 |
IPSDK
4_1_0_2
IPSDK : Image Processing Software Development Kit
|
|
IPSDK
4_1_0_2
IPSDK : Image Processing Software Development Kit
|
| ▼Nipsdk | |
| ▼Nclassif | |
| CKMeansImgLvl1 | Level 1 algorithm: classifies pixels of an image using k-means algorithm |
| ▼Nimaproc | |
| ▶Nadvmorpho | Namespace aggregating advanced morphological operations on images |
| CAdaptiveBinaryWatershed2dImgLvl1 | Level 1 algorithm: Adaptive binary watershed 2d algorithm |
| CAdaptiveBinaryWatershed3dImgLvl1 | Level 1 algorithm: Adaptive binary watershed 3d algorithm |
| CBinaryReconstruction2dImgLvl1 | Level 1 algorithm: Binary reconstruction of an image 2d |
| CBinaryReconstruction3dImgLvl1 | Level 1 algorithm: Binary reconstruction of an image 3d |
| CConnectedComponent2dImgLvl1 | Level 1 algorithm: Connected component image 2d labeling algorithm |
| CConnectedComponent2dImgLvl2 | Level 2 algorithm: Connected component image 2d labeling algorithm |
| CConnectedComponent3dImgLvl1 | Level 1 algorithm: Connected component image 3d labeling algorithm |
| CConnectedComponent3dImgLvl2 | Level 2 algorithm: Connected component image 3d labeling algorithm |
| CDilateLabel2dImgLvl1 | Level 1 algorithm: Dilate the labels in the input label image until filling all pixels |
| CDilateLabel2dImgLvl2 | Level 2 algorithm: Dilate the labels in the input label image until filling all pixels |
| CDilateLabel2dImgLvl3 | Level 3 algorithm: Dilate the labels in the input label image until filling all pixels |
| CDilateLabel3dImgLvl1 | Level 1 algorithm: Dilate the labels in the input label image until filling all pixels |
| CDilateLabel3dImgLvl2 | Level 2 algorithm: Dilate the labels in the input label image until filling all pixels |
| CDilateLabel3dImgLvl3 | Level 3 algorithm: Dilate the labels in the input label image until filling all pixels |
| CDilateLocalExtrema2dImgLvl1 | Level 1 algorithm: algorithm allowing to extract dilated local extrema 2d from an image |
| CDilateLocalExtrema3dImgLvl1 | Level 1 algorithm: algorithm allowing to extract dilated local extrema 3d from an image |
| CDistanceMap2dData | Structure allowing to encaspulate the distance map with the DistWeight2d coefficients |
| CDistanceMap3dData | Structure allowing to encaspulate the distance map with the DistWeight3d coefficients |
| CFillHole2dImgLvl1 | Level 1 algorithm: holes filling in a binary 2d image |
| CFillHole3dImgLvl1 | Level 1 algorithm: holes filling in a binary 3d image |
| CGenericSeededDistanceMap2dImgLvl1 | Level 1 algorithm: generic seeded distance map transform of an input binary image according to a seeded image |
| CGenericSeededDistanceMap2dImgLvl2 | Level 2 algorithm: generic seeded distance map transform of an input binary image according to a seeded image |
| CGenericSeededDistanceMap3dImgLvl1 | Level 1 algorithm: generic seeded distance map transform of a 3d input binary image according to a 3d seeded image |
| CGenericSeededDistanceMap3dImgLvl2 | Level 2 algorithm: generic seeded distance map transform of a 3d input binary image according to a 3d seeded image |
| CGreyReconstruction2dImgLvl1 | Level 1 algorithm: grey reconstruction of an image 2d |
| CGreyReconstruction2dImgLvl2 | Level 2 algorithm: grey reconstruction of an image 2d |
| CGreyReconstruction2dImgLvl3 | Level 3 algorithm: grey reconstruction of an image 2d |
| CGreyReconstruction3dImgLvl1 | Level 1 algorithm: grey reconstruction of an image 3d |
| CGreyReconstruction3dImgLvl2 | Level 2 algorithm: grey reconstruction of an image 3d |
| CGreyReconstruction3dImgLvl3 | Level 3 algorithm: grey reconstruction of an image 3d |
| CIPSDKIPLAdvancedMorphologyException | Exception class for library IPSDKIPLAdvancedMorphology |
| CKeepBigShape2dImgLvl1 | Level 1 algorithm: keep only the big connected components in binary or label 2d image |
| CKeepBigShape2dImgLvl2 | Level 2 algorithm: keep only the big connected components in binary or label 2d image |
| CKeepBigShape3dImgLvl1 | Level 1 algorithm: keep only the big connected components in binary or label 3d image |
| CKeepBigShape3dImgLvl2 | Level 2 algorithm: keep only the big connected components in binary or label 3d image |
| CLocalExtrema2dImgLvl1 | Level 1 algorithm: algorithm allowing to extract local extrema 2d from an image |
| CLocalExtrema2dImgLvl2 | Level 2 algorithm: algorithm allowing to extract local extrema 2d from an image |
| CLocalExtrema2dImgLvl3 | Level 3 algorithm: algorithm allowing to extract local extrema 2d from an image |
| CLocalExtrema3dImgLvl1 | Level 1 algorithm: algorithm allowing to extract local extrema 3d from an image |
| CLocalExtrema3dImgLvl2 | Level 2 algorithm: algorithm allowing to extract local extrema 3d from an image |
| CLocalExtrema3dImgLvl3 | Level 3 algorithm: algorithm allowing to extract local extrema 3d from an image |
| CMaxPropagation2dImgLvl1 | Level 1 algorithm: propagation of maxima in a 2d image |
| CMaxPropagation3dImgLvl1 | Level 1 algorithm: propagation of maxima in a 3d image |
| CMinPropagation2dImgLvl1 | Level 1 algorithm: propagation of minima in a 2d image |
| CMinPropagation3dImgLvl1 | Level 1 algorithm: propagation of minima in a 3d image |
| CRemoveBorder2dImgLvl1 | Level 1 algorithm: removal of connected components in contact with image borders in binary or label 2d images |
| CRemoveBorder3dImgLvl1 | Level 1 algorithm: removal of connected components in contact with image borders in binary or label 3d images |
| CRemoveSmallShape2dImgLvl1 | Level 1 algorithm: removal of small connected component in binary or label 2d image |
| CRemoveSmallShape2dImgLvl2 | Level 2 algorithm: removal of small connected component in binary or label 2d image |
| CRemoveSmallShape3dImgLvl1 | Level 1 algorithm: removal of small connected component in binary or label 3d image |
| CRemoveSmallShape3dImgLvl2 | Level 2 algorithm: removal of small connected component in binary or label 3d image |
| CRidgeLine2dImgLvl1 | Level 1 algorithm: Computes the shortest path from one border to its opposite, given distance ponderation map |
| CRidgeLine2dImgLvl2 | Level 2 algorithm: Computes the shortest path from one border to its opposite, given distance ponderation map |
| CRidgeLine3dImgLvl1 | Level 1 algorithm: Computes the shortest path from one border to its opposite, given distance ponderation map |
| CRidgeLine3dImgLvl2 | Level 2 algorithm: Computes the shortest path from one border to its opposite, given distance ponderation map |
| CSeededDistanceMap2dImgLvl1 | Level 1 algorithm: seeded distance map transform of an input binary image according to a seeded image |
| CSeededDistanceMap3dImgLvl1 | Level 1 algorithm: seeded distance map transform of a 3d input binary image according to a 3d seeded image |
| CSeededWatershed2dImgLvl1 | Level 1 algorithm: seeded watershed 2d algorithm |
| CSeededWatershed3dImgLvl1 | Level 1 algorithm: seeded watershed 3d algorithm |
| CSuperPixels2dImgLvl1 | Level 1 algorithm: Super pixels algorithm based on SLIC |
| CSuperPixels2dImgLvl2 | Level 2 algorithm: Super pixels algorithm based on SLIC |
| CSuperPixels2dImgLvl3 | Level 3 algorithm: Super pixels algorithm based on SLIC |
| CSuperVoxels3dImgLvl1 | Level 1 algorithm: Super voxels algorithm based on SLIC |
| CSuperVoxels3dImgLvl2 | Level 2 algorithm: Super voxels algorithm based on SLIC |
| CSuperVoxels3dImgLvl3 | Level 3 algorithm: Super voxels algorithm based on SLIC |
| CWatershedBinarySeparation2dImgLvl1 | Level 1 algorithm: algorithm, based on watershed, allowing to separate binary 2d shapes |
| CWatershedBinarySeparation3dImgLvl1 | Level 1 algorithm: algorithm, based on watershed, allowing to separate binary 3d shapes |
| CWatershedGreySeparation2dImgLvl1 | Level 1 algorithm: algorithm, based on watershed, allowing to separate grey 2d shapes |
| CWatershedGreySeparation3dImgLvl1 | Level 1 algorithm: algorithm, based on watershed, allowing to separate grey 3d shapes |
| ▶Narithm | Namespace aggregating arithmetic operations on images, pixel by pixel |
| CAbsImgGpuLvl3 | Level 2 algorithm dedicated to GPU calculation |
| CAbsImgLvl1 | Level 1 algorithm: computation of the absolute value of an image, pixel by pixel |
| CAbsImgLvl2 | Level 2 algorithm: computation of the absolute value of an image, pixel by pixel |
| CAbsImgLvl3 | Level 3 algorithm: computation of the absolute value of an image, pixel by pixel |
| CAddImgImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CAddImgImgLvl1 | Level 1 algorithm: addition of 2 images, pixel by pixel |
| CAddImgImgLvl2 | Level 2 algorithm: addition of 2 images, pixel by pixel |
| CAddImgImgLvl3 | Level 3 algorithm: addition of 2 images, pixel by pixel |
| CAddScalarImgLvl1 | Level 1 algorithm: addition of an image and a scalar |
| CAddScalarImgLvl2 | Level 2 algorithm: addition of an image and a scalar |
| CAddScalarImgLvl3 | Level 3 algorithm: addition of an image and a scalar |
| CBlendImgImgLvl1 | Level 1 algorithm: blending on 2 images |
| CBlendImgImgLvl2 | Level 2 algorithm: blending on 2 images |
| CBlendImgImgLvl3 | Level 3 algorithm: blending on 2 images |
| CBoundImgLvl1 | Level 1 algorithm: Algorithm allowing to bound image values to a given range |
| CBoundImgLvl2 | Level 2 algorithm: Algorithm allowing to bound image values to a given range |
| CBoundImgLvl3 | Level 3 algorithm: Algorithm allowing to bound image values to a given range |
| CCartesianImg | Structure allowing to encaspulate x and y cartesian images associated to the result of a polar to cartesian transformation |
| CCartesianToPolarImgLvl1 | Level 1 algorithm: cartesian to polar coordinates transformation |
| CCartesianToPolarImgLvl2 | Level 2 algorithm: cartesian to polar coordinates transformation |
| CCartesianToPolarImgLvl3 | Level 3 algorithm: cartesian to polar coordinates transformation |
| CComplexImg | Structure containing the real and imaginary parts of a complex image |
| CComplexMultiplyImgImgGpuLvl3 | Level 2 algorithm: Multiplication between two complex images, dedicated to GPU calculation |
| CComplexMultiplyImgImgLvl1 | Level 1 algorithm: Multiplication between two complex images |
| CComplexMultiplyImgImgLvl2 | Level 2 algorithm: Multiplication between two complex images |
| CComplexMultiplyImgImgLvl3 | Level 3 algorithm: Multiplication between two complex images |
| CDivideImgImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CDivideImgImgLvl1 | Level 1 algorithm: division of one image by another, pixel by pixel |
| CDivideImgImgLvl2 | Level 2 algorithm: division of one image by another, pixel by pixel |
| CDivideImgImgLvl3 | Level 3 algorithm: division of one image by another, pixel by pixel |
| CFormula2dImgLvl1 | Level 1 algorithm: algorithm allowing to generate a 2d image using a formula string |
| CFormula2dImgLvl2 | Level 2 algorithm: algorithm allowing to generate a 2d image using a formula string |
| CFormula3dImgLvl1 | Level 1 algorithm: algorithm allowing to generate a 3d image using a formula string |
| CFormula3dImgLvl2 | Level 2 algorithm: algorithm allowing to generate a 3d image using a formula string |
| CFormulaInOptImages | Structure allowing to encapsulated input optional images associated to an image formula |
| CGenericAddImgImgLvl1 | Level 1 algorithm: functions for add images with different dimensions |
| CGenericDivideImgImgLvl1 | Level 1 algorithm: functions for divide images with different dimensions |
| CGenericMultiplyImgImgLvl1 | See Multiplication between images with different dimensions for a complete algorithm description |
| CGenericSubtractImgImgLvl1 | See Subtraction between images with different dimensions for a complete algorithm description |
| CIPSDKIPLArithmeticException | Exception class for library IPSDKIPLArithmetic |
| CL1Norm2ImgLvl1 | Level 1 algorithm: Computation of L1 (taxicab) norm of two images |
| CL1Norm2ImgLvl2 | Level 2 algorithm: Computation of L1 (taxicab) norm of two images |
| CL1Norm2ImgLvl3 | Level 3 algorithm: Computation of L1 (taxicab) norm of two images |
| CL1Norm3ImgLvl1 | Level 1 algorithm: Computation of L1 (taxicab) norm of three images |
| CL1Norm3ImgLvl2 | Level 2 algorithm: Computation of L1 (taxicab) norm of three images |
| CL1Norm3ImgLvl3 | Level 3 algorithm: Computation of L1 (taxicab) norm of three images |
| CL2Norm2ImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CL2Norm2ImgLvl1 | Level 1 algorithm: Computation of L2 (euclidian) norm of two images |
| CL2Norm2ImgLvl2 | Level 2 algorithm: Computation of L2 (euclidian) norm of two images |
| CL2Norm2ImgLvl3 | Level 3 algorithm: Computation of L2 (euclidian) norm of two images |
| CL2Norm3ImgLvl1 | Level 1 algorithm: Computation of L2 (euclidian) norm of three images |
| CL2Norm3ImgLvl2 | Level 2 algorithm: Computation of L2 (euclidian) norm of three images |
| CL2Norm3ImgLvl3 | Level 3 algorithm: Computation of L2 (euclidian) norm of three images |
| CLinearCombineImgImgLvl1 | Level 1 algorithm: linear combination of 2 images, pixel by pixel |
| CLinearCombineImgImgLvl2 | Level 2 algorithm: linear combination of 2 images, pixel by pixel |
| CLinearCombineImgImgLvl3 | Level 3 algorithm: linear combination of 2 images, pixel by pixel |
| CMaxAbsImgImgLvl1 | Level 1 algorithm: maximum of absolute values of 2 images, pixel by pixel |
| CMaxAbsImgImgLvl2 | Level 2 algorithm: maximum of absolute values of 2 images, pixel by pixel |
| CMaxAbsImgImgLvl3 | Level 3 algorithm: maximum of absolute values of 2 images, pixel by pixel |
| CMaxImgImgLvl1 | Level 1 algorithm: maximum of 2 images, pixel by pixel |
| CMaxImgImgLvl2 | Level 2 algorithm: maximum of 2 images, pixel by pixel |
| CMaxImgImgLvl3 | Level 3 algorithm: maximum of 2 images, pixel by pixel |
| CMinImgImgLvl1 | Level 1 algorithm: minimum of 2 images, pixel by pixel |
| CMinImgImgLvl2 | Level 2 algorithm: minimum of 2 images, pixel by pixel |
| CMinImgImgLvl3 | Level 3 algorithm: minimum of 2 images, pixel by pixel |
| CMultiplyAddScalarImgLvl1 | Level 1 algorithm: affine operation on an image |
| CMultiplyAddScalarImgLvl2 | Level 2 algorithm: affine operation on an image |
| CMultiplyAddScalarImgLvl3 | Level 3 algorithm: affine operation on an image |
| CMultiplyImgImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CMultiplyImgImgLvl1 | Level 1 algorithm: multiplication of 2 images, pixel by pixel |
| CMultiplyImgImgLvl2 | Level 2 algorithm: multiplication of 2 images, pixel by pixel |
| CMultiplyImgImgLvl3 | Level 3 algorithm: multiplication of 2 images, pixel by pixel |
| CMultiplyScalarImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CMultiplyScalarImgLvl1 | Level 1 algorithm: multiplication of an image and a scalar |
| CMultiplyScalarImgLvl2 | Level 2 algorithm: multiplication of an image and a scalar |
| CMultiplyScalarImgLvl3 | Level 3 algorithm: multiplication of an image and a scalar |
| CPolarImg | Structure allowing to encaspulate rho and theta polar images associated to the result of a cartesian to polar transformation |
| CPolarToCartesianImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CPolarToCartesianImgLvl1 | Level 1 algorithm: polar to cartesian coordinates transformation |
| CPolarToCartesianImgLvl2 | Level 2 algorithm: polar to cartesian coordinates transformation |
| CPolarToCartesianImgLvl3 | Level 3 algorithm: polar to cartesian coordinates transformation |
| CRoundImgLvl1 | Level 1 algorithm: Round values of a floating point image |
| CRoundImgLvl2 | Level 2 algorithm: Round values of a floating point image |
| CRoundImgLvl3 | Level 3 algorithm: Round values of a floating point image |
| CSqrtImgLvl1 | Level 1 algorithm: computation of the square root of an image, pixel by pixel |
| CSqrtImgLvl2 | Level 2 algorithm: computation of the square root of an image, pixel by pixel |
| CSqrtImgLvl3 | Level 3 algorithm: computation of the square root of an image, pixel by pixel |
| CSquareImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CSquareImgLvl1 | Level 1 algorithm: Computation of the square of an image, pixel by pixel |
| CSquareImgLvl2 | Level 2 algorithm: Computation of the square of an image, pixel by pixel |
| CSquareImgLvl3 | Level 3 algorithm: Computation of the square of an image, pixel by pixel |
| CSubtractImgImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CSubtractImgImgLvl1 | Level 1 algorithm: subtraction of one image by another, pixel by pixel |
| CSubtractImgImgLvl2 | Level 2 algorithm: subtraction of one image by another, pixel by pixel |
| CSubtractImgImgLvl3 | Level 3 algorithm: subtraction of one image by another, pixel by pixel |
| CSubtractScalarImgLvl1 | Level 1 algorithm: subtraction of a scalar and an image (scalar - image) |
| CSubtractScalarImgLvl2 | Level 2 algorithm: subtraction of a scalar and an image (scalar - image) |
| CSubtractScalarImgLvl3 | Level 3 algorithm: subtraction of a scalar and an image (scalar - image) |
| ▶Nattr | Namespace agregating IPSDK image processing attributes used by algorithm |
| CAbscissRgb | Absciss and RGB triplet |
| CAccumIntensityThreshold | Threshold on accumulation intensities for local maxima extraction |
| CCannyThresholds | Low and high thresholds used for the Canny edges detection during the hysteresis phasis |
| CClusterCenter | Center of a cluster (used for k-means algorithm, for instance) |
| CClusterEltInfo | Information associated to a cluster element |
| CClusterPpties | Properties of the cluster |
| CClustersCenters | Centers of clusters (used by k-means algorithm, for instance) |
| CClustersPptiesColl | Collection of clusters properties |
| CColorConversionTransform | Structure agregating information allowing to convert from a color space to another linked by a linear transform |
| CCompareResult | Result for images comparison operation |
| CContourExtractionSettings | Settings used for contours extraction |
| CCoords2d | Cartesian coordinates 2d |
| CCoords2dColl | Collection of cartesian coordinates 2d |
| CCoords3d | Cartesian coordinates 3d |
| CCoords3dColl | Collection of cartesian coordinates 3d |
| CCornerDetectionParams | Parameters used during corner detection process |
| CCumulativeHistogramData | Data item containing cumulative histogram information |
| CCyclicRgbColorMap | Cyclic RGB color map |
| CCylinderUnrollingIntegrationParams | Integration parameters for cylinder unrolling algorithm |
| CDeepFlowParams | Parameters to set up the deep flow algorithm |
| CDFTConfig | Configuration structure for Discrete Fourier Transform algorithm |
| CDistWeight2d | Weighting coefficients used for 2d distance calculation |
| CDistWeight3d | Weighting coefficients used for 2d distance calculation |
| CDoubles | Collection of doubles |
| CEigen2dData | Eigen decomposition 2d data |
| CEigen2dDataColl | Collection of eigen decomposition 2d data |
| CEigen3dData | Eigen decomposition 3d data |
| CEigen3dDataColl | Collection of eigen decomposition 3d data |
| CEvenlySpacedRange | Evenly spaced range, made of a minimum, a maximum, and a number of bins |
| CFeature2dGreySignature | Feature 2d signature objects based on local grey level analysis |
| CFeature3dGreySignature | Feature 3d signature objects based on local grey level analysis |
| CFeatureAssignmentInfo | Structure allowing to agregate feature assignment informations |
| CFeatures2dGreySignature | Collection of feature 2d signature objects based on local grey level analysis |
| CFeatures2dRegistrationResult | Result of features 2d registration algorithm |
| CFeatures2dRegistrationResults | Collection of results for features 2d registration algorithm |
| CFeatures3dGreySignature | Collection of feature 3d signature objects based on local grey level analysis |
| CFeatures3dRegistrationResult | Result of features 3d registration algorithm |
| CFeatures3dRegistrationResults | Collection of results for features 3d registration algorithm |
| CFeaturesRegistrationIndicators | Features registration quality result indicators |
| CFloats | Collection of floats |
| CGaborParams | Parameters to define a Gabor signal |
| CGaussianCoverage | Parameter allowing to specify a gaussian distribution coverage for processing |
| CGaussianNoiseStats | Gaussian noise measures in an image |
| CGaussianParameter | Parameters describing a Gaussian |
| CGlobalEntropyResult | Image global entropy |
| CHistogramData | Results computed from a histogram measure |
| CHistoMsrParams | Input parameters of the HistogramMsr algorithm |
| CHoughCircle2dPpties | Properties of 2d circles detected by 2d Hough algorithm |
| CHoughCircles2dPpties | Collection of 2d circles detected by 2d Hough algorithm |
| CHoughCirclesKernelXY | Kernel information associated to Hough circles detector (phase-coded implementation) |
| CHoughCirclesKernelXYElt | Element of kernel for 2D Hough circles detector |
| CHoughCirclesPhaseCodedKernelXY | Kernel information associated to Hough circles detector (phase-coded implementation) |
| CHoughCirclesPhaseCodedKernelXYElt | Element of kernel for 2D Hough circles detector (phase-coded implementation) |
| CHoughCirclesRadiusRange | Range of radius of circles to detect |
| CHoughLine2dPpties | Properties of a 2d line detected by 2d Hough algorithm |
| CHoughLines2dPpties | Collection of 2d lines detected by 2d Hough algorithm |
| CHoughLinesExtractionParams | Parameters used for step of extraction of lines in Hough lines algorithm |
| CHoughLinesGradientImgParams | Parameters for Hough lines image generation algorithm |
| CHoughLinesImgParams | Parameters for Hough lines image generation algorithm |
| CHoughSphere3dPpties | Properties of 2d circles detected by 2d Hough algorithm |
| CHoughSpheres3dPpties | Collection of 3d spheres detected by 3d Hough algorithm |
| CHoughSpheresKernelXYZ | Kernel information associated to Hough sphere detector |
| CHoughSpheresKernelXYZElt | Element of kernel for 3D Hough spheres detector |
| CHuMoments | Hu moments of a shape |
| CHysteresisParams | Thresholding parameter for hysteresis filtering |
| CImageValueExtractionMethod | Object allowing to define used image values extraction method |
| CImg2dOffset | Image 2d offset used as input parameter by image processing algorithms, such as ROI extraction |
| CImg2dSize | Image 2d size used as input parameter by image processing algorithms, such as ROI extraction |
| CImg3dOffset | Image 3d offset used as input parameter by image processing algorithms, such as ROI extraction |
| CImg3dSize | Image 3d size used as input parameter by image processing algorithms, such as ROI extraction |
| CImgComparisonTolerance | Tolerance for image comparison tolerance algorithm |
| CInAccumIntensityThreshold | [Input] threshold on accumulation intensities for local maxima extraction |
| CInAlpha | [Input] Component of a 3D orientation |
| CInAnisotropy | [Input] Anisotropy factor for processing operation |
| CInArithmeticVal | [Input] value used for arithmetic operations |
| CInAxis | [Input] Indicates the axis to process |
| CInBinImg | [Input] binary image for processing operation |
| CInBinImg3d | [Input] binary 3d image for processing operation |
| CInBinKnlYStrip2d | [Input] binary image y strip 2d for operation associated to a kernel |
| CInBinKnlZStrip3d | [Input] binary image z strip 3d for operation associated to a kernel |
| CInBinLabImg | [Input] binary or label image for processing operation |
| CInBinLabImg3d | [Input] binary or label 3d image for processing operation |
| CInBinLabKnlZStrip3d | [Input] Input binary or label Z strip 3d with kernel |
| CInBinLabYStrip2d1 | [Input] First input binary or label strip in 2d |
| CInBinLabYStrip2d2 | [Input] Second input binary or label Y strip in 2d |
| CInBinLabZStrip3d | [Input] Input binary or label Z strip in 3d |
| CInBinMarkImg | [Input] binary marker image for processing operation |
| CInBinMarkImg3d | [Input] binary 3d marker image for processing operation |
| CInBinMarkYStrip2d | [Input] binary marker y strip 2d for operation |
| CInBinSeedImg | [Input] Seeded binary image |
| CInBinSeedImg3d | [Input] 3d seeded binary image |
| CInBinSeedYStrip2d | [Input] y strip 2d of binary seed images |
| CInBinSeedZStrip3d | [Input] seeded binary z strip 3d for operation |
| CInBinXStrip2d | [Input] binary x strip 2d for operation |
| CInBinYStrip2d | [Input] binary y strip 2d for operation |
| CInBinZStrip3d | [Input] binary z strip 3d for operation |
| CInBlendMultiplier | [Input] Multiplier value used for image blending operation |
| CInBlurWeight | [Input] weight factor used for blur combination operation |
| CInBoolFlag | [Input] Boolean flag |
| CInCannyThresholds | [Input] low and high thresholds used for the Canny edges detection during the hysteresis phasis |
| CInCenter2d | [Input] 2d center |
| CInCircleIntensityType | [Input] circle intensity type for detection algorithms |
| CInClassImg | [Input] Image of classes |
| CInClassYStrip2d | [Input] class y strip 2d |
| CInClusterCenter | [Input] Center of a cluster |
| CInClusterId | [Input] Identifier of a cluster |
| CInClustersCenters | [Input] centers of clusters |
| CInClustersPptiesColl | [Input] Collection of clusters properties |
| CInColorConversionTransform | [Input] information allowing to convert from a color space to another linked by a linear transform |
| CInColorImg | [Input] color image for processing operation |
| CInColorImg1 | [Input] First color image |
| CInColorImg2 | [Input] Second color image |
| CInColorOrGreyYStrip2d | [Input] Color or grey y strip 2d for processing operation |
| CInColorOrGreyZStrip3d | [Input] Color or grey z strip 3d for processing operation |
| CInColorYStrip2 | [Input] second color Y strip |
| CInColorYStrip2d | [Input] color y strip 2d for processing operation |
| CInColorYStrip2d1 | [Input] first color YStrip |
| CInColorZStrip3d | [Input] color z strip 3d for processing operation |
| CInCompactness | [Input] Ratio between distance and color for super pixels algorithm |
| CInComplexImKnlYStrip2d | [Input] complex image y strip 2d attribute (imaginary part) |
| CInComplexRealKnlYStrip2d | [Input] real part of a complex image y strip 2d attribute |
| CInContourExtractionSettings | [Input] Settings used for contours extraction |
| CInConvertImageBufferType | Input image buffer type parameter for image type convertion operation |
| CInConvolBorder2d | [Input] Border preparation policy for 2d convolution algorithm |
| CInConvolBorder3d | [Input] Border preparation policy for 3d convolution algorithm |
| CInCoords2dColl | [Input] collection of cartesian 2d coordinates |
| CInCoords3dColl | [Input] collection of cartesian 3d coordinates |
| CInCornerDetectionParams | [Input] parameters used during corner detection process |
| CInCutoffFrequency | [Input] Cutoff normalizes frequency for band-pass filtering in Fourier space (must belong to [-0.5, 0.5[) |
| CInCylinderUnrollingIntegrationParams | [Input] integration parameters for cylinder unrolling process |
| CInDeepFlowParams | [Input] Parameters to st up the deep flow |
| CIndexableUInt64 | Container allowing to create a plan index of a single UInt64 |
| CInDFTConfig | [Input] configuration for Discrete Fourier Transform algorithm |
| CInDFTDirection | [Input] Discrete Fourier Transform computation direction |
| CInDFTImg1 | [Input] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInDFTImg2 | [Input] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInDFTImg3d1 | [Input] first element for 3d Discreet Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInDFTImg3d2 | [Input] second element for 3d Discreet Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInDFTQuadrantsPolicy | [Input] quadrants policy used to store Discrete Fourier Transform data |
| CInDFTXScale | [Input] scale used along X axis during Discrete Fourier Transform computation |
| CInDFTYScale | [Input] scale used along Y axis during Discrete Fourier Transform computation |
| CInDFTZScale | [Input] scale used along Z axis during Discrete Fourier Transform computation |
| CInDilateFactor | [Input] factor used for dilation |
| CInDirSmoothFactor | [Input] Directional smoothing amplitude factor |
| CInDistWeight2d | [Input] Weighting coefficients for 2d distance calculation |
| CInDistWeight3d | [Input] Weighting coefficients for 3d distance calculation |
| CInDxImg | [Input] Displacement map along the x-axis |
| CInDyImg | [Input] Displacement map along the y-axis |
| CInExtremumExtractType | [Input] extremum feature extraction type associated to algorithm |
| CInFactor | [Input] Multiplying factor. Used for instance by shading correction algorithm |
| CInFactor1 | [Input] first factor, used in particular by linear combination algorithm |
| CInFactor2 | [Input] second factor, used in particular by linear combination algorithm |
| CInFeaturesDistX | [Input] distance between detected features along x axis (tchebychev distance) |
| CInFeaturesDistY | [Input] distance between detected features along y axis (tchebychev distance) |
| CInFeaturesDistZ | [Input] distance between detected features along z axis (tchebychev distance) |
| CInFilterFormula | [Input] Logic measure formula used for shape analysis filtering stage |
| CInFirstLabelOffset | [Input] first label offset used for fusion operation |
| CInFlattenedClustersCenters | [Input] flattened collection of clusters centers |
| CInFrequencyBandPassFilterType | [Input] Indicates the band-pass filter to apply on the input image |
| CInGaussianCoverage | [Input] Parameter allowing to specify a gaussian distribution coverage for processing |
| CInGaussianParameter | [Input] Parameters describing a Gaussian |
| CInGradientStdDev | [Input] Standard deviation used for gradient operation along all axis |
| CInGradStdDev | [Input] standard deviation used for gradient computation |
| CInGreyImg2d | [Input] 2d grey levels image |
| CInGreyMarkImg | [Input] grey marker image for processing operation |
| CInGreyMarkImg3d | [Input] grey marker3d image for processing operation |
| CInGreyMsrImg | [Input] grey image used for intensity measurements |
| CInGreyMsrImg3d | [Input] grey image 3d used for intensity measurements |
| CInGreySeqImg2d | [Input] grey level sequence image 2d for processing operation |
| CInGreySignatures2d1 | [Input] first collection of features 2d grey signature used during processing |
| CInGreySignatures2d2 | [Input] second collection of features 2d grey signature used during processing |
| CInGreySignatures3d1 | [Input] first collection of features 3d grey signature used during processing |
| CInGreySignatures3d2 | [Input] second collection of features 3d grey signature used during processing |
| CInGreyUIntImg | [Input] grey levels image (data contained in image buffer are unsigned integers) |
| CInGreyUIntImg3d | [Input] 3d grey levels image (data contained in image buffer are unsigned integers) |
| CInGxGreyImg2d | [Input] 2d grey levels image of gradient computed along x-axis |
| CInGxGreyImg3d | [Input] 3d grey levels image of gradient computed along x-axis |
| CInGxImg | [Input] image of gradient computed along x axis |
| CInGxImg3d | [Input] image 3d of gradient computed along x axis |
| CInGxKnlYStrip2d | [Input] image y strip 2d attribute containing gradient computed along x-axis |
| CInGxKnlZStrip3d | [Input]image z strip 3d containing gradient computed along x-axis |
| CInGxSingleGreyImg2d | [Input] single grey-levels 2d image of gradient computed along x-axis |
| CInGxTile2dColl | [Input] tile 2d collection associated to x gradient coordinate |
| CInGxTile3dColl | [Input] tile 3d collection associated to x gradient coordinate |
| CInGxYStrip2d | [Input] image y strip 2d attribute containing gradient computed along x-axis |
| CInGyGreyImg2d | [Input] 2d grey levels image of gradient computed along y-axis |
| CInGyGreyImg3d | [Input] 3d grey levels image of gradient computed along y-axis |
| CInGyImg | [Input] image of gradient computed along Y axis |
| CInGyImg3d | [Input] image 3d of gradient computed along y axis |
| CInGyKnlYStrip2d | [Input] image y strip 2d attribute containing gradient computed along y-axis |
| CInGyKnlZStrip3d | [Input]image z strip 3d containing gradient computed along y-axis |
| CInGySingleGreyImg2d | [Input] single grey-levels 2d image of gradient computed along y-axis |
| CInGyTile2dColl | [Input] tile 2d collection associated to y gradient coordinate |
| CInGyTile3dColl | [Input] tile 3d collection associated to y gradient coordinate |
| CInGyYStrip2d | [Input] image y strip 2d attribute containing gradient computed alongy-axis |
| CInGzGreyImg3d | [Input] 3d grey levels image of gradient computed along z-axis |
| CInGzImg3d | [Input] image 3d of gradient computed along z axis |
| CInGzKnlZStrip3d | [Input]image z strip 3d containing gradient computed along z-axis |
| CInGzTile3dColl | [Input] tile 3d collection associated to z gradient coordinate |
| CInHalfKnlSize | [Input] half kernel size (square or cubic kernel) |
| CInHalfKnlSizeX | [Input] half kernel size along X axis for operation |
| CInHalfKnlSizeY | [Input] half kernel size along Y axis for operation |
| CInHalfKnlSizeZ | [Input] half kernel size along Z axis for operation |
| CInHistogram | [Input] histogram properties |
| CInHistogram1 | [Input] first histogram |
| CInHistogram2 | [Input] second histogram |
| CInHistoMsrParams | [Input] input parameters of the HistogramMsr algorithm |
| CInHomogeneousImg | [Input] Homogeneous image |
| CInHoughCircles2dAlgoMethod | [Input] Hough circles 2d detector method |
| CInHoughCircles2dCenters | [Input] Positions of centers of 2d circles detected by 2d Hough algorithm |
| CInHoughCirclesKernelXY | [Input] kernel information associated to Hough circles detector (phase-coded implementation) |
| CInHoughCirclesPhaseCodedKernelXY | [Input] kernel information associated to Hough circles detector (phase-coded implementation) |
| CInHoughCirclesRadiusRange | [Input] range of radius of circles to detect using Hough circles algorithm |
| CInHoughSpheres3dCenters | [Input] Positions of centers of 3d spheres detected by 3d Hough algorithm |
| CInHoughSpheres3dPpties | [Input] Properties of 3d spheres detected by 3d Hough algorithm |
| CInHoughSpheresKernelXYZ | [Input] kernel information associated to Hough circles detector |
| CInHysteresisParams | [Input] Parameters for hysteresis threshold |
| CInIgnoreForeground | [Input] Flags indicating if the forground is ignored during a calculation |
| CInImageFormula2d | [Input] Image formula 2d used for image generation |
| CInImageFormula3d | [Input] Image formula 3d used for image generation |
| CInImageValueExtractionMethod | [Input] object allowing to define used image values extraction method |
| CInImg | [Input] image for processing operation |
| CInImg1 | [Input] First image for processing operation |
| CInImg2 | [Input] Second image for processing operation |
| CInImg2d | [Input] 2d image for operation |
| CInImg3 | [Input] Third image for processing operation |
| CInImg3d | [Input] 3d image for operation |
| CInImg3d1 | [Input] First 3d image for operation |
| CInImg3d2 | [Input] Second 3d image for operation |
| CInImg3d3 | [Input] Third 3d image for operation |
| CInImg4 | [Input] Fourth image for processing operation |
| CInImgComparisonTolerance | [Input] tolerance used in images comparison algorithm |
| CInImgMean1 | [Input] Mean value of the first input image |
| CInImgMean2 | [Input] Mean value of the second input image |
| CInInputImg2dOffset | [Input] input image 2d offset |
| CInInputImg2dSize | [Input] input image size associated to operation |
| CInInputImg3dOffset | [Input] input image 3d offset |
| CInInputImg3dSize | [Input] input image size associated to operation |
| CInInputRange | [Input] input image intensity range for algorithm |
| CInIntensityLUT | [Input] intensity lookup table used by algorithm |
| CInInterpolationPolicy | [Input] interpolation policy used to extract local data from image |
| CInIntImg | [Input] image for processing operation (data contained in image buffer are integers) |
| CInIntImg1 | [Input] First image for processing operation (data contained in image buffer are integers) |
| CInIntImg2 | [Input] Second image for processing operation (data contained in image buffer are integers) |
| CInIntImg3d | [Input] image 3d for processing operation (data contained in image buffer are integers) |
| CInIntYStrip2d | [Input] integer y strip 2d for operation |
| CInIntYStrip2d1 | [Input] First integer y strip 2d for operation |
| CInIntYStrip2d2 | [Input] Second integer y strip 2d for operation |
| CInIntZStrip3d | [Input] integer z strip 3d for operation |
| CInIterId | [Input] Value to inform lower levels of the current iteration for iterative algorithm |
| CInKDEBandwidthPolicy | [Input] policy used to compute smoothing bandwidth parameter during a kernel density estimation |
| CInKDENbSamples | [Input] number of sample for kernel density estimation |
| CInKKMeansCentroids | [Input] collection of kernel cluster centroid representation |
| CInKnlDistYStrip2d | [Input] distance image y strip 2d for operation associated to a kernel |
| CInKnlDistZStrip3d | [Input] distance image z strip 3d for operation associated to a kernel |
| CInKnlLabelYStrip2d | [Input] label y strip 2d with kernel for processing operation |
| CInKnlLabelZStrip3d | [Input] label z strip 3d with kernel for processing operation |
| CInKnlRealYStrip2d1 | [Input] First real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d2 | [Input] Second real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d3 | [Input] Third real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d4 | [Input] Fourth real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d5 | [Input] Fifth real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d6 | [Input] Sixth real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d7 | [Input] Seventh real image y strip 2d for operation associated to a kernel |
| CInKnlRealYStrip2d8 | [Input] Eighth real image y strip 2d for operation associated to a kernel |
| CInKnlXStrip2d | [Input] image x strip 2d attribute associated to a kernel |
| CInKnlXXYStrip2d | [Input] XX y strip 2d matrix component for processing operation |
| CInKnlXXZStrip3d | [Input] XX z strip 3d matrix component for processing operation |
| CInKnlXY | [Input] kernel xy for processing operation |
| CInKnlXYYStrip2d | [Input] XY y strip 2d matrix component for processing operation |
| CInKnlXYZ | [Input] kernel xyz for processing operation |
| CInKnlXYZStrip3d | [Input] XY z strip 3d matrix component for processing operation |
| CInKnlXZZStrip3d | [Input] XZ z strip 3d matrix component for processing operation |
| CInKnlYStrip2d | [Input] image y strip 2d attribute associated to a kernel |
| CInKnlYYYStrip2d | [Input] YY y strip 2d matrix component for processing operation |
| CInKnlYYZStrip3d | [Input] YY z strip 3d matrix component for processing operation |
| CInKnlYZZStrip3d | [Input] YZ z strip 3d matrix component for processing operation |
| CInKnlZStrip3d | [Input] image z strip 3d attribute associated to a kernel |
| CInKnlZZZStrip3d | [Input] ZZ z strip 3d matrix component for processing operation |
| CInLabClassImg | [Input] Image containing labels or class indices |
| CInLabelActivationTable | [Input] Label activation table allowing to active labels for drawing |
| CInLabelConnectionTable | [Input] Label connections (equivalences) table |
| CInLabelImg | [Input] label image for processing operation |
| CInLabelImg3d | [Input] label image 3d for processing operation |
| CInLabelKnlZStrip3d | [Input] label z strip 3d for processing operation associated to a kernel |
| CInLabelReindexingPolicy | [Input] used label reindexing policy |
| CInLabelsShape2d | [Input] Collection of shape 2d associated to labels |
| CInLabelsShape3d | [Input] Collection of shape 3d associated to labels |
| CInLabelValue | [Input] Label value in an image |
| CInLabelYStrip2d | [Input] label y strip 2d for processing operation |
| CInLabelYStrip2d1 | [Input] first label y strip 2d for processing operation |
| CInLabelYStrip2d2 | [Input] second label y strip 2d for processing operation |
| CInLabelZStrip3d | [Input] label z strip 3d for processing operation |
| CInLabelZStrip3d1 | [Input] first label z strip 3d for processing operation |
| CInLabelZStrip3d2 | [Input] second label z strip 3d for processing operation |
| CInLabMarkImg | [Input] label marker image for processing operation |
| CInLabMarkImg3d | [Input] label marker image 3d for processing operation |
| CInLightnessType | [Input] Type of conversion to obtain a grey level image from a color image |
| CInLocalExtremaConfig | [Input] Attribute for local extrema calculation configuration |
| CInLocalExtremumType | [Input] local extremum type |
| CInMaskImg | [Input] Binary image for masking operation |
| CInMaskMode | [Input] Inform about the use of a binary mask |
| CInMaskYStrip2d | [Input] binary y strip 2d for masking operation |
| CInMaskZStrip3d | [Input] binary y strip 3d for masking operation |
| CInMatchStatsCriterion | [Input] criterion used to adjust image dynamic |
| CInMaxAngleWithGradDir | [Input] maximum angle with gradient direction, in degrees |
| CInMaxDistance | [Input] Maximum distance authorized for the propagation |
| CInMaxHalfKnlSize | [Input] Maximum half kernel size for processing operation |
| CInMaxTranslation | [Input] Maximum translation allowed in a geometric transform (in absolute value) |
| CInMeasureInfoSet2d | [Input] shape analysis 2d measure information set |
| CInMeasureInfoSet3d | [Input] shape analysis 3d measure information set |
| CInMeasureSet2d | [Input] shape analysis 2d measure set |
| CInMeasureSet3d | [Input] shape analysis 3d measure set |
| CInMinShapeSize | [Input] size of shape for processing operation |
| CInMVEParams | [Input] Parameters for multiscale vessel enhancement algorithm |
| CInNbAngles | [Input] Number of angles for directional smoothing |
| CInNbCircles | [Input] Specifies the maximum number of circles/spheres detected for each slice, a value of 0 means "keep all the circles/spheres" |
| CInNbClasses | [Input] number of classes |
| CInNbClusters | [Input] Number of clusters |
| CInNbFeatures | [Input] target number of features to be detected by algorithm |
| CInNbIter | [Input] Number of iterations for an iterative algorithm |
| CInNbLabels | [Input] number of labels for processing operation |
| CInNbMaxPtsPerCircle | [Input] maximum number of points per circle |
| CInNbMinDataByThread | [Input] minimum number of data by thread |
| CInNbMinPointForPolygApprox | [Input] Minimum number of points needed to trigger polygon approximation |
| CInNbSamples | [Input] number of samples for processing operation |
| CInNbTimeSteps | [Input] number for time steps for anisotropic diffusion |
| CInNeighborhood2d | [Input] neighborhood 2d type for operation |
| CInNeighborhood3d | [Input] neighborhood 3d type for operation |
| CInNormalize | [Input] flag indicating whether convolution operation should be normalized (result divide by sum of abssolute values of kernel coefficients) |
| CInNormProjFactor | [Input] factor used for projection normalization |
| CInNormProjYStrip2d | [Input] norm component of image 2d matrix projection |
| CInOffset | [Input] Offset. Used for instance by shading correction algorithm |
| CInOffset1 | [Input] First offset to apply |
| CInOffset2 | [Input] Second offset to apply |
| CInOptAccumIntensityThreshold | [Input Optional] threshold on accumulation intensities for local maxima extraction |
| CInOptAnisotropicGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| CInOptBinImg1 | [Input Optional] first binary image for operation |
| CInOptBinImg2 | [Input Optional] second binary image for operation |
| CInOptBinImg3 | [Input Optional] third binary image for operation |
| CInOptBinImg3d1 | [Input Optional] first binary image 3d for operation |
| CInOptBinImg3d2 | [Input Optional] second binary image 3d for operation |
| CInOptBinImg3d3 | [Input Optional] third binary image 3d for operation |
| CInOptBlackImg | [Input Optional] Black image, usually obtained by closing all optical ports of the camera, or by turning off all the light sources. Used by shading correction algorithm |
| CInOptBlackYStrip2d | [Input Optional] Y strip 2d associated to black image. Used for instance by shading correction algorithm |
| CInOptBlendMultiplier | [Input Optional] Multiplier value used for image blending operation |
| CInOptBorderExtensionPolicy | [Input Optional] flag indicating border extension policy for processing |
| CInOptCircleIntensityType | [Input Optional] circle intensity type for detection algorithms |
| CInOptClustersCentersShiftTolerance | [Input Optional] Tolerance on clusters centers shift between 2 iterations of k-means algorithm |
| CInOptComputeOutImg | [Input Optional] Flag indicating if the optional output image has to be computed |
| CInOptContourExtractionSettings | [Input Optional] Settings used for contours extraction |
| CInOptContrastRadius | [Input Optional] contrast radius for Z focus |
| CInOptContrastSize | [Input Optional] contrast size for Z focus |
| CInOptConvolBorder2d | [Input Optional] Border preparation policy for 2d convolution algorithm |
| CInOptConvolBorder3d | [Input Optional] Border preparation policy for 3d convolution algorithm |
| CInOptCornerDetectionParams2d | [Input Optional] parameters used during corner detection process |
| CInOptCornerDetectionParams3d | [Input Optional] parameters used during corner detection process |
| CInOptCorrelationThreshold2d | [Input Optional] threshold on 2d correlation scores used during pairs matching |
| CInOptCorrelationThreshold3d | [Input Optional] threshold on 3d correlation scores used during pairs matching |
| CInOptCyclicRgbColorMap | [Input Optional] Cyclic RGB color map |
| CInOptCylinderUnrollingIntegrationParams | [Input Optional] integration parameters for cylinder unrolling process |
| CInOptDepthMap | [Input Optional] bool value for depth map in z focus |
| CInOptDFTConfig | [Input Optional] configuration for Discrete Fourier Transform algorithm |
| CInOptDilateLabelMode | [Input Optional] Output mode of DilateLabel algorithms |
| CInOptDirSmoothFactor | [Input Optional] Directional smoothing amplitude factor |
| CInOptEpsilon | [Input Optional] Epsilon value, used to consider lower values as zero |
| CInOptEraseValue | [Input optional] value used for image erasing operation |
| CInOptFeaturesDistX | [Input Optional] distance between detected features along x axis (tchebychev distance) |
| CInOptFeaturesDistY | [Input Optional] distance between detected features along y axis (tchebychev distance) |
| CInOptFeaturesDistZ | [Input Optional] distance between detected features along z axis (tchebychev distance) |
| CInOptGaborParams | [Input Optional] Parameters to generate a Gabor signal |
| CInOptGradientGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| CInOptGradStdDev | [Input Optional] standard deviation used for gradient computation |
| CInOptGreatestMin | [Input Optional] greatest allowed value for local minima |
| CInOptGreyImg2d | [Input Optional] grey-levels 2d image |
| CInOptGreyImg3d | [Input Optional] grey-levels 3d image |
| CInOptGxGreyImg2d | [Input Optional] grey-levels 2d image of gradient computed along x-axis |
| CInOptGxGreyImg3d | [Input Optional] grey-levels 3d image of gradient computed along x-axis |
| CInOptGyGreyImg2d | [Input Optional] grey-levels 2d image of gradient computed along y-axis |
| CInOptGyGreyImg3d | [Input Optional] grey-levels 3d image of gradient computed along y-axis |
| CInOptGzGreyImg3d | [Input Optional] grey-levels 3d image of gradient computed along z-axis |
| CInOptHalfKnlSize | [Input Optional] half kernel size (square or cubic kernel) |
| CInOptHessianGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| CInOptHistoMsrParams | [Input Optional] histogram measure parameters |
| CInOptHoughCircles2dAlgoMethod | [Input Optional] Hough circles 2d detector method |
| CInOptHoughCirclesRadiusRange | [Input Optional] range of radius of circles to detect using Hough circles algorithm |
| CInOptHoughLinesExtractionParams | [Input Optional] Parameters used for step of extraction of lines in Hough lines algorithm |
| CInOptHoughLinesGradientImgParams | [Input Optional] Parameters for Hough lines detection algorithm using 2 input gradient images |
| CInOptHoughLinesImgParams | [Input Optional] Parameters for Hough lines detection algorithm |
| CInOptHoughLinesOrientationTolerance | [Input Optional] Tolerance for orientation around estimated gradient direction |
| CInOptImageValueExtractionMethod | [Input Optional] object allowing to define used image values extraction method |
| CInOptImg1 | [Input Optional] first input image for operation |
| CInOptImg2 | [Input Optional] second input image for operation |
| CInOptImg3 | [Input Optional] third input image for operation |
| CInOptImg3d1 | [Input Optional] first input image 3d for operation |
| CInOptImg3d2 | [Input Optional] second input image 3d for operation |
| CInOptImg3d3 | [Input Optional] third input image 3d for operation |
| CInOptImgComparisonTolerance | [Input Optional] tolerance used in images comparison algorithm |
| CInOptInNbClasses | [Input Optional] number of classes |
| CInOptInputRange | [Input Optional] image intensity range for algorithm |
| CInOptInterpolationPolicy | [Input Optional] interpolation policy used to extract local data from image |
| CInOptKDEBandwidthPolicy | [Input Optional] policy used to compute smoothing bandwidth parameter during a kernel density estimation |
| CInOptKDENbSamples | [Input Optional] number of sample for kernel density estimation |
| CInOptKernelKMeansParams | [Input Optional] parameters for kernel kmeans clustering algorithm |
| CInOptKnlBinYStrip2d1 | [Input Optional] first input binary y strip 2d for operation |
| CInOptKnlBinYStrip2d2 | [Input Optional] second input binary y strip 2d for operation |
| CInOptKnlBinYStrip2d3 | [Input Optional] third input binary y strip 2d for operation |
| CInOptKnlBinZStrip3d1 | [Input Optional] first input binary z strip 3d for operation |
| CInOptKnlBinZStrip3d2 | [Input Optional] second input binary z strip 3d for operation |
| CInOptKnlBinZStrip3d3 | [Input Optional] third input binary z strip 3d for operation |
| CInOptKnlLabYStrip2d1 | [Input Optional] first input label y strip 2d for operation |
| CInOptKnlLabYStrip2d2 | [Input Optional] second input label y strip 2d for operation |
| CInOptKnlLabYStrip2d3 | [Input Optional] third input label y strip 2d for operation |
| CInOptKnlLabZStrip3d1 | [Input Optional] first input label z strip 3d for operation |
| CInOptKnlLabZStrip3d2 | [Input Optional] second input label z strip 3d for operation |
| CInOptKnlLabZStrip3d3 | [Input Optional] third input label z strip 3d for operation |
| CInOptKnlMaskYStrip2d | [Input Optional] Binary Mask with kernel for 2d Y strip |
| CInOptKnlMaskZStrip3d | [Input Optional] Binary Mask with kernel for 3d Z strip |
| CInOptKnlYStrip2d1 | [Input Optional] first input y strip 2d for operation |
| CInOptKnlYStrip2d2 | [Input Optional] second input y strip 2d for operation |
| CInOptKnlYStrip2d3 | [Input Optional] third input y strip 2d for operation |
| CInOptKnlZStrip3d1 | [Input Optional] first input z strip 3d for operation |
| CInOptKnlZStrip3d2 | [Input Optional] second input z strip 3d for operation |
| CInOptKnlZStrip3d3 | [Input Optional] third input z strip 3d for operation |
| CInOptLabelReindexingPolicy | [Input Optional] used label reindexing policy |
| CInOptLabImg1 | [Input Optional] first label image for operation |
| CInOptLabImg2 | [Input Optional] second label image for operation |
| CInOptLabImg3 | [Input Optional] third label image for operation |
| CInOptLabImg3d1 | [Input Optional] first label image 3d for operation |
| CInOptLabImg3d2 | [Input Optional] second label image 3d for operation |
| CInOptLabImg3d3 | [Input Optional] third label image 3d for operation |
| CInOptLawTexPostProcParams | [Input Optional] Parameters for Law's texture filter input image post-process phasis |
| CInOptLawTexPreProcParams | [Input Optional] Parameters for Law's texture filter input image pre-process phasis |
| CInOptLawTextureKernel2dTypes | [Input Optional] Types of 2d kernels for Law's texture computation |
| CInOptLawTextureKernel3dTypes | [Input Optional] Types of 3d kernels for Law's texture computation |
| CInOptLocalExtremaConfig | [Input Optional] Attribute for local extrema calculation configuration |
| CInOptLowestMax | [Input Optional] lowest allowed value for local maxima |
| CInOptMaskImg | [Input Optional] Binary image for masking operation |
| CInOptMaskMode | [Input Optional] Inform about the use of a binary mask |
| CInOptMaskSeqYStrip2d | [Input Optional] Mask sequence y strip 2d for processing operation |
| CInOptMaskSubImg2d | [Input Optional] binary 2d single sub image for mask operation |
| CInOptMaskSubImg3d | [Input Optional] binary 3d single sub image for mask operation |
| CInOptMaskYStrip2d | [Input Optional] binary y strip 2d for masking operation |
| CInOptMaskZStrip3d | [Input Optional] binary z strip 3d for masking operation |
| CInOptMaxAbsDiffValue | [Input optional] maximal absolute value authorized between 2 images |
| CInOptMaxAngleWithGradDir | [Input Optional] maximum angle with gradient direction, in radians |
| CInOptMaxDistance | [Input Optional] Maximum distance authorized for the propagation (a value of 0 means no distance restriction) |
| CInOptMaxHalfKnlSize | [Input Optional] Maximum half kernel size for processing operation |
| CInOptMaxTranslation | [Input Optional] Maximum translation allowed in a geometric transform (in absolute value) |
| CInOptMeanSmoothingValue | [Input Optional] mean smoothing value for Z focus |
| CInOptMeasureInfoSet2d | [Input Optional] shape analysis 2d measure information set |
| CInOptMeasureInfoSet3d | [Input Optional] shape analysis 3d measure information set |
| CInOptMemoryRatio | [Input Optional] memory ratio for random forest |
| CInOptNbAngles2d | [Input Optional] Number of angles for directional smoothing |
| CInOptNbAngles3d | [Input Optional] Number of angles for directional smoothing |
| CInOptNbAttempts | [Input Optional] Number of times k-means is executed using different initial clusters centers |
| CInOptNbCircles | [Input Optional] Specifies the maximum number of circles/spheres detected for each slice, a value of 0 means "keep all the circles/spheres" |
| CInOptNbClasses | [Input Optional] number of classes |
| CInOptNbClusters | [Input Optional] Number of clusters |
| CInOptNbFeatures | [Input Optional] target number of features to be detected by algorithm |
| CInOptNbIterByStage | [Input Optional] number of processing iteration by stage |
| CInOptNbMaxIter | [Input Optional] Maximum number of iterations (ignored if equals to 0) |
| CInOptNbMaxPtsPerCircle | [Input Optional] maximum number of points per circle |
| CInOptNbMinDataByThread | [Input Optional] minimum number of data by thread |
| CInOptNbMinPointForPolygApprox | [Input Optional] Minimum number of points needed to trigger polygon approximation |
| CInOptNeighborhood2d | [Input optional] neighborhood 2d type for operation |
| CInOptNeighborhood3d | [Input optional] neighborhood 3d type for operation |
| CInOptNormalizeSobelKernel | [Input Optional] boolean flag indicating whether kernel use for Sobel gradient filtering has to be normalized or not |
| CInOptOffset | [Input Optional] Offset. Used for instance by shading correction algorithm |
| CInOptOptimizationPolicy | [Input Optional] processing optimization policy for algorithm |
| CInOptOutputImg2dSize | [Input Optional] expected output image 2d size |
| CInOptOutputImg3dSize | [Input Optional] expected output image 7d size |
| CInOptOutputImg3dZSize | [Input Optional] z-size of 3d output image |
| CInOptOutputRange | [Input Optional] expected output image range |
| CInOptOutSizeX | [Input Optional] size of output image along x-axis |
| CInOptPatchBasedBilateralParams | [Input Optional] parameters of patch-based bilateral filter |
| CInOptPCAReductionParams | [Input Optional] Parameters for sequence image dimensionality reduction using a PCA |
| CInOptPhi | [Input Optional] starting azimuth angle offset value |
| CInOptPICyclicRgbColorMap | [In Optional] Plan indexed collection of cyclic RGB color maps |
| CInOptPIHistogram | [Input Optional] Plan indexed collection of histogram properties |
| CInOptPIHistoMsrParams | [Input] Plan indexed collection of histogram measure parameters |
| CInOptPIPatchBasedBilateralParams | [In Optional] Plan indexed collection of parameters for patch-based bilateral filter |
| CInOptPIRefHistogram | [Input] Plan indexed collection of reference histograms |
| CInOptPISmoothRgbColorMap | [In Optional] Plan indexed collection of smooth RGB color maps |
| CInOptPIWarpMotionTransform2dColl | [Input Optional] plan indexed collection of 2d geometric transform |
| CInOptPixelXSize | [Input Optional] Pixel size along the x axis |
| CInOptPixelYSize | [Input Optional] Pixel size along the y axis |
| CInOptPixelZSize | [Input Optional] Pixel size along the z axis |
| CInOptPolygApproxMaxDist | [Input Optional] Maximum distance for polygonal approximation (a null value stands for no approximation) |
| CInOptPreviousBinYStrip2d | [Input Optional] binary y strips 2d just before first currently processed element |
| CInOptPreviousBinZStrip3d | [Input Optional] binary z strips 3d just before first currently processed element |
| CInOptPreviousYStrip2d | [Input Optional] y strips 2d just before first currently processed element |
| CInOptPreviousZStrip3d | [Input Optional] z strips 3d just before first currently processed element |
| CInOptProbabilities | [Input Optional] bool value for probabilities in pixel classfication algorithm |
| CInOptRandomMaxValue | [Input optional] maximum value used for random operation |
| CInOptRandomMinValue | [Input optional] minimum value used for random operation |
| CInOptRangePhi | [Input Optional] Orientation range in degrees |
| CInOptRangeTheta | [Input Optional] Orientation range in degrees |
| CInOptRealSeqImg | [InOut Optional] Real sequence image |
| CInOptRefHistogram | [Input Optional] reference histogram |
| CInOptRefImg | [Input Optional] reference image |
| CInOptRefStatsIndicators | [Input Optional] statistical indicators of reference |
| CInOptRegistrationEstimationConfig | [Input Optional] configuration for robust estimation part of features registration |
| CInOptRegistrationTracking2dGrid | [Input Optional] tracking grid used during tracking 2d process |
| CInOptRegistrationTraining2dConfig | [Input Optional] configuration for registration training phasis |
| CInOptRegMotionModel2d | [Input Optional] 2d motion model which should be used for computation |
| CInOptRegMotionModel3d | [Input Optional] 3d motion model which should be used for computation |
| CInOptRemoveTooCloseCirclesParams | [Input Optional] parameters of "removing too close circles" phasis in Hough circles detection |
| CInOptSamplingBallInfo2d | [Input Optional] Parameters for used sampling ball around image points |
| CInOptSamplingBallInfo3d | [Input Optional] Parameters for used sampling ball around image points |
| CInOptSaturateOutput | [Input Optional] Flag indicating if the ouput must be normalized |
| CInOptScaleCandidates | [Input Optional] scale candidates for processing |
| CInOptScaleFactor2d | [Input Optional] 2d scale factor |
| CInOptScaleFactor3d | [Input Optional] 3d scale factor |
| CInOptSignatureScaleFactor | [Input Optional] image scale factor used during signature computation |
| CInOptSingleGreyMaskImg | [Input Optional] Binary image for masking operation for each (x, y, z) coordinate regardless to (c, t) coordinates |
| CInOptSingleGreyMaskSubImg2d | [Input Optional] binary 2d single sub image for mask operation for each (x, y, z) coordinate regardless to (c, t) coordinates |
| CInOptSingleGreyMaskYStrip2d | [Input Optional] Mask y strip 2d for processing operation |
| CInOptSizeRatio | [Input Optional] Ratio to compare a size with a reference |
| CInOptSkeletonAlgoType | [Input Optional] Determine the skeleton calculation method |
| CInOptSmoothingGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| CInOptSmoothRgbColorMap | [Input Optional] Smooth RGB color map |
| CInOptSobelKernelType | [Input Optional] kernel type for Sobel gradient filter |
| CInOptSpatialStep | [Input Optional] Spatial step used for smoothing along processed directions |
| CInOptSplitValue | [Input Optional] value used to split data during processing |
| CInOptStdDevFactor | [Input Optional] factor applied on standard deviation for laplacian difference of gaussian computation |
| CInOptStdDevGrad | [Input Optional] standard deviation used for gaussian gradient computation |
| CInOptStdDevMat | [Input Optional] standard deviation used for matrix gaussian smoothing |
| CInOptSubBinImg2d1 | [Input Optional] first binary level 2d sub image for operation |
| CInOptSubBinImg2d2 | [Input Optional] second binary level 2d sub image for operation |
| CInOptSubBinImg2d3 | [Input Optional] third binary level 2d sub image for operation |
| CInOptSubBinImg3d1 | [Input Optional] first binary level 3d sub image for operation |
| CInOptSubBinImg3d2 | [Input Optional] second binary level 3d sub image for operation |
| CInOptSubBinImg3d3 | [Input Optional] third binary level 3d sub image for operation |
| CInOptSubImg2d1 | [Input Optional] first grey level 2d sub image for operation |
| CInOptSubImg2d2 | [Input Optional] second grey level 2d sub image for operation |
| CInOptSubImg2d3 | [Input Optional] third grey level 2d sub image for operation |
| CInOptSubImg3d1 | [Input Optional] first grey level 3d sub image for operation |
| CInOptSubImg3d2 | [Input Optional] second grey level 3d sub image for operation |
| CInOptSubImg3d3 | [Input Optional] third grey level 3d sub image for operation |
| CInOptSubLabImg2d1 | [Input Optional] first label level 2d sub image for operation |
| CInOptSubLabImg2d2 | [Input Optional] second label level 2d sub image for operation |
| CInOptSubLabImg2d3 | [Input Optional] third label level 2d sub image for operation |
| CInOptSubLabImg3d1 | [Input Optional] first label level 3d sub image for operation |
| CInOptSubLabImg3d2 | [Input Optional] second label level 3d sub image for operation |
| CInOptSubLabImg3d3 | [Input Optional] third label level 3d sub image for operation |
| CInOptSuperPixelsType | [Input Optional] Type of input parameter for super pixels algorithm (number of super pixels or size) |
| CInOptSurfaceExtractionSettings | [Input Optional] Settings used for surfaces extraction |
| CInOptTargetTile2dSideLength | [Input Optional] target processing size for tile 2d (side length) |
| CInOptTargetTile3dSideLength | [Input Optional] target processing size for tile 3d (side length) |
| CInOptTheta | [Input Optional] 2d orientation for processing operation |
| CInOptTheta0 | [Input Optional] starting angle offset value, in radians |
| CInOptWarpMotionTransform2dColl | [Input Optional] collection of 2d geometric transform |
| CInOptWatershedProcMode | [Input Optional] Watershed processing mode |
| CInOptWeight | [Input Optional] Weighting coefficient |
| CInOptZoomFactor | [Input Optional] z-size of 3d output image |
| CInOptZScaleFactor | [Input Optional] z-size of 3d output image |
| CInOriginImg2d | [Input] Origin 2d image provided to registration algorithm |
| CInOriginImg3d | [Input] Origin 3d image provided to registration algorithm |
| CInOutBinYStrip2d | [InOut] binary y strip 2d for operation |
| CInOutBinZStrip3d | [InOut] binary z strip 3d for operation |
| CInOutClustersCenters | [InOut] Centers of clusters |
| CInOutCoords2dColl | [Input] collection of cartesian 2d coordinates |
| CInOutCoords3dColl | [Input] collection of cartesian 3d coordinates |
| CInOutDFTXStrip2d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTXStrip2d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTYStrip2d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTYStrip2d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTYStrip3d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTYStrip3d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTZStrip3d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInOutDFTZStrip3d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInOutDistXStrip2d | [InOut] distance map x strip 2d for operation |
| CInOutDistYStrip2d | [InOut] distance map y strip 2d for operation |
| CInOutDistYStrip3d | [InOut] distance map y strip 3d for operation |
| CInOutDistZStrip3d | [InOut] distance map z strip 3d for operation |
| CInOutEigen2dDataColl | [InOut] collection of eigen decomposition 2d data |
| CInOutEigen3dDataColl | [InOut] collection of eigen decomposition 3d data |
| CInOutGreySignatures2d | [InOut] collection of features 2d grey signature used during processing |
| CInOutGreySignatures3d | [InOut] collection of features 3d grey signature used during processing |
| CInOutHistogram | [InOut] Contains the histogram information used for histogram calculation |
| CInOutImg | [InOut] image for processing operation |
| CInOutIntYStrip2d | [InOut] integer y strip 2d for operation |
| CInOutIntZStrip3d | [InOut] integer z strip 3d for operation |
| CInOutLabelsShape2d | [InOut] Collection of shape 2d associated to labels |
| CInOutLabelsShape3d | [InOut] Collection of shape 3d associated to labels |
| CInOutMeasureSet2d | [InOut] shape analysis 2d measure set |
| CInOutMeasureSet3d | [InOut] shape analysis 3d measure set |
| CInOutOptAllow8bitsCompression | [InOut Optional] boolean determining whether 8 bits compression on output image is allowed to make median computation faster |
| CInOutOptClassYStrip2d | [InOut Optional] class y strip 2d |
| CInOutOptClassZStrip3d | [InOut Optional] class z strip 3d |
| CInOutOptClustersCenters | [InOut Optional] Centers of clusters |
| CInOutOptClustersPptiesColl | [InOut Optional] Collection of clusters properties |
| CInOutOptHistogram | [InOut Optional] histogram properties |
| CInOutOptSubGpuImg | [InOut Optional] Input and output optional sub image stored on GPU |
| CInOutOptWk1RealImg | [InOut Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| CInOutPILabelsShape2d | [InOut] Plan indexed collection of shape 2d associated to labels |
| CInOutPILabelsShape3d | [InOut] Plan indexed collection of shape 3d associated to labels |
| CInOutPixels2d | [InOut] positions and intensities of 2d pixels |
| CInOutputImg2dSize | [Input] output image 2d size |
| CInOutputImg3dSize | [Input] output image 3d size |
| CInOutputImg3dZSize | [Input] z-size of 3d output image |
| CInOutputRange | [Input] output image intensity range for algorithm |
| CInOutRealXStrip2d1 | [InOut] x strip with real data for operation |
| CInOutRealXStrip2d10 | [InOut] Tenth x strip with real data for operation |
| CInOutRealXStrip2d2 | [InOut] x strip with real data for operation |
| CInOutRealXStrip2d3 | [InOut] x strip with real data for operation |
| CInOutRealXStrip2d4 | [InOut] Fourth x strip with real data for operation |
| CInOutRealXStrip2d5 | [InOut] Fifth x strip with real data for operation |
| CInOutRealXStrip2d6 | [InOut] Sixth x strip with real data for operation |
| CInOutRealXStrip2d7 | [InOut] Seventh x strip with real data for operation |
| CInOutRealXStrip2d8 | [InOut] Eighth x strip with real data for operation |
| CInOutRealXStrip2d9 | [InOut] Ninth x strip with real data for operation |
| CInOutRealYStrip2d | [InOut] real y strip 2d for operation |
| CInOutRealYStrip2d1 | [InOut] First real y strip 2d |
| CInOutRealYStrip2d2 | [InOut] Second real y strip 2d |
| CInOutRealYStrip2d3 | [InOut] Third real y strip 2d |
| CInOutRealYStrip2d4 | [InOut] Fourth real y strip 2d |
| CInOutRealYStrip2d5 | [InOut] Fifth real y strip 2d |
| CInOutRealYStrip2d6 | [InOut] Sixth real y strip 2d |
| CInOutRealYStrip2d7 | [InOut] Seventh real y strip 2d |
| CInOutRealYStrip2d8 | [InOut] Eightht real y strip 2d |
| CInOutRealYStripSeq2d | [InOut] Real sequence image |
| CInOutRealZStrip3d | [InOut] real z strip 3d for operation |
| CInOutRegistrationTracking2dData | [InOut] data used during registration 2d tracking |
| CInOutSubBinImg2d | [InOut] [InOut] binary 2d sub image for operation |
| CInOutSubBinImg3d | [InOut] binary 3d sub image for operation |
| CInOutSubDFTImg2d1 | [InOut] first 2d single sub image for Discreet Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInOutSubDFTImg2d2 | [InOut] second 2d single sub image for Discreet Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInOutSubDFTImg3d1 | [InOut] first 3d single sub image for Discreet Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| CInOutSubDFTImg3d2 | [InOut] second 3d single sub image for Discreet Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| CInOutSubDistImg3d | [InOut] distance map sub image 3d |
| CInOutSubGenericMeasureSet2d | [Output] shape analysis measure set |
| CInOutSubGenericMeasureSet3d | [Output] shape analysis measure set |
| CInOutSubGeometry2dMeasureSet2d | [Output] shape analysis measure set |
| CInOutSubGeometry3dMeasureSet3d | [Output] shape analysis measure set |
| CInOutSubGpuImg | [InOut] Input and output sub image stored on GPU |
| CInOutSubImg2d | [InOut] grey level 2d sub image for operation |
| CInOutSubImg3d | [InOut] grey level 3d sub image for operation |
| CInOutSubIndivisibleMeasureSet2d | [Output] shape analysis measure set |
| CInOutSubIndivisibleMeasureSet3d | [Output] shape analysis measure set |
| CInOutSubIntensityMeasureSet2d | [Output] shape analysis measure set |
| CInOutSubIntensityMeasureSet3d | [Output] shape analysis measure set |
| CInOutSubRealImg2d | [InOut] grey level 2d single sub image for operation containing real values (used for instance in the KMeansPPClusterInit algorithm) |
| CInOutSubRealImg2d1 | [InOut] grey level 2d single sub image for operation containing real values |
| CInOutSubRealImg2d2 | [InOut] grey level 2d single sub image for operation containing real values |
| CInOutSubRealImg2d3 | [InOut] grey level 2d single sub image for operation containing real values |
| CInOutSubRealImg2d4 | [InOut] grey level 2d single sub image for operation containing real values |
| CInOutSubSeqImg2d1 | [InOut] first sequence image 2d for processing operation |
| CInOutSubSeqImg2d2 | [InOut] second sequence image 2d for processing operation |
| CInOutSubSeqImg2d3 | [InOut] third sequence image 2d for processing operation |
| CInOutTile2dColl | [InOut] tile 2d collection for operation |
| CInOutTile3dColl | [InOut] tile 3d collection for operation |
| CInOutVoxels3d | [InOut] positions and intensities of 3d voxels |
| CInOutXStrip2d | [InOut] x strip for operation |
| CInOutYStrip2d | [InOut] y strip 2d for operation |
| CInOutYStrip3d | [InOut] y strip 3d for operation |
| CInOutZStrip3d | [InOut] z strip 3d for operation |
| CInParaboloidParams3d | [Input] Parameters defining a 3d paraboloid |
| CInPatchBasedBilateralParams | [Input] parameters of patch-based bilateral filter |
| CInPCAEigenVectors | [Input] Eigen vectors of matrix computed for PCA |
| CInPhi | [Input] starting azimuth angle offset value |
| CInPICoords2dColl | [Input] plan indexed collection of cartesian 2d coordinates |
| CInPICoords3dColl | [Input] plan indexed collection of cartesian 3d coordinates |
| CInPIHoughSpheres3dPpties | [Input] plan indexed collection of properties of circles detected by Hough algorithm |
| CInPIIntensityLUT | [Input] Plan indexed collection of intensity look-up tables |
| CInPILabelsShape2d | [Input] Plan indexed collection of shape 2d associated to labels |
| CInPILabelsShape3d | [Input] Plan indexed collection of shape 3d associated to labels |
| CInPIOutputRange | [Input] Plan indexed collection of output ranges |
| CInPIParaboloidParams3d | [Input] Plan indexed collection of 3d parameters of paraboloids |
| CInPixels2d | [Input] Positions and intensities of 2d pixels |
| CInPixelsColor | [Input] Collection of pixels with color intensities |
| CInPolygApproxMaxDist | [Input] aximum distance for polygonal approximation (a null value stands for no approximation) |
| CInProjStatType | [Input] Predefined types for a statistical projection algorithm |
| CInPropagationAxis | [Input] input axis propagation for the algorithm |
| CInPropagationDirection | [Input] Direction propagation for the algorithm |
| CInRadius | [Input] Radius |
| CInRandomAlgoType | [Input] Informs if the algorithm uses a random approach or not (used for instance in the KMeansPPClusterInit algorithm) |
| CInRandomForestModel | [Input] Complete model of the random forest |
| CInRangePhi | [Input] Orientation range in degrees |
| CInRangeSigma | [Input] sigma for range gaussian function |
| CInRangeTheta | [Input] Orientation range in degrees |
| CInRealImg | [Input] image for processing operation (data contained in image buffer are reals) |
| CInRealXStrip2d1 | [Input] First x strip with real data for operation |
| CInRealXStrip2d2 | [Input] Second x strip with real data for operation |
| CInRealXStrip2d3 | [Input] Third x strip with real data for operation |
| CInRealXStrip2d4 | [Input] Fourth x strip with real data for operation |
| CInRealXStrip2d5 | [Input] Fifth x strip with real data for operation |
| CInRealYStrip2d | [Input] real y strip 2d for operation |
| CInRealYStrip2d1 | [Input] real y strip 2d for operation |
| CInRealYStrip2d2 | [Input] real y strip 2d for operation |
| CInRealYStrip2d3 | [Input] real y strip 2d for operation |
| CInRealYStrip2d4 | [Input] real y strip 2d for operation |
| CInRealYStrip2d5 | [Input] real y strip 2d for operation |
| CInRealYStrip2d6 | [Input] real y strip 2d for operation |
| CInRealYStrip2d7 | [Input] real y strip 2d for operation |
| CInRealYStrip2d8 | [Input] real y strip 2d for operation |
| CInRealYStrip2d9 | [Input] real y strip 2d for operation |
| CInRegistrationTraining2dData | [Input] data associated to training phasis of intensity based 2d registration algorithm |
| CInRegMotionModel2d | [Input] 2d motion model which should be used for computation |
| CInRegMotionModel3d | [Input] 3d motion model which should be used for computation |
| CInRemoveSkeletonsWithoutHoles | [Input] If the attribute equals true, the skeletons corresponding to objects without holes are completely removed. If the value is false, a single pixel remains for these objects |
| CInRemoveTooCloseCirclesParams | [Input] parameters of "removing too close circles" phasis in Hough circles detection |
| CInRgbImg | [Input] RGB color image for processing operation |
| CInRgbYStrip2d | [Input] Rgb color y strip 2d for processing operation |
| CInRgbZStrip3d | [Input] Rgb color z strip 3d for processing operation |
| CInRhoImg | [Input] rho component of polar coordinates |
| CInRhoYStrip2d | [Input] rho component of polar coordinates |
| CInRingHalfThickness | [Input] half thickness for ring used during processing |
| CInROIImg | [Input] ROI image for processing operation |
| CInROIImg3d | [Input] 3d ROI image for operation |
| CInSamplingBallInfo | [Input] Parameters for used sampling ball around image points |
| CInSamplingRingInfo | [Input] Parameters for used sampling ring around image points |
| CInScaleCandidates | [Input] scale candidates for processing |
| CInScaleFactor | [Input] scale factor |
| CInScaleFactor2d | [Input] 2d scale factor |
| CInScaleFactor3d | [Input] 3d scale factor |
| CInSecondLabelOffset | [Input] second label offset used for fusion operation |
| CInSeqImg | [Input] sequence image for processing operation |
| CInSeqImg1 | [Input] First input image sequence |
| CInSeqImg2 | [Input] Second input sequence image |
| CInSeqYStrip2d | [Input] Sequence y strip 2d for processing operation |
| CInSeqYStrip2d1 | [Input] First sequence y strip 2d for processing operation |
| CInSeqYStrip2d2 | [Input] Second sequence y strip 2d for processing operation |
| CInSEXY | [Input] structuring element xy for processing operation |
| CInSEXY1 | [Input] first structuring element xy for processing operation |
| CInSEXY2 | [Input] second structuring element xy for processing operation |
| CInSEXYZ | [Input] structuring element xyz for processing operation |
| CInSEXYZ1 | [Input] first structuring element xyz for processing operation |
| CInSEXYZ2 | [Input] second structuring element xyz for processing operation |
| CInShapeGreyscaleType | [Input] shape greyscale type considered during processing |
| CInSharpness | [Input] Sharpness factor used by processing operation |
| CInSigmoidAlpha | [Input] alpha parameter of image sigmoid normalization algorithm |
| CInSigmoidBeta | [Input] beta parameter of image sigmoid normalization algorithm |
| CInSignatureScaleFactor | [Input] image scale factor used during signature computation |
| CInSingleGreyComplexImImg2d | [Input] imaginary part of a complex single grey-levels 2d image |
| CInSingleGreyComplexRealImg2d | [Input] real part of a complex single grey-levels 2d image |
| CInSingleGreyImg2d | [Input] single grey-levels 2d image |
| CInSingleImg | [Input] single image |
| CInSingleImg1 | [Input] First single image |
| CInSingleImg2 | [Input] Second single image |
| CInSingleImg3d | [Input] single 3d image |
| CInSizeSuperPixels | [Input] Real size of super pixels |
| CInSliceIndex | [Input] Index of the slice to process |
| CInSmoothingStdDev | [Input] standard deviation used for smoothing operation along all axis |
| CInSpaceSigma | [Input] sigma for spatial gaussian function |
| CInSpatialStep | [Input] Spatial step used for smoothing along processed directions |
| CInSplitValue | [Input] value used to split data during processing |
| CInStatsResult | [Input] Collection of results for image statistics measure operation |
| CInStdDev | [Input] standard deviation used for operation along all axis |
| CInStdDevGrad | [Input] standard deviation used for gaussian gradient computation |
| CInStdDevMat | [Input] standard deviation used for matrix gaussian smoothing |
| CInStdDevX | [Input] standard deviation used for operation along X axis |
| CInStdDevY | [Input] standard deviation used for operation along Z axis |
| CInStdDevZ | [Input] standard deviation used for operation along Z axis |
| CInSubBinImg2d | [Input] binary 2d single sub image for processing operation |
| CInSubBinImg3d | [Input] binary 3d single sub image for processing operation |
| CInSubBinLabImg2d | [Input] binary 2d single sub binary or label image for processing operation |
| CInSubBinLabImg3d | [Input] binary 3d single sub binary or label image for processing operation |
| CInSubBinMarkImg2d | [Input] binary 2d single sub marker image for processing operation |
| CInSubBinSeedImg2d | [Input] Seeded binary sub image |
| CInSubBinSeedImg3d | [Input] 3d seeded binary sub image |
| CInSubClassImg2d | [Input] 2d image of classes |
| CInSubColorImg2d | [Input] color sub image 2d for processing operation |
| CInSubColorImg2d1 | [Input] first color sub image 2d for processing operation |
| CInSubColorImg2d2 | [Input] second color sub image 2d for processing operation |
| CInSubColorImg3d1 | [Input] first color image 3d for processing operation |
| CInSubColorImg3d2 | [Input] second color image 3d for processing operation |
| CInSubColorOrGreyImg2d | [Input] Color or grey image 2d for processing operation |
| CInSubColorOrGreyImg3d | [Input] Color or grey image 3d for processing operation |
| CInSubDxImg | [Input] Displacement map along the x-axis |
| CInSubDyImg | [Input] Displacement map along the y-axis |
| CInSubGpuImg | [Input] Sub-image stored on GPU |
| CInSubGpuImg1 | [Input] First input sub image stored on GPU |
| CInSubGpuImg2 | [Input] Second input sub image stored on GPU |
| CInSubGpuImg3 | [Input] Third input sub image stored on GPU |
| CInSubGpuImg4 | [Input] Fourth input sub image stored on GPU |
| CInSubGpuMaskImg | [Input] Binary image stored on GPU for masking operation |
| CInSubGxImg2d | [Input] grey level 2d sub image of gradient computed along x-axis |
| CInSubGxImg3d | [Input] grey level 3d sub image of gradient computed along x axis |
| CInSubGyImg2d | [Input] grey level 2d sub image of gradient computed along y-axis |
| CInSubGyImg3d | [Input] grey level 3d sub image of gradient computed along y axis |
| CInSubGzImg3d | [Input] grey level 3d sub image of gradient computed along z axis |
| CInSubImg2d | [Input] grey level 2d sub image for operation |
| CInSubImg2d1 | [Input] First grey level 2d sub image for operation |
| CInSubImg2d2 | [Input] Second grey level 2d image for operation |
| CInSubImg2d3 | [Input] Third grey level 2d sub image for operation |
| CInSubImg2d4 | [Input] Fourth grey level 2d sub image for operation |
| CInSubImg3d | [Input] grey level 3d single sub image for operation |
| CInSubImg3d1 | [Input] First grey level 3d single sub image for operation |
| CInSubImg3d2 | [Input] Second grey level 3d single sub image for operation |
| CInSubImg3d3 | [Input] Third grey level 3d single sub image for operation |
| CInSubIntImg2d | [Input] grey level 2d single sub image for operation (data contained in image buffer are integers) |
| CInSubIntImg2d1 | [Input] First grey level 2d single sub image for operation (data contained in image buffer are integers) |
| CInSubIntImg2d2 | [Input] Second grey level 2d single sub image for operation (data contained in image buffer are integers) |
| CInSubIntImg3d | [Input] grey level 3d single sub image for operation (data contained in image buffer are integers) |
| CInSubLabClassImg2d | [Input] 2d image containing labels or class indices |
| CInSubLabClassImg3d | [Input] 3d image containing labels or class indices |
| CInSubLabelImg2d | [Input] Label 2d single sub image for processing operation |
| CInSubLabelImg3d | [Input] Label 3d single sub image for processing operation |
| CInSubLabMarkImg2d | [Input] 2d single sub label marker image for processing operation |
| CInSubLabMarkImg3d | [Input] 3d single sub label marker image for processing operation |
| CInSubMaskImg2d | [Input] Binary 2d single sub image for masking operation |
| CInSubMaskImg3d | [Input] Binary 3d single sub image for masking operation |
| CInSubRealImg2d | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d1 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d2 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d3 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d4 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d5 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d6 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d7 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRealImg2d8 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| CInSubRgbImg2d | [Input] RGB color image 2d for processing operation |
| CInSubRhoImg2d | [Input] grey level 2d sub image for rho component of polar coordinates |
| CInSubROIImg2d | [Input] ROI grey level 2d sub image for operation |
| CInSubROIImg3d | [Input] grey level 3d single sub ROI image for operation |
| CInSubSampleHalfStep | [Input] Sub-sample half step used for the marching cube step of the 3D shape surface extraction |
| CInSubSeqImg2d | [Input] sequence image 2d for processing operation |
| CInSubSeqImg2d1 | [Input] first sequence image 2d for processing operation |
| CInSubSeqImg2d2 | [Input] second sequence image 2d for processing operation |
| CInSubThetaImg2d | [Input] grey level 2d sub image for theta component of polar coordinates |
| CInSubUIntImg2d | [Input] grey level 2d sub image for operation (data contained in image buffer are unsigned integers) |
| CInSubUIntImg3d | [Input] grey level 3d single sub image for operation (data contained in image buffer are unsigned integers) |
| CInSubXImg2d | [Input] grey level 2d sub image for x component of cartesian coordinates |
| CInSubYImg2d | [Input] grey level 2d sub image for y component of cartesian coordinates |
| CInSuperPixelsParamValue | [Input] Value used to initialize super pixels (number or size) |
| CInSurfaceExtractionSettings | [Input] Settings used for surfaces extraction |
| CInTabulatedRangeExponentials | [Input] tabulated range-related exponential factors for bilateral filter |
| CInTabulatedSpaceExponentials | [Input] tabulated space-related exponential factors for bilateral filter |
| CInTargetImg2d | [Input] Target 2d image provided to registration algorithm |
| CInTargetImg3d | [Input] Target 3d image provided to registration algorithm |
| CInTargetTileSideLength | [Input] target processing size for tile (side length) |
| CIntegers64 | Collection of 64-bits integers |
| CIntensityLUT | Image intensities look-up table |
| CInterStripLabelConnections | Inter strip labels connections informations |
| CInTheta | [Input] 2d orientation for processing operation |
| CInTheta0 | [Input] starting angle offset value, in radians |
| CInThetaImg | [Input] theta component of polar coordinates |
| CInThetaYStrip2d | [Input] theta component of polar coordinates |
| CInThresholdMax | [Input] maximum for binary threshold image operation |
| CInThresholdMin | [Input] minimum for binary threshold image operation |
| CInTile2d | [Input] tile 2d for operation |
| CInTile2dColl | [Input] tile 2d collection for operation |
| CInTile3d | [Input] tile 3d for operation |
| CInTile3dColl | [Input] tile 3d collection for operation |
| CInTopHatThreshold | [Input] threshold value used for top hat binarization |
| CInUInt64Value | [Input] Generic integer value |
| CInUpdateCentersFlag | [Input] Flag indicating whether clusters centers have to be updated or not |
| CInWatershedOutputMode | [Input] parameter allowing to define watershed output mode |
| CInWatershedProcMode | [Input] Watershed processing mode |
| CInWatershedSeparationMode | [Input] parameter allowing to define watershed separation mode |
| CInWhiteImg | [Input] White image. Used by shading correction algorithm |
| CInWhiteYStrip2d | [Input] Strip associated to white image. Used for instance by shading correction algorithm |
| CInXImg | [Input] x component of cartesian coordinates |
| CInXStrip2d | [Input] x strip 2d for operation |
| CInXXTile2dColl | [Input] tile 2d collection associated to xx matrix component |
| CInXXTile3dColl | [Input] tile 3d collection associated to xx matrix component |
| CInXXYStrip2d | [Input] XX y strip 2d matrix component for processing operation |
| CInXXZStrip3d | [Input] XX z strip 3d matrix component for processing operation |
| CInXYStrip2d | [Input] x component of cartesian coordinates |
| CInXYTile2dColl | [Input] tile 2d collection associated to xy matrix component |
| CInXYTile3dColl | [Input] tile 3d collection associated to xy matrix component |
| CInXYYStrip2d | [Input] XY y strip 2d matrix component for processing operation |
| CInXYZStrip3d | [Input] XY z strip 3d matrix component for processing operation |
| CInXZTile3dColl | [Input] tile 3d collection associated to xz matrix component |
| CInXZZStrip3d | [Input] XZ z strip 3d matrix component for processing operation |
| CInYImg | [Input] y component of cartesian coordinates |
| CInYStrip2d | [Input] y strip 2d for operation |
| CInYStrip2d1 | [Input] First y strip 2d for operation |
| CInYStrip2d2 | [Input] Second y strip 2d for operation |
| CInYStrip2d3 | [Input] Third y strip 2d for operation |
| CInYStrip2d4 | [Input] Fourth y strip 2d for operation |
| CInYStrip3d | [Input] y strip 3d for operation |
| CInYYStrip2d | [Input] y component of cartesian coordinates |
| CInYYTile2dColl | [Input] tile 2d collection associated to yy matrix component |
| CInYYTile3dColl | [Input] tile 3d collection associated to yy matrix component |
| CInYYYStrip2d | [Input] YY y strip 2d matrix component for processing operation |
| CInYYZStrip3d | [Input] YY z strip 3d matrix component for processing operation |
| CInYZTile3dColl | [Input] tile 3d collection associated to yz matrix component |
| CInYZZStrip3d | [Input] YZ z strip 3d matrix component for processing operation |
| CInZoomInterpolationMethod | [Input] interpolation method for image zoom algorithms |
| CInZSteps | [Input] collection of distances between successive z-plans of the image |
| CInZStrip3d | [Input] z strip 3d for operation |
| CInZStrip3d1 | [Input] First z strip 3d for operation |
| CInZStrip3d2 | [Input] Second z strip 3d for operation |
| CInZZTile3dColl | [Input] tile 3d collection associated to zz matrix component |
| CInZZZStrip3d | [Input] ZZ z strip 3d matrix component for processing operation |
| CIPSDKIPLAttributesException | Exception class for library IPSDKIPLAttributes |
| CKDEBandwidthPolicy | Policy used to compute smoothing bandwidth parameter during a kernel density estimation |
| CKDEDataSet | Data set associated to a kernel density estimator |
| CKernelKMeansParams | Structure allowing to encapsulate parameters for kernel kmeans clustering algorithm |
| CKKMeansCentroid | Kernel cluster centroid representation |
| CKKMeansCentroids | Collection of kernel cluster centroid representation |
| CKMeansAssignmentInfo | Information resulting from assignment step in k-means algorithm |
| CKMeansCompactnessInfo | Data item storing information necessary to compute compactness in k-means algorithm |
| CKMeansPPClusterInitInfo | Information used by the K-Means cluster initialization algorithm |
| CLabelActivationTable | Label activation table allowing to active labels for drawing |
| CLabelConnection | Connection indexes between two labels |
| CLabelConnectionTable | Label connections (equivalences) table |
| CLabelInfo | Image label informations |
| CLawTexPostProcParams | Parameters for Law texture filter post-processing phasis |
| CLawTexPreProcParams | Parameters for Law texture filter pre-processing phasis |
| CLawTextureKernel2dTypes | Types of 2d kernels used for Law's texture computation |
| CLawTextureKernel3dTypes | Types of 3d kernels used for Law's texture computation |
| CLocalExtremaConfig | Configuration for local extrema calculation |
| CMaxValIdx | Contains the maximum value and its index |
| CMVEParams | Input parameters for multiscale vessel enhancement |
| CNbModifiedPixels | Number of pixels modified by the algorithm |
| CNCCResult | Result of the global normalized-cross correlation between two images |
| COutBinImg | [Output] binary image for processing operation |
| COutBinImg3d | [Output] 3D binary image |
| COutBinLabImg | [Output] binary or label image for processing operation |
| COutBinLabYStrip2d | [Output] binary or label y strip 2d for operation |
| COutBinLabZStrip3d | [Output] binary or label z strip 3d for operation |
| COutBinYStrip2d | [Output] binary y strip 2d for operation |
| COutBinZStrip3d | [Output] binary z strip 3d for processing operation |
| COutClassImg | [Output] Image of classes |
| COutClassYStrip2d | [Output] class y strip 2d |
| COutClustersCenters | [Output] Centers of clusters |
| COutClustersPptiesColl | [Output] Collection of clusters properties |
| COutColorImg | [Output] color image for processing operation |
| COutColorYStrip2d | [Output] color y strip 2d for processing operation |
| COutCompactness | [Output] Compactness, used in k-means algorithm |
| COutCompareResult | [Output] Result for images comparison operation |
| COutComplexImImg | [Output Optional] Imaginary part of the complex image resulting from Hough circles detection |
| COutComplexImYStrip2d | [Output] imaginary part of complex y strip 2d |
| COutComplexRealImg | [Output Optional] Real part of the complex image resulting from Hough circles detection |
| COutComplexRealYStrip2d | [Output] real part of complex y strip 2d |
| COutDFTImg1 | [Output] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| COutDFTImg2 | [Output] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| COutDistImg | [Output] distance map image |
| COutDistWeight2d | [Output] Weighting coefficients for 2d distance calculation |
| COutDistWeight3d | [Output] Weighting coefficients for 3d distance calculation |
| COutDistXStrip2d | [Output] distance map x strip 2d for operation |
| COutDistYStrip2d | [Output] distance map y strip 2d for operation |
| COutDistZStrip3d | [Output] distance map z strip 3d for operation |
| COutFactor | [Output] Multiplying factor. Used for instance by smart shading correction algorithm |
| COutFeatures2dRegistrationResult | [Output] result of features 2d registration algorithm |
| COutFeatures2dRegistrationResults | [Output] collection of results for features 2d registration algorithm |
| COutFeatures3dRegistrationResult | [Output] result of features 3d registration algorithm |
| COutFeatures3dRegistrationResults | [Output] collection of results for features 3d registration algorithm |
| COutFlattenedClustersCenters | [Output] flattened collection of clusters centers |
| COutGaussianNoiseStats | |
| COutGlobalEntropyResult | [Output] Global entropy measure |
| COutGreyImg3d | [Output] grey image 3d for processing operation |
| COutGreySignatures2d | [Output] collection of features 2d grey signature used during processing |
| COutGreySignatures3d | [Output] collection of features 3d grey signature used during processing |
| COutGxGxImg | [Output] image containing squares of gradient values computed along x-axis |
| COutGxGyImg | [Output] image containing products of of gradient values computed along x-axis with gradient values computed along y-axis |
| COutGxGzImg | [Output] image containing products of of gradient values computed along x-axis with gradient values computed along y-axis |
| COutGyGyImg | [Output] image containing squares of gradient values computed along y-axis |
| COutGyGzImg | [Output] image containing products of of gradient values computed along x-axis with gradient values computed along y-axis |
| COutGzGzImg | [Output] image containing squares of gradient values computed along y-axis |
| COutHistogram | [Output] Contains the result of a histogram calculation on an input image |
| COutHoughCircles2dPpties | [Output] Properties of 2d circles detected by 2d Hough algorithm |
| COutHoughLines2dPpties | [Output] Properties of 2d lines detected by 2d Hough algorithm |
| COutHoughSpheres3dPpties | [Output] Properties of 3d spheres detected by 3d Hough algorithm |
| COutHxxImg | [Output] image of hessian (x-x axis) |
| COutHxyImg | [Output] image of image of hessian (x-y axis) |
| COutHxzImg | [Output] image of hessian (x-z axis) |
| COutHyyImg | [Output] image of hessian (y-y axis) |
| COutHyzImg | [Output] image of image of hessian (y-z axis) |
| COutHzzImg | [Output] image of image of hessian (z-z axis) |
| COutImg | [Output] image for processing operation |
| COutImg1 | [Output] First output image |
| COutImg2 | [Output] Second output image |
| COutImg2d | [Output] 2d image for processing operation |
| COutImgGreyValues | [Output] grey level values extracted from an image |
| COutIndexableUInt64 | [Output] container allowing to create a plan index of a single UInt64 |
| COutIntensityLUT | [Output] intensity lookup table used by algorithm |
| COutInterStripLabelConnections | [Output] Inter strip labels connections informations |
| COutIntImg | [Output] image containing integers |
| COutIntYStrip2d | [Output] integer y strip 2d for operation |
| COutKDEDataSet | [Output] data set associated to a kernel density estimator |
| COutKKMeansCentroids | [Output] collection of kernel cluster centroid representation |
| COutKMeansAssignmentInfo | [Output] information resulting from assignment step in k-means algorithm |
| COutKMeansCompactnessInfo | [Output] Data item storing information necessary to compute compactness during k-means process |
| COutKMeansPPClusterInitInfo | [Output] Information used by the K-Means cluster initialization algorithm |
| COutLabClassImg | [Output] Image containing labels or class indices |
| COutLabelActivationTable | [Output] Label activation table allowing to active labels for drawing |
| COutLabelConnectionTable | [Output] Label connections (equivalences) table |
| COutLabelImg | [Output] label image for processing operation |
| COutLabelImg3d | [Output] label image 3d for processing operation |
| COutLabelInfo | [Output] Image Label information |
| COutLabelsShape2d | [Output] Collection of shape 2d associated to labels |
| COutLabelsShape3d | [Output] Collection of shape 3d associated to labels |
| COutLabelYStrip2d | [Output] label y strip 2d for processing operation |
| COutLabelZStrip3d | [Output] label z strip 3d for processing operation |
| COutLightImg | [Output] lightness image |
| COutLightYStrip2d | [Output] lightness image y strip 2d |
| COutMatrix | [Output] Matrix |
| COutMatrixSums | [Output] Vector containing the elements of matrix of sums used for the computation of paraboloid fitting a 2d image |
| COutMax | [Output] maximum value |
| COutMaxLabel | [Output] maximum computed label value |
| COutMaxValIdx | [Output] Contains the maximum value and its index |
| COutMeasureSet | [Output] shape analysis measure set |
| COutMostEccentricClusterEltInfo | [Output] information associated to the most eccentric element of a given cluster |
| COutNbModifiedPixels | [Output] number of pixels modified by the algorithm |
| COutNCCResult | [Output] Result and intermediary results of the global NCC calculation |
| COutNoiseStats | [Output] Result for Gaussian noise measurement in an image |
| COutOffset | [Output] Offset. Used for instance by smart shading correction algorithm |
| COutOptBinImg | [Output Optional] binary image |
| COutOptClassImg | [Output Optional] Image of classes |
| COutOptGradXImg | [Output Optional] image associated to X component of gradient computation |
| COutOptGradXImg3d | [Output Optional] 3d image associated to X component of gradient computation |
| COutOptGradYImg | [Output Optional] image associated to Y component of gradient computation |
| COutOptGradYImg3d | [Output Optional] 3d image associated to Y component of gradient computation |
| COutOptGradZImg3d | [Output Optional] 3d image associated to Z component of gradient computation |
| COutOptGxGreyImg2d | [Output Optional] grey-levels 2d image of gradient computed along x-axis |
| COutOptGyGreyImg2d | [Output Optional] grey-levels 2d image of gradient computed along y-axis |
| COutOptImg | [Output Optional] image for processing operation |
| COutOptKMeansAssignmentInfo | [Output Optional] information resulting from assignment step in k-means algorithm |
| COutOptLabelImg2d | [Output Optional] label image 2d for processing operation |
| COutOptMaskImg | [Output Optional] mask image for processing operation |
| COutOptNbEltsPerCluster | [Output Optional] Number of elements per cluster |
| COutOptPosterizedImg | [Output Optional] Posterized image |
| COutOptRealImg | [Output Optional] image for processing operation (data contained in image buffer are reals) |
| COutOptRealImg1 | [Output Optional] image for processing operation (data contained in image buffer are reals) |
| COutOptRealImg2 | [Output Optional] image for processing operation (data contained in image buffer are reals) |
| COutOptRealYStrip2d | [Output Optional] real y strip 2d for operation |
| COutOptSeqImg | [Output Optional] sequence image for processing operation |
| COutOptSubGpuImg | [Output Optional] Output optional sub image stored on GPU |
| COutOptWk1BinImg | [Output Optional] Temporary working image for algorithm |
| COutOptWk1Img | [Output Optional] Temporary working image for algorithm |
| COutOptWk1LabelImg | [Output Optional] Temporary working image for algorithm |
| COutOptWk1RealGpuImg | [Output Optional] Temporary working image for GPU processes (data contained in image buffer are reals) |
| COutOptWk1RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk2BinImg | [Output Optional] Temporary working image for algorithm |
| COutOptWk2Img | [Output Optional] Temporary working image for algorithm |
| COutOptWk2LabelImg | [Output Optional] Temporary working image for algorithm |
| COutOptWk2RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk3Img | [Output Optional] Temporary working image for algorithm |
| COutOptWk3RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk4RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk5RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk6RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk7RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWk8RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| COutOptWkClassImg | [Output Optional] Temporary working image for algorithm |
| COutOutputRange | [Output] computed output image intensity range |
| COutParaboloidParams3d | [Output] Parameters defining a 3d paraboloid |
| COutPatchBasedBilateralParams | [Output] Parameters for patch-based bilateral filter |
| COutPCAEigenValues | [Output] Eigen values of matrix computed for PCA |
| COutPCAEigenVectors | [Output] Eigen vectors of matrix computed for PCA |
| COutPCAMatrixRank | [Output] Rank of the matrix computed in PCA |
| COutPearsonCCResult | [Output] Pearson correlation coefficient |
| COutPIGlobalEntropyResult | [Output] Plan indexed global entropy measure |
| COutPIGreySignatures2d | [Output] collection of features 2d grey signature used during processing |
| COutPIGreySignatures3d | |
| COutPIHistogram | [Output] Plan indexed collection of histogram properties |
| COutPIHoughCircles2dPpties | [Output] plan indexed collection of properties of circles detected by Hough algorithm |
| COutPIHoughLines2dPpties | [Output] plan indexed collection of positions and intensities of 2d pixels |
| COutPIHoughSpheres3dPpties | [Output] plan indexed collection of properties of circles detected by Hough algorithm |
| COutPIImgGreyValues | [Output] plan indexed collection of grey level values extracted from an image |
| COutPIIndexableUInt64 | [Output] Plan indexed collection of container allowing to create a plan index of a single UInt64 |
| COutPIKDEDataSet | [Output] plan indexed collection of kernel density estimator result data set |
| COutPILabelsShape2d | [Output] Plan indexed collection of shape 2d associated to labels |
| COutPILabelsShape3d | [Output] Plan indexed collection of shape 3d associated to labels |
| COutPIMeasureSet | [Output] Plan indexed collection of shape analysis measure set |
| COutPINCCResult | [Output] Plan indexed collection of NCC results |
| COutPIParaboloidParams3d | [Output] Plan indexed collection of 3d parameters of paraboloids |
| COutPIPatchBasedBilateralParams | [Output] Plan indexed collection of parameters for patch-based bilateral filter |
| COutPIPearsonCCResult | [Output] Plan indexed collection of results for Pearson correlation coefficient |
| COutPIPixels2d | [Output] plan indexed collection of positions and intensities of 2d pixels |
| COutPIRegistrationMotionTransform2d | [Output] Plan indexed collection of motion transforms 2d used during processing |
| COutPIStatsResult | [Output] Plan indexed collection of results for image statistics measure operation |
| COutPIValues | [Output] plan indexed collection of values |
| COutPIVoxels3d | [Output] plan indexed collection of positions and intensities of 3d voxels |
| COutPIWarpMotionTransform2dColl | [Output] plan indexed collection of 2d geometric transform |
| COutPixels2d | [Output] positions and intensities of 2d pixels |
| COutPosterizedImg | [Output] PosterizedImg |
| COutPosterizedYStrip2d | [Output] Posterized y strip 2d |
| COutProjStat | [Output] Vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction |
| COutProjStat1 | [Output] First vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction |
| COutProjStat2 | [Output] Second vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction |
| COutRealImg | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg1 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg10 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg2 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg3 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg4 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg5 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg6 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg7 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg8 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealImg9 | [Output] image for processing operation (data contained in image buffer are reals) |
| COutRealSeqImg | [Output] Real sequence image |
| COutRealSeqImg1 | [Output] First real sequence image |
| COutRealSeqImg2 | [Output] Second real sequence image |
| COutRealYStrip2d | [Output] real y strip 2d for operation |
| COutRealYStrip2d1 | [Output] real y strip 2d for operation |
| COutRealYStrip2d2 | [Output] real y strip 2d for operation |
| COutRealYStrip2d3 | [Output] real y strip 2d for operation |
| COutRealYStrip2d4 | [Output] real y strip 2d for operation |
| COutRealYStrip2d5 | [Output] real y strip 2d for operation |
| COutRealYStrip2d6 | [Output] real y strip 2d for operation |
| COutRealYStripSeq2d | [Output] Real sequence image |
| COutRealYStripSeq2d1 | [Output] First real sequence image |
| COutRealYStripSeq2d2 | [Output] Second real sequence image |
| COutRealZStrip3d | [Output] real z strip 3d for processing operation |
| COutRegistrationMotionTransform2d | [Output] transformation associated to a 2d motion |
| COutRegistrationTracking2dData | [Output] data used during registration 2d tracking |
| COutRegistrationTraining2dData | [Output] data associated to training phasis of intensity based 2d registration algorithm |
| COutRgbImg | [Output] Rgb color image for processing operation |
| COutRgbUInt8Img | [Output] Rgb color uint8 image for processing operation |
| COutRgbYStrip2d | [Output] Rgb color y strip 2d for processing operation |
| COutRgbZStrip3d | [Output] Rgb color z strip 3d for processing operation |
| COutRhoImg | [Output] rho component of polar coordinates |
| COutRhoYStrip2d | [Output] rho component of polar coordinates |
| COutSeqYStrip2d | [Output] Sequence y strip 2d for processing operation |
| COutSimilarityStats | [Output] Similarity statistics bewteen two images |
| COutSingleImg | [Output] single image |
| COutSingleYStrip2d | [Output] single image y strip 2d |
| COutStatsResult | [Output] Result for image statistics measure operation |
| COutSubBinImg3d | [Output] binary 3d sub image for processing operation |
| COutSubColorImg2d | [Output] color sub image 2d for processing operation |
| COutSubGpuImg | [Output] Output sub image stored on GPU |
| COutSubGpuImg1 | [Output] First sub image stored on GPU |
| COutSubGpuImg2 | [Output] Second image stored on GPU |
| COutSubImg2d | [Output] grey level 2d single sub image for operation |
| COutSubLabelImg2d | [Output] label 2d sub image for processing operation |
| COutSubLabelImg3d | [Output] label 3d sub image for processing operation |
| COutSubRealImg2d | [Output] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| COutSubRealImg3d | [Output] grey level 3d single sub image for operation (data contained in image buffer are reals) |
| COutSubRealSeqImg2d | [Output] Real sequence sub image |
| COutSubRealSeqImg2d1 | [Output] First real sequence sub image |
| COutSubRealSeqImg2d2 | [Output] Second real sequence sub image |
| COutSuperPixelUpdateCenters | [Output] Collection of super pixel update centers |
| COutThetaImg | [Output] theta component of polar coordinates |
| COutThetaYStrip2d | [Output] theta component of polar coordinates |
| COutThreshold | [Output] threshold value for image binarization |
| COutTile2dColl | [Output] tile 2d collection for operation |
| COutTile3dColl | [Output] tile 3d collection for operation |
| COutValues | [Output] Generic collection of values |
| COutVoxels3d | [Output] positions and intensities of 3d voxels |
| COutWarpMotionTransform2dColl | [Output] collection of motion transformation parameters associated to 2d warp operations |
| COutWk10RealImg | [Output] Temporary working image for algorithm |
| COutWk11RealImg | [Output] Temporary working image for algorithm |
| COutWk12RealImg | [Output] Temporary working image for algorithm |
| COutWk13RealImg | [Output] Temporary working image for algorithm |
| COutWk14RealImg | [Output] Temporary working image for algorithm |
| COutWk15RealImg | [Output] Temporary working image for algorithm |
| COutWk16RealImg | [Output] Temporary working image for algorithm |
| COutWk17RealImg | [Output] Temporary working image for algorithm |
| COutWk18RealImg | [Output] Temporary working image for algorithm |
| COutWk19RealImg | [Output] Temporary working image for algorithm |
| COutWk1BinImg | [Output] Temporary working image for algorithm |
| COutWk1ColorImg | [Output] Temporary working color image for algorithm |
| COutWk1DistImg | [Output] Temporary working image for algorithm |
| COutWk1Img | [Output] Temporary working image for algorithm |
| COutWk1LabelImg | [Output] Temporary working image for algorithm |
| COutWk1RealImg | [Output] Temporary working image for algorithm |
| COutWk20RealImg | [Output] Temporary working image for algorithm |
| COutWk21RealImg | [Output] Temporary working image for algorithm |
| COutWk22RealImg | [Output] Temporary working image for algorithm |
| COutWk2BinImg | [Output] Second temporary working image for algorithm |
| COutWk2Img | [Output] Temporary working image for algorithm |
| COutWk2LabelImg | [Output] Temporary working image for algorithm |
| COutWk2RealImg | [Output] Temporary working image for algorithm |
| COutWk3Img | [Output] Temporary working image for algorithm |
| COutWk3RealImg | [Output] Temporary working image for algorithm |
| COutWk4Img | [Output] Temporary working image for algorithm |
| COutWk4RealImg | [Output] Temporary working image for algorithm |
| COutWk5Img | [Output] Temporary working image for algorithm |
| COutWk5RealImg | [Output] Temporary working image for algorithm |
| COutWk6Img | [Output] Temporary working image for algorithm |
| COutWk6RealImg | [Output] Temporary working image for algorithm |
| COutWk7Img | [Output] Temporary working image for algorithm |
| COutWk7RealImg | [Output] Temporary working image for algorithm |
| COutWk8RealImg | [Output] Temporary working image for algorithm |
| COutWk9RealImg | [Output] Temporary working image for algorithm |
| COutXImg | [Output] x component of cartesian coordinates |
| COutXStrip2d | [Output] x strip for operation |
| COutXYStrip2d | [Output] x component of cartesian coordinates |
| COutYImg | [Output] y component of cartesian coordinates |
| COutYStrip2d | [Output] y strip 2d for operation |
| COutYStrip2d1 | [Output] First Y strip 2d |
| COutYStrip2d2 | [Output] Second Y strip 2d |
| COutYStrip3d | [Output] y strip 3d for operation |
| COutYYStrip2d | [Output] y component of cartesian coordinates |
| COutZStrip3d | [Output] z strip 3d for operation |
| COutZStrip3d1 | [Output] First z strip 3d for operation |
| COutZStrip3d2 | [Output] First z strip 3d for operation |
| CParaboloidParams3d | Parameters describing a 3d paraboloid |
| CPatchBasedBilateralParams | Parameters of patch-based bilateral filters |
| CPCAReductionParams | Parameters for sequence image dimensionality reduction using a PCA |
| CPearsonCCResult | Pearson correlation coefficient data item used to split the global Pearson measure |
| CPixel2d | Position and intensity of a 2d pixel |
| CPixelColor | Pixel with the intensity values for the different channels |
| CPixelPosition | Position of a pixel/voxel in its image |
| CPixels2d | Collection of 2d pixels |
| CPixelsColor | List of color pixels |
| CPlanIndexedCompareResult | Plan indexed collection of results for image comparison operation |
| CPlanIndexedCoords2dColl | Plan indexed collection of 2d pixels |
| CPlanIndexedCoords3dColl | Plan indexed collection of 3d pixels |
| CPlanIndexedCyclicRgbColorMap | Plan indexed collection of cyclic RGB color maps |
| CPlanIndexedDoubles | Plan indexed collection of doubles |
| CPlanIndexedFeatures2dGreySignature | Plan indexed collection of 2d features signature |
| CPlanIndexedFeatures2dRegistrationResult | Plan indexed collection of 2d features result |
| CPlanIndexedFeatures3dGreySignature | Plan indexed collection of 3d features signature |
| CPlanIndexedGlobalEntropyResult | Plan indexed collection of results for global entropy measure |
| CPlanIndexedHistogramData | Plan indexed collection of histogram properties |
| CPlanIndexedHistoMsrParams | Plan indexed collection of histogram measure parameters |
| CPlanIndexedHoughCircles2dPpties | Plan indexed collection of 2d circles detected by 2d Hough algorithm |
| CPlanIndexedHoughLines2dPpties | Plan indexed collection of 2d lines detected by 2d Hough algorithm |
| CPlanIndexedHoughSpheres3dPpties | Plan indexed collection of 2d circles detected by 2d Hough algorithm |
| CPlanIndexedIndexableUInt64 | Plan indexed collection of results for image statistics measure operation |
| CPlanIndexedIntensityLUT | Plan indexed collection of intensities look-up tables |
| CPlanIndexedKDEDataSet | Plan indexed collection of kernel density estimator result data set |
| CPlanIndexedNCCResult | Plan indexed collection of doubles |
| CPlanIndexedParaboloidParams3d | Plan indexed collection of 3d parameters of paraboloids |
| CPlanIndexedPatchBasedBilateralParams | Plan indexed collection of parameters for patch-based bilateral filter |
| CPlanIndexedPearsonCCResult | Plan indexed collection of results for Pearson correlation coefficient |
| CPlanIndexedPixels2d | Plan indexed collection of 2d pixels |
| CPlanIndexedRange | Plan indexed collection of ranges |
| CPlanIndexedRegistrationMotionTransform2d | Plan indexed collection of 2d motion transforms |
| CPlanIndexedSmoothRgbColorMap | Plan indexed collection of smooth RGB color maps |
| CPlanIndexedStatsResult | Plan indexed collection of results for image statistics measure operation |
| CPlanIndexedVoxels3d | Plan indexed collection of 3d voxels |
| CPlanIndexedWarpMotionTransform2dColl | Plan indexed collection of collection of geometric transform |
| CRandomForest | Random forest |
| CRandomForestFeature | Describes random forest feature |
| CRandomForestFeatureList | List of features used for random forest pixel classification |
| CRandomForestModel | Complete model of the random forest |
| CRandomForestTree | Random forest tree |
| CRandomForestTreeNode | Describes a node parameters in a random forest tree |
| CRange | Range (min and max) used as input parameter by image processing algorithms, such as normalization |
| CRegistrationMotionTransform2d | Transformation associated to a 2d motion |
| CRegistrationMotionTransform3d | Transformation associated to a 3d motion |
| CRegistrationTracking2dData | Data used during registration 2d tracking |
| CRegistrationTracking2dGrid | Tracking grid used during 2d tracking process |
| CRegistrationTraining2dConfig | Configuration for registration training phasis |
| CRegistrationTraining2dData | Data associated to training phasis of intensity based 2d registration algorithm |
| CRegistrationTrainingStageData | Data associated to a given stage of registration training phasis |
| CRemoveTooCloseCirclesParams | Parameters of "removing too close circles" phasis in Hough circles detection |
| CRgb | RGB triplet |
| CRidgeLine2dResult | Structure containing the results of the ridge line 2d algorithm |
| CRidgeLine3dResult | Structure containing the results of the ridge line 3d algorithm |
| CRobustDataPartitionConfig | Configuration parameters for data partition method used during robust estimation process |
| CRobustEstimationConfig | Configuration parameters for robust estimation |
| CRobustEstimationResults | Robust estimation results |
| CSamplingBallInfo | Parameters for a sampling ball around an image point |
| CSamplingRingInfo | Parameters for a sampling ring around an image point |
| CScaleCandidates | Scale candidates for processing |
| CScaleFactor2d | 2d scale factor |
| CScaleFactor3d | 3d scale factor |
| CSimilarityStats | Similarity statistics between two images |
| CSizeSuperPixels | Real size of super pixels |
| CSmoothRgbColorMap | Smooth RGB color map |
| CStatsResult | Result for image statistics measure operation |
| CSuperPixelUpdateCenter | Parameter used to update centers in the super pixels algorithm |
| CSuperPixelUpdateCenters | Collection of super pixel update centers |
| CSurfaceExtractionSettings | Settings used for surfaces extraction |
| CUIntegers64 | Collection of 64-bits unsigned integers |
| Cv | [Output] collection of features 3d grey signature used during processing |
| CVoxel3d | Position and intensity of a 3d voxel |
| CVoxels3d | Collection of 3d voxels |
| CWarpMotionTransform2d | Informations for warp motion transformation 2d |
| CWarpMotionTransform2dColl | Collection of warp motion transforms |
| CWarpMotionTransform3d | Informations for warp motion transformation 3d |
| CZSteps | Collection of distance between successive z-plans of the image |
| ▶Nbin | Namespace aggregating binarization operations on images |
| CAdaptiveThreshold2dImgLvl1 | Level 1 algorithm: Binarize an input image according an adaptive threshold based on the pixel's neighbourhood |
| CAdaptiveThreshold2dImgLvl2 | Level 2 algorithm: Binarize an input image according an adaptive threshold based on the pixel's neighbourhood |
| CAdaptiveThreshold2dImgLvl3 | Level 3 algorithm: Binarize an input image according an adaptive threshold based on the pixel's neighbourhood |
| CAdaptiveThreshold3dImgLvl1 | Level 1 algorithm: Binarize a 3d input image according an adaptive threshold based on the voxel's neighbourhood |
| CAdaptiveThreshold3dImgLvl2 | Level 2 algorithm: Binarize a 3d input image according an adaptive threshold based on the voxel's neighbourhood |
| CAdaptiveThreshold3dImgLvl3 | Level 3 algorithm: Binarize a 3d input image according an adaptive threshold based on the voxel's neighbourhood |
| CAdaptiveThresholdMean2dImgLvl1 | Level 1 algorithm: binarize an input image according an adaptive threshold based on the mean intensity of the pixel's neighbourhood |
| CAdaptiveThresholdMean2dImgLvl2 | Level 2 algorithm: binarize an input image according an adaptive threshold based on the mean intensity of the pixel's neighbourhood |
| CAdaptiveThresholdMean2dImgLvl3 | Level 3 algorithm: binarize an input image according an adaptive threshold based on the mean intensity of the pixel's neighbourhood |
| CAdaptiveThresholdMean3dImgLvl1 | Level 1 algorithm: binarize a 3d input image according an adaptive threshold based on the mean intensity of the voxel's neighbourhood |
| CAdaptiveThresholdMean3dImgLvl2 | Level 2 algorithm: binarize a 3d input image according an adaptive threshold based on the mean intensity of the voxel's neighbourhood |
| CAdaptiveThresholdMean3dImgLvl3 | Level 3 algorithm: binarize a 3d input image according an adaptive threshold based on the mean intensity of the voxel's neighbourhood |
| CGSFRegistrationImg2dResult | Structure allowing to encaspulate results of GreySignedFeatures2dRegistrationImg |
| CHysteresisThreshold2dImgLvl1 | Level 1 algorithm: Apply hysteresis thresholding to an image |
| CHysteresisThreshold3dImgLvl1 | Level 1 algorithm: Apply hysteresis thresholding to a 3d image |
| CIPSDKIPLBinarizationException | Exception class for library IPSDKIPLBinarization |
| CIsoDataResult | Structure allowing to encaspulate isodata binarization results |
| CIsoDataThresholdImgLvl1 | Level 1 algorithm: computation of iso data threshold on one image |
| CIsoDataThresholdLvl1 | Level 1 algorithm: computation of iso data threshold on one image |
| CKapurResult | Structure allowing to encaspulate Kapur binarization results |
| CKapurThresholdImgLvl1 | Level 1 algorithm: Kapur binary threshold on one image |
| CKapurThresholdLvl1 | Level 1 algorithm: Kapur binary threshold on one image |
| CKittlerResult | Structure allowing to encaspulate Kittler binarization results |
| CKittlerThresholdImgLvl1 | Level 1 algorithm: Kittler binary threshold on one image |
| CKittlerThresholdLvl1 | Level 1 algorithm: Kittler binary threshold on one image |
| COtsuResult | Structure allowing to encaspulate otsu binarization results |
| COtsuThresholdImgLvl1 | Level 1 algorithm: computation of otsu threshold on one image |
| COtsuThresholdLvl1 | Level 1 algorithm: computation of otsu threshold on one image |
| CThresholdImgLvl1 | Level 1 algorithm: binary threshold on one image |
| CTopHat2dImgLvl1 | Level 1 algorithm: TopHat binary threshold on one 2d image |
| CTopHat3dImgLvl1 | Level 1 algorithm: TopHat binary threshold on one 3d image |
| ▶Nclassif | Namespace aggregating classification operations on images |
| CIPSDKIPLClassificationException | Exception class for library IPSDKIPLClassification |
| CKernelKMeansAssignImgLvl1 | Level 1 algorithm: assignment part of Kernel based KMeans clustering algorithm |
| CKernelKMeansAssignImgLvl2 | Level 2 algorithm: assignment part of Kernel based KMeans clustering algorithm |
| CKernelKMeansAssignImgLvl3 | Level 3 algorithm: assignment part of Kernel based KMeans clustering algorithm |
| CKernelKMeansImgLvl1 | Level 1 algorithm: Kernel KMeans clustering algorithm |
| CKernelKMeansResults | Structure allowing to encaspulate image of classes and coordinates of clusters centroids resulting from the application of the K-means algorithm |
| CKMeansAssignImgLvl1 | Level 1 algorithm: Assigns pixels of an input image to clusters given clusters centroids |
| CKMeansAssignImgLvl2 | Level 2 algorithm: Assigns pixels of an input image to clusters given clusters centroids |
| CKMeansAssignImgLvl3 | Level 3 algorithm: Assigns pixels of an input image to clusters given clusters centroids |
| CKMeansAssignResults | |
| CKMeansComputeCentersLvl1 | Level 1 algorithm: Compute clusters centroids given an input image and the image of classes |
| CKMeansComputeCentersLvl2 | Level 2 algorithm: Compute clusters centroids given an input image and the image of classes |
| CKMeansComputeCentersLvl3 | Level 3 algorithm: Compute clusters centroids given an input image and the image of classes |
| CKMeansComputeCompactnessLvl1 | Level 1 algorithm: Compute compactness given an input image of classes and clusters centroids |
| CKMeansComputeCompactnessLvl2 | Level 2 algorithm: Compute compactness given an input image of classes and clusters centroids |
| CKMeansComputeCompactnessLvl3 | Level 3 algorithm: Compute compactness given an input image of classes and clusters centroids |
| CKMeansImgLvl1 | See K-means algorithm for a complete algorithm description |
| CKMeansPosterizeImgLvl1 | Level 1 algorithm: Posterize an image using the results from k-means algorithm |
| CKMeansPosterizeImgLvl2 | Level 2 algorithm: Posterize an image using the results from k-means algorithm |
| CKMeansPosterizeImgLvl3 | Level 3 algorithm: Posterize an image using the results from k-means algorithm |
| CKMeansPPClusterInitLvl1 | Level 1 algorithm: Initializes the clusters for K-Mean classification |
| CKMeansResults | Structure allowing to encaspulate image of classes, coordinates of centers of clusters and compactness resulting from the application of the K-means algorithm |
| CPCAReductionImgLvl1 | Level 1 algorithm: Applies PCA to a sequence image to reduce its dimensionality |
| CPCAReductionResults | Structure allowing to encaspulate the result of a PCA image reduction |
| ▶Ncolor | Namespace aggregating color operations on images |
| CAppendColorChannelImgGpuLvl3 | Level 2 algorithm: Generates a color image by merging the color channel of the two input images, dedicated to GPU calculation |
| CAppendColorChannelImgLvl1 | Level 1 algorithm: Generates a color image by merging the color channel of the two input images |
| CAppendColorChannelImgLvl2 | Level 2 algorithm: Generates a color image by merging the color channel of the two input images |
| CAppendColorChannelImgLvl3 | Level 3 algorithm: Generates a color image by merging the color channel of the two input images |
| CColorConvertImgLvl1 | Level 1 algorithm: convert a color image from a given color space to an other |
| CColorConvertImgLvl2 | Level 2 algorithm: convert a color image from a given color space to an other |
| CColorConvertImgLvl3 | Level 3 algorithm: convert a color image from a given color space to an other |
| CIPSDKIPLColorException | Exception class for library IPSDKIPLColor |
| CLightnessImgLvl1 | Level 1 algorithm: lightness computation from an input color image |
| CLightnessImgLvl2 | Level 2 algorithm: lightness computation from an input Color color image |
| CLightnessImgLvl3 | Level 3 algorithm: lightness computation from an input color image |
| ▶Nfd | Namespace aggregating features detection operations in images |
| CCannyEdges2dImgLvl1 | Level 1 algorithm: detects edges in images using Canny method |
| CCannyEdges2dImgLvl2 | Level 2 algorithm: detects edges in images using Canny's detector |
| CCannyEdges2dImgLvl3 | Level 3 algorithm: detects edges in images using Canny's detector |
| CCannySurfaces3dImgLvl1 | Level 1 algorithm: detects surfaces in 3d images using Canny method |
| CCannySurfaces3dImgLvl2 | Level 2 algorithm: detects surfaces in 3d images using Canny's detector |
| CCannySurfaces3dImgLvl3 | Level 3 algorithm: detects surfaces in 3d images using Canny's detector |
| CExtractLocalExtrema2dLvl1 | Level 1 algorithm: finds the local maxima in an image |
| CExtractLocalExtrema2dLvl2 | Level 2 algorithm: finds the local maxima in an image |
| CExtractLocalExtrema2dLvl3 | Level 3 algorithm: finds the local maxima in an image |
| CExtractLocalExtrema3dLvl1 | Level 1 algorithm: extraction of local extrema (minima or maxima) in a 3d image |
| CExtractLocalExtrema3dLvl2 | Level 2 algorithm: extraction of local extrema (minima or maxima) in a 3d image |
| CExtractLocalExtrema3dLvl3 | Level 3 algorithm: extraction of local extrema (minima or maxima) in a 3d image |
| CHarrisCorner2dImgLvl1 | Level 1 algorithm: Computes the Harris corner detection response |
| CHarrisCorner2dImgLvl2 | Level 2 algorithm: Computes the Harris corner detection response |
| CHarrisCorner2dImgLvl3 | Level 3 algorithm: Computes the Harris corner detection response |
| CHarrisCorner2dLvl1 | Level 1 algorithm: Extracts the corners in an image |
| CHarrisCorner2dLvl2 | Level 2 algorithm: Extracts the corners in an image |
| CHarrisCorner3dImgLvl1 | Level 1 algorithm: Computes the Harris corner detection response on a 3d image |
| CHarrisCorner3dImgLvl2 | Level 2 algorithm: Computes the Harris corner detection response on a 3d image |
| CHarrisCorner3dImgLvl3 | Level 3 algorithm: Computes the Harris corner detection response on a 3d image |
| CHarrisCorner3dLvl1 | Level 1 algorithm: Extracts the corners in a 3d image |
| CHarrisCorner3dLvl2 | Level 2 algorithm: Extracts the corners in a 3d image |
| CHoughCircles2dImgLvl1 | Level 1 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughCircles2dImgLvl2 | Level 2 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughCircles2dImgLvl3 | Level 3 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughCircles2dLvl1 | Level 1 algorithm: detects circles in image using Hough algorithm |
| CHoughCircles2dLvl2 | Level 2 algorithm: detects circles in image using Hough algorithm |
| CHoughCirclesComplexImg | Structure allowing to encaspulate real and imaginary part images associated to the result of a hough circles phase coded 2d computation |
| CHoughCirclesPhaseCoded2dImgLvl1 | Level 1 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughCirclesPhaseCoded2dImgLvl2 | Level 2 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughCirclesPhaseCoded2dImgLvl3 | Level 3 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughLines2dImgLvl1 | Level 1 algorithm: detection of 2D lines in images of gradient using Hough algorithm |
| CHoughLines2dImgLvl2 | Level 2 algorithm: detection of 2D lines in images of gradient using Hough algorithm |
| CHoughLines2dImgLvl3 | Level 3 algorithm: detection of 2D lines in images of gradient using Hough algorithm |
| CHoughLines2dLvl1 | Level 1 algorithm: detection of 2D lines in image using Hough algorithm |
| CHoughLines2dLvl2 | Level 2 algorithm: detection of 2D lines in image using Hough algorithm |
| CHoughLinesGradient2dImgLvl1 | Level 1 algorithm: detection of 2D lines in images of gradient using Hough algorithm |
| CHoughLinesGradient2dImgLvl2 | Level 2 algorithm: detection of 2D lines in images of gradient using Hough algorithm |
| CHoughLinesGradient2dImgLvl3 | Level 3 algorithm: detection of 2D lines in images of gradient using Hough algorithm |
| CHoughLinesGradient2dLvl1 | Level 1 algorithm: detection of 2D lines in gradient images using Hough algorithm |
| CHoughLinesGradient2dLvl2 | Level 2 algorithm: detection of 2D lines in gradient images using Hough algorithm |
| CHoughLinesResult | Structure allowing to encaspulate detected lines and output image associated to the result of a 2d Hough lines detection |
| CHoughSpheres3dImgLvl1 | Level 1 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughSpheres3dImgLvl2 | Level 2 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughSpheres3dImgLvl3 | Level 3 algorithm: detects circles in images of gradient using Hough algorithm |
| CHoughSpheres3dLabelImgLvl1 | See Hough spheres label 3d image for a complete algorithm description |
| CHoughSpheres3dLabelImgLvl2 | See Hough spheres label 3d image for a complete algorithm description |
| CHoughSpheres3dLabelImgLvl3 | See Hough spheres label 3d image for a complete algorithm description |
| CHoughSpheres3dLvl1 | Level 1 algorithm: detects spheres in a 3d image using Hough algorithm |
| CHoughSpheres3dLvl2 | Level 2 algorithm: detects spheres in a 3d image using Hough algorithm |
| CHoughSpheres3dMaskImgLvl1 | Level 1 algorithm: Creates a mask image from 3D spheres detected with te 3D Hough detection algorithm |
| CHoughSpheres3dMaskImgLvl2 | Level 2 algorithm: Creates a mask image from 3D spheres detected with te 3D Hough detection algorithm |
| CHoughSpheres3dMaskImgLvl3 | Level 3 algorithm: Creates a mask image from 3D spheres detected with te 3D Hough detection algorithm |
| CIPSDKIPLFeatureDetectionException | Exception class for library IPSDKIPLFeatureDetection |
| CPlanIndexedHoughLinesResult | Structure allowing to encaspulate detected lines and output image associated to the result of a 2d Hough lines detection on a multi-slice image |
| ▶Nfilter | Namespace aggregating filtering operations on images |
| CAnisotropicDiffusion2dImgLvl1 | Level 1 algorithm: Anisotropic diffusion smoothing filter |
| CAnisotropicDiffusion3dImgLvl1 | Level 1 algorithm: Anisotropic diffusion smoothing filter |
| CAutomaticPatchBasedBilateralResult | Structure allowing to encaspulate output image and output parameters computed by the patch-based bilateral algorithm (2d and 3d) |
| CAutomaticPlanIndexedPatchBasedBilateralResult | Structure allowing to encaspulate output image and output parameters computed by the patch-based bilateral algorithm (2d and 3d) |
| CAutomaticZStackFocusMaximumResult | Structure allowing to encaspulate output image and output parameters computed by the Z stack focus maximum algorithm (2d and 3d) |
| CBilateral2dImgLvl1 | Level 1 algorithm: bilateral filter on 2d image (tabulated exponential implementation) |
| CBilateral2dImgLvl2 | Level 2 algorithm: bilateral filter on 2d image (tabulated exponential implementation) |
| CBilateral2dImgLvl3 | Level 3 algorithm: bilateral filter on 2d image (tabulated exponential implementation) |
| CBilateral3dImgLvl1 | Level 1 algorithm: bilateral filter on 3d image |
| CBilateral3dImgLvl2 | Level 2 algorithm: bilateral filter on 3d image |
| CBilateral3dImgLvl3 | Level 3 algorithm: bilateral filter on 3d image |
| CConvolution2dImgGpuLvl3 | Level 3 algorithm for image copy dedicated to GPU calculation |
| CConvolution2dImgLvl1 | Level 1 algorithm: convolution algorithm of input 2d image using a given kernel |
| CConvolution2dImgLvl2 | Level 2 algorithm: convolution algorithm of input 2d image using a given kernel |
| CConvolution2dImgLvl3 | Level 3 algorithm: convolution algorithm of input 2d image using a given kernel |
| CConvolution3dImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CConvolution3dImgLvl1 | Level 1 algorithm: convolution algorithm of input 3d image using a given kernel |
| CConvolution3dImgLvl2 | Level 2 algorithm: convolution algorithm of input 3d image using a given kernel |
| CConvolution3dImgLvl3 | Level 3 algorithm: convolution algorithm of input 3d image using a given kernel |
| CDespeckleFilter2dImgLvl1 | Level 1 algorithm: Smoothes the input image replacing aberrant values by the neighbourhood's mean intensity |
| CDespeckleFilter2dImgLvl2 | Level 2 algorithm: Smoothes the input image replacing aberrant values by the neighbourhood's mean intensity |
| CDespeckleFilter2dImgLvl3 | Level 3 algorithm: Smoothes the input image replacing aberrant values by the neighbourhood's mean intensity |
| CDicIntegration2dImgLvl1 | Level 1 algorithm: Differential Interference Contrast (DIC) line integration along a given orientation on 2d images |
| CDicIntegration2dImgLvl2 | Level 2 algorithm: Differential Interference Contrast (DIC) line integration along a given orientation on 2d images |
| CDicPhaseRetrieval2dImgLvl1 | Level 1 algorithm: Phase retrieval from Paganin et al. 2004 |
| CDicPhaseRetrieval2dImgLvl2 | Level 2 algorithm: Phase retrieval from Paganin et al. 2004 |
| CDicPhaseRetrievalParams | Set of parameter used for the DIC phase retrieval algorithm |
| CFastCrossCorrelation2dImgLvl1 | Level 1 algorithm: 2D Cross correlation calculated in the Fourier domain |
| CFastCrossCorrelation2dImgLvl2 | Level 2 algorithm: 2D Cross correlation calculated in the Fourier domain |
| CFastCrossCorrelation3dImgLvl1 | Level 1 algorithm: 3D Cross correlation calculated in the Fourier domain |
| CFastCrossCorrelation3dImgLvl2 | Level 2 algorithm: 3D Cross correlation calculated in the Fourier domain |
| CFrequencyFiltering2dImgLvl1 | Level 1 algorithm: Filters an image in Fourier domain by selecting a frequency range |
| CFrequencyFiltering2dImgLvl2 | Level 2 algorithm: Filters an image in Fourier domain by selecting a frequency range |
| CFrequencyFiltering3dImgLvl1 | Level 1 algorithm: Filters a 3d image in Fourier domain by selecting a frequency range |
| CFrequencyFiltering3dImgLvl2 | Level 2 algorithm: Filters a 3d image in Fourier domain by selecting a frequency range |
| CGaussianGradient2dImgLvl1 | Level 1 algorithm: Gaussian filter used to compute gradient on a 2d image |
| CGaussianGradient3dImgLvl1 | Level 1 algorithm: Gaussian filter used to compute gradient on a 3d image |
| CGaussianHessian2dImgLvl1 | Level 1 algorithm: Gaussian filter used to compute Hessian on a 2d image |
| CGaussianHessian3dImgLvl1 | Level 1 algorithm: Gaussian filter used to compute Hessian on a 3d image |
| CGaussianSmoothing2dImgLvl1 | Level 1 algorithm: Gaussian filter used to blur a 2d image |
| CGaussianSmoothing3dImgLvl1 | Level 1 algorithm: Gaussian filter used to blur a 3d image |
| CGradientXYImg | Structure allowing to encaspulate x and y images associated to the result of a 2d gradient computation |
| CGradientXYZImg | Structure allowing to encaspulate x, y and z images associated to the result of a 3d gradient computation |
| CHessianXYImg | Structure allowing to encaspulate x-x, x-y and y-y images associated to the result of a 2d Hessian computation |
| CHessianXYZImg | Structure allowing to encaspulate x-x, x-y, x-z, y-y, y-z and z-z images associated to the result of a 3d Hessian computation |
| CHighPass2dImgLvl1 | Level 1 algorithm: high pass filter on 2d image |
| CHighPass2dImgLvl2 | Level 2 algorithm: high pass filter on 2d image |
| CHighPass2dImgLvl3 | Level 3 algorithm: high pass filter on 2d image |
| CHighPass3dImgLvl1 | Level 1 algorithm: high pass filter on 3d image |
| CHighPass3dImgLvl2 | Level 2 algorithm: high pass filter on 3d image |
| CHighPass3dImgLvl3 | Level 3 algorithm: high pass filter on 3d image |
| CInDicPhaseRetrievalParams | [Input] Attribute for the set of parameter used for the DIC phase retrieval algorithm |
| CIPSDKIPLFilteringException | Exception class for library IPSDKIPLFiltering |
| CLaplacianDoG2dImgLvl1 | Level 1 algorithm: laplacian algorithm of input 2d image using a difference of gaussian approximation |
| CLaplacianDoG3dImgLvl1 | Level 1 algorithm: laplacian algorithm of input 3d image using a difference of gaussian approximation |
| CLaplacianDoGDeblur2dImgLvl1 | Level 1 algorithm: 2d image deblur algorithm using Laplacian kernels based on a difference of Gaussian approximation |
| CLaplacianDoGDeblur3dImgLvl1 | Level 1 algorithm: 3d image deblur algorithm using Laplacian kernels based on a difference of Gaussian approximation |
| CMeanSmoothing2dImgLvl1 | Level 1 algorithm: Mean filter used to blur a 2d image |
| CMeanSmoothing2dImgLvl2 | Level 2 algorithm: Mean filter used to blur a 2d image |
| CMeanSmoothing2dImgLvl3 | Level 3 algorithm: Mean filter used to blur a 2d image |
| CMeanSmoothing2dMaskImgLvl1 | Level 1 algorithm: Masked mean filter used to blur a 2d image |
| CMeanSmoothing2dMaskImgLvl2 | Level 2 algorithm: Masked mean filter used to blur a 2d image |
| CMeanSmoothing2dMaskImgLvl3 | Level 3 algorithm: Masked mean filter used to blur a 2d image |
| CMeanSmoothing3dImgLvl1 | Level 1 algorithm: Mean filter used to blur a 3d image |
| CMeanSmoothing3dImgLvl2 | Level 2 algorithm: Mean filter used to blur a 3d image |
| CMeanSmoothing3dMaskImgLvl1 | Level 1 algorithm: Masked mean filter used to blur a 3d image |
| CMeanSmoothing3dMaskImgLvl2 | Level 2 algorithm: Masked mean filter used to blur a 3d image |
| CMeanSmoothing3dMaskImgLvl3 | Level 3 algorithm: Masked mean filter used to blur a 3d image |
| CMedian2dImgLvl1 | Level 1 algorithm: Median filter on a 2d image |
| CMedian3dImgLvl1 | Level 1 algorithm: median filter on a 3d image |
| CMultiscaleVesselEnhancement2dImgLvl1 | Level 1 algorithm: Multiscale vessel enhancement using Frangi's approach |
| CMultiscaleVesselEnhancement2dImgLvl2 | Level 2 algorithm: Multiscale vessel enhancement using Frangi's approach |
| CMultiscaleVesselEnhancement3dImgLvl1 | Level 1 algorithm: Multiscale vessel enhancement using Frangi's approach on 3d images |
| CMultiscaleVesselEnhancement3dImgLvl2 | Level 2 algorithm: Multiscale vessel enhancement using Frangi's approach on 3d images |
| CNormalizedCrossCorrelation2dImgLvl1 | Level 1 algorithm: Computes the Normalized Cross Correlation between an image and a kernel |
| CNormalizedCrossCorrelation2dImgLvl2 | Level 2 algorithm: Computes the Normalized Cross Correlation between an image and a kernel |
| CNormalizedCrossCorrelation2dImgLvl3 | Level 3 algorithm: Computes the Normalized Cross Correlation between an image and a kernel |
| CNormalizedCrossCorrelation3dImgLvl1 | Level 1 algorithm: Computes the Normalized Cross Correlation between a volume and a 3d kernel |
| CNormalizedCrossCorrelation3dImgLvl2 | Level 2 algorithm: Computes the Normalized Cross Correlation between a volume and a 3d kernel |
| CNormalizedCrossCorrelation3dImgLvl3 | Level 3 algorithm: Computes the Normalized Cross Correlation between a volume and a 3d kernel |
| CPatchBasedBilateral2dImgLvl1 | Level 1 algorithm: patch-based bilateral filter used to denoise a 2d image |
| CPatchBasedBilateral2dImgLvl2 | Level 2 algorithm: patch-based bilateral filter used to denoise a 2d image |
| CPatchBasedBilateral2dImgLvl3 | Level 3 algorithm: patch-based bilateral filter used to denoise a 2d image |
| CPatchBasedBilateral3dImgLvl1 | Level 1 algorithm: Non-local means filter used to denoise a 3d image |
| CPatchBasedBilateral3dImgLvl2 | Level 2 algorithm: Patch-based bilateral filter used to denoise a 3d image |
| CPatchBasedBilateral3dImgLvl3 | Level 3 algorithm: Non-local means filter used to denoise a 3d image |
| CPatchBasedBilateralResult | |
| CPearsonColocalization2dImgLvl1 | Level 1 algorithm: builds the Pearson's colocalization map computing the Pearson correlation coefficient on each pixel |
| CPearsonColocalization2dImgLvl2 | Level 2 algorithm: builds the Pearson's colocalization map computing the Pearson correlation coefficient on each pixel |
| CPearsonColocalization2dImgLvl3 | Level 3 algorithm: builds the Pearson's colocalization map computing the Pearson correlation coefficient on each pixel |
| CPearsonColocalization3dImgLvl1 | Level 1 algorithm: builds the Pearson's colocalization map computing the Pearson correlation coefficient on each voxel |
| CPearsonColocalization3dImgLvl2 | Level 2 algorithm: builds the Pearson's colocalization map computing the Pearson correlation coefficient on each voxel |
| CPearsonColocalization3dImgLvl3 | Level 3 algorithm: builds the Pearson's colocalization map computing the Pearson correlation coefficient on each voxel |
| CPlanIndexedPatchBasedBilateralResult | |
| CRichardsonLucyDeblur2dImgLvl1 | Level 1 algorithm: 2d image deblur algorithm using Laplacian kernels based on the Richardson-Lucy algorithm |
| CRichardsonLucyDeblur3dImgLvl1 | Level 1 algorithm: 3d image deblur algorithm using Laplacian kernels based on the Richardson-Lucy algorithm |
| CRichardsonLucyDeconvolution2dImgLvl1 | Level 1 algorithm: Richardson-Lucy deconvolution algorithm |
| CSeparatedBilateral2dImgLvl1 | Level 1 algorithm: separated version of bilateral filter on 2d image |
| CSeparatedBilateral2dImgLvl2 | Level 2 algorithm: separated version of bilateral filter on 2d image |
| CSeparatedBilateral3dImgLvl1 | Level 1 algorithm: separated version of bilateral filter on 3d image |
| CSeparatedBilateral3dImgLvl2 | Level 2 algorithm: separated version of bilateral filter on 3d image |
| CSobelGradient2dImgLvl1 | Level 1 algorithm: Sobel filter used to compute gradient on a 2d image |
| CSobelGradient3dImgLvl1 | Level 1 algorithm: Sobel filter used to compute gradient on a 3d image |
| CUnsharpMask2dImgLvl1 | Level 1 algorithm: unsharp mask filtering of input 2d image |
| CUnsharpMask3dImgLvl1 | Level 1 algorithm: unsharp mask filtering of input 3d image |
| CVariance2dImgGpuLvl3 | Level 3 algorithm for image copy dedicated to GPU calculation |
| CVariance3dImgGpuLvl3 | Level 3 algorithm for image copy dedicated to GPU calculation |
| CVSNR2dImgLvl1 | Level 1 algorithm: Variational Stationary Noise Remover |
| CVSNRResult | Structure allowing to encaspulate VSNR results |
| CZStackFocusMaximumImgLvl1 | Level 1 algorithm: function for computing a contrasted image by maximum along the Z axis |
| CZStackFocusMaximumResult | |
| CZStackFocusPonderationImgLvl1 | Level 1 algorithm: function computing a contrasted image by ponderation along the Z axis |
| ▶Nglbmsr | Namespace aggregating global measure operations on images, pixel by pixel |
| CAreaPercent2dMsrLvl1 | Level 1 algorithm: Computes the ratio between the number of pixels and the total image size |
| CAreaPercent2dMsrLvl2 | Level 2 algorithm: Computes the ratio between the number of pixels and the total image size |
| CAreaPercent2dMsrLvl3 | Level 3 algorithm: Computes the ratio between the number of pixels and the total image size |
| CCounting2dMsrLvl1 | Level 1 algorithm: Count the number of objects in the image |
| CCounting2dMsrLvl2 | Level 2 algorithm: Count the number of objects in the image |
| CCounting3dMsrLvl1 | Level 1 algorithm: Count the number of objects in the 3D input label image |
| CCounting3dMsrLvl2 | Level 2 algorithm: Count the number of objects in the 3D input label image |
| CGaussianNoiseMsrLvl1 | Level 1 algorithm: Image Gaussian noise measures estimation |
| CGaussianNoiseMsrLvl2 | Level 2 algorithm: Image Gaussian noise measures estimation |
| CGaussianNoiseMsrLvl3 | Level 3 algorithm: Image Gaussian noise measures estimation |
| CGlobalEntropyMsr2dLvl1 | Level 1 algorithm: Compute 2d image global entropy |
| CGlobalEntropyMsr2dLvl2 | Level 2 algorithm: Compute 2d image global entropy |
| CHistogramMaskMsr2dLvl1 | Level 1 algorithm: calculates the histogram for each 2d plan of an input image intersected with a mask |
| CHistogramMaskMsr2dLvl2 | Level 2 algorithm: calculates the histogram for each 2d plan of an input image intersected with a mask image |
| CHistogramMaskMsr2dLvl3 | Level 3 algorithm: calculates the histogram for each 2d plan of an input image intersected with a mask |
| CHistogramMaskMsr3dLvl1 | Level 1 algorithm: calculates the histogram for each 3d data of an input image intersected with a mask |
| CHistogramMaskMsr3dLvl2 | Level 2 algorithm: calculates the histogram for each 3d data of an input image intersected with a mask |
| CHistogramMaskMsr3dLvl3 | Level 3 algorithm: calculates the histogram for each 3d data of an input image intersected with a mask |
| CHistogramMsr2dLvl1 | Level 1 algorithm: calculates the histogram for each 2d plan of an input image |
| CHistogramMsr2dLvl2 | Level 2 algorithm: calculates the histogram for each 2d plan of an input image |
| CHistogramMsr2dLvl3 | Level 3 algorithm: calculates the histogram for each 2d plan of an input image |
| CHistogramMsr3dLvl1 | Level 1 algorithm: calculates the histogram for each 3d data of an input image |
| CHistogramMsr3dLvl2 | Level 2 algorithm: calculates the histogram for each 3d data of an input image |
| CHistogramMsr3dLvl3 | Level 3 algorithm: calculates the histogram for each 3d data of an input image |
| CIPSDKIPLGlobalMeasureException | Exception class for library IPSDKIPLGlobalMeasure |
| CKernelDensityEstimator2dLvl1 | Level 1 algorithm: algorithm allowing to estimate probability density function of a 2d image |
| CKernelDensityEstimator2dLvl2 | Level 2 algorithm: algorithm allowing to estimate probability density function of a 2d image |
| CKernelDensityEstimator3dLvl1 | Level 1 algorithm: algorithm allowing to estimate probability density function of a 3d image |
| CKernelDensityEstimator3dLvl2 | Level 2 algorithm: algorithm allowing to estimate probability density function of a 3d image |
| CLocatePixels2dLvl1 | Level 1 algorithm: Build the list of the coordinates of the pixels with a value of True in the input binary image |
| CLocatePixels2dLvl2 | Level 2 algorithm: Build the list of the coordinates of the pixels with a value of True in the input binary image |
| CLocatePixels2dLvl3 | Level 3 algorithm: Build the list of the coordinates of the pixels with a value of True in the input binary image |
| CLocateVoxels3dLvl1 | Level 1 algorithm: Build the list of the coordinates of the voxels with a value of True in the input binary image |
| CLocateVoxels3dLvl2 | Level 2 algorithm: Build the list of the coordinates of the voxels with a value of True in the input binary image |
| CLocateVoxels3dLvl3 | Level 3 algorithm: Build the list of the coordinates of the voxels with a value of True in the input binary image |
| CNormalizedCrossCorrelationMsr2dLvl1 | Level 1 algorithm: measures the global Normalized Cross-Correlation between two images |
| CNormalizedCrossCorrelationMsr2dLvl2 | Level 2 algorithm: measures the global Normalized Cross-Correlation between two images |
| CNormalizedCrossCorrelationMsr2dLvl3 | Level 3 algorithm: measures the global Normalized Cross-Correlation between two images |
| CNormalizedCrossCorrelationMsr3dLvl1 | Level 1 algorithm: measures the global Normalized Cross-Correlation between two 3D images |
| CNormalizedCrossCorrelationMsr3dLvl2 | Level 2 algorithm: measures the global Normalized Cross-Correlation between two 3D images |
| CNormalizedCrossCorrelationMsr3dLvl3 | Level 3 algorithm: measures the global Normalized Cross-Correlation between two 3D images |
| CParaboloidImgFit2dLvl1 | Level 1 algorithm: algorithm fitting intensities of a 2d image with a 3d paraboloid |
| CParaboloidImgFit2dLvl2 | Level 2 algorithm: algorithm fitting intensities of a 2d image with a 3d paraboloid |
| CParaboloidImgFit2dLvl3 | Level 3 algorithm: algorithm fitting intensities of a 2d image with a 3d paraboloid |
| CPearsonCorrelationCoefficient2dLvl1 | Level 1 algorithm: computes the Pearson correlation coefficient in the image |
| CPearsonCorrelationCoefficient2dLvl2 | Level 2 algorithm: computes the Pearson correlation coefficient in the image |
| CPearsonCorrelationCoefficient2dLvl3 | Level 3 algorithm: computes the Pearson correlation coefficient in the image |
| CPearsonCorrelationCoefficient3dLvl1 | Level 1 algorithm: computes the Pearson correlation coefficient in the 3d image |
| CPearsonCorrelationCoefficient3dLvl2 | Level 2 algorithm: computes the Pearson correlation coefficient in the 3d image |
| CPearsonCorrelationCoefficient3dLvl3 | Level 3 algorithm: computes the Pearson correlation coefficient in the 3d image |
| CSeqProjectionImgLvl1 | Level 1 algorithm: measure of common statistics indicators in the image (mean, max, etc.) computed along the sequence |
| CSeqProjectionImgLvl2 | Level 2 algorithm: measure of common statistics indicators in the image (mean, max, etc.) computed along the sequence |
| CSimilarityMsrLvl1 | Level 1 algorithm: measures of similarity between two images |
| CSimilarityMsrLvl2 | Level 2 algorithm: measures of similarity between two images |
| CSimilarityMsrLvl3 | Level 3 algorithm: measures of similarity between two images |
| CStatsMaskMsr2dLvl1 | Level 1 algorithm: measure of common statistics indicators (mean, max, etc.) in an image intersected with a mask for each 2d plan |
| CStatsMaskMsr2dLvl2 | Level 2 algorithm: measure of common statistics indicators (mean, max, etc.) in an image intersected with a mask for each 2d plan |
| CStatsMaskMsr2dLvl3 | Level 3 algorithm: measure of common statistics indicators (mean, max, etc.) in an image intersected with a mask for each 2d plan |
| CStatsMaskMsr3dLvl1 | Level 1 algorithm: measure of common statistics indicators in a 3d image (mean, max, etc.) intersected with a mask |
| CStatsMaskMsr3dLvl2 | Level 2 algorithm: measure of common statistics indicators in a 3d image (mean, max, etc.) intersected with a mask |
| CStatsMaskMsr3dLvl3 | Level 3 algorithm: measure of common statistics indicators in a 3d image (mean, max, etc.) intersected with a mask |
| CStatsMsr2dImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CStatsMsr2dLvl1 | Level 1 algorithm: measure of common statistics indicators in an image (mean, max, etc.) for each 2d plan |
| CStatsMsr2dLvl2 | Level 2 algorithm: measure of common statistics indicators in an image (mean, max, etc.) for each 2d plan |
| CStatsMsr2dLvl3 | Level 3 algorithm: measure of common statistics indicators in an image (mean, max, etc.) for each 2d plan |
| CStatsMsr3dImgGpuLvl3 | Level 2 algorithm on GPU for measure of common statistics indicators in the image (mean, max, etc.) |
| CStatsMsr3dLvl1 | Level 1 algorithm: StatsMsr3dLvl1 algorithm |
| CStatsMsr3dLvl2 | Level 2 algorithm: measure of common statistics indicators in a 3d image (mean, max, etc.) |
| CStatsMsr3dLvl3 | Level 3 algorithm: measure of common statistics indicators in a 3d image (mean, max, etc.) |
| CVolumePercent3dMsrLvl1 | Level 1 algorithm: Computes the ratio between the number of pivoxels and the total image size |
| CVolumePercent3dMsrLvl2 | Level 2 algorithm: Computes the ratio between the number of pivoxels and the total image size |
| CVolumePercent3dMsrLvl3 | Level 3 algorithm: Computes the ratio between the number of pivoxels and the total image size |
| CXProjection2dLvl1 | Level 1 algorithm: measure of common statistics indicators in the image (mean, max, etc.) computed along the Y direction |
| CYProjection2dLvl1 | Level 1 algorithm: measure of common statistics indicators in the image (mean, max, etc.) computed along the X direction |
| CZProjectionImgLvl1 | Level 1 algorithm: measure of common statistics indicators in the image 3d (mean, max, etc.) computed along Z axis |
| CZProjectionImgLvl2 | Level 2 algorithm: measure of common statistics indicators in the image 3d (mean, max, etc.) computed along Z axis |
| ▶Ngtrans | Namespace aggregating image geometric transformation processing algorithms |
| CElasticWarp2dImgLvl1 | Level 1 algorithm: Apply a generic motion field to an image |
| CElasticWarp2dImgLvl2 | Level 2 algorithm: Apply a generic motion field to an image |
| CElasticWarp2dImgLvl3 | Level 3 algorithm: Apply a generic motion field to an image Interpolation of the field pas along y |
| CFlipXImgLvl1 | Level 1 algorithm: Flips input image along x-axis |
| CFlipXImgLvl2 | Level 2 algorithm: Flips input image along x-axis |
| CFlipXImgLvl3 | Level 3 algorithm: Flips input image along x-axis |
| CFlipYImgLvl1 | Level 1 algorithm: Flips input image along y-axis |
| CFlipYImgLvl2 | Level 2 algorithm: Flips input image along y-axis |
| CFlipYImgLvl3 | Level 3 algorithm: Flips input image along y-axis |
| CFlipZImgLvl1 | Level 1 algorithm: flips input image along z-axis |
| CFlipZImgLvl2 | Level 2 algorithm: flips input image along z-axis |
| CFlipZImgLvl3 | Level 3 algorithm: flips input image along z-axis |
| CInWarpMotionTransform2d | [Input] motion transformation parameters associated to 2d warp operations |
| CInWarpMotionTransform3d | [Input] motion transformation parameters associated to 3d warp operations |
| CIPSDKIPLGeometricTransformException | Exception class for library IPSDKIPLGeometricTransform |
| CResampleCustomZStack3dImgLvl1 | Level 1 algorithm: Resamples along z-axis a 3d image with unregularly spaced z-plans |
| CResampleCustomZStack3dImgLvl2 | Level 2 algorithm: Resamples along z-axis a 3d image with unregularly spaced z-plans |
| CResampleCustomZStack3dImgLvl3 | Level 3 algorithm: Resamples along z-axis a 3d image with unregularly spaced z-plans |
| CResampleRegularZStack3dImgLvl1 | Level 1 algorithm: Resamples along z-axis a 3d image with regularly spaced z-plans |
| CUnrollCylinderImgLvl1 | Level 1 algorithm: Unrolls into an output 2d image the surface of a cylinder contained in an input 3d image |
| CUnrollCylinderImgLvl2 | Level 2 algorithm: Unrolls into an output 2d image the surface of a cylinder contained in an input 3d image |
| CUnrollCylinderImgLvl3 | Level 3 algorithm: Unrolls into an output 2d image the surface of a cylinder contained in an input 3d image |
| CUnrollRingImgLvl1 | Level 1 algorithm: ring surface unrolling |
| CUnrollRingImgLvl2 | Level 2 algorithm: ring surface unrolling |
| CUnrollRingImgLvl3 | Level 3 algorithm: ring surface unrolling |
| CWarp2dImgLvl1 | Level 1 algorithm: algorithm allowing to apply a motion transformation warping operation on a 2d image |
| CWarp2dImgLvl2 | Level 2 algorithm: algorithm allowing to apply a motion transformation warping operation on a 2d image |
| CWarp2dImgLvl3 | Level 3 algorithm: algorithm allowing to apply a motion transformation warping operation on a 2d image |
| CWarp3dImgLvl1 | Level 1 algorithm: algorithm allowing to apply a motion transformation warping operation on a 3d image |
| CWarp3dImgLvl2 | Level 2 algorithm: algorithm allowing to apply a motion transformation warping operation on a 3d image |
| CWarp3dImgLvl3 | Level 3 algorithm: algorithm allowing to apply a motion transformation warping operation on a 3d image |
| CZoom2dImgLvl1 | Level 1 algorithm for image 2d zoom algorithm |
| CZoom2dImgLvl2 | Level 2 algorithm for image 2d zoom algorithm |
| CZoom2dImgLvl3 | Level 3 algorithm for image 2d zoom algorithm using nearest neighbour method |
| CZoom3dImgLvl1 | Level 1 algorithm for image 3d zoom algorithm |
| CZoom3dImgLvl2 | Level 2 algorithm for image 3d zoom algorithm |
| CZoom3dImgLvl3 | Level 3 algorithm for image 3d zoom algorithm |
| ▶Nitrans | Namespace aggregating intensity transformations on images |
| CAdaptiveContrastEnhancement2dImgGpuLvl3 | Level 2 algorithm: Localy adjust the contrast of an image, dedicated to GPU calculation |
| CAdaptiveContrastEnhancement2dImgLvl1 | Level 1 algorithm: Localy adjust the contrast of an image |
| CAdaptiveContrastEnhancement2dImgLvl2 | Level 2 algorithm: Localy adjust the contrast of an image |
| CAdaptiveContrastEnhancement2dImgLvl3 | Level 3 algorithm: Localy adjust the contrast of an image |
| CAdaptiveContrastEnhancement3dImgGpuLvl3 | Level 2 algorithm: Localy adjust the contrast of an image, dedicated to GPU calculation |
| CAdaptiveContrastEnhancement3dImgLvl1 | Level 1 algorithm: Localy adjust the contrast of an image |
| CAdaptiveContrastEnhancement3dImgLvl2 | Level 2 algorithm: Localy adjust the contrast of an image |
| CAdaptiveContrastEnhancement3dImgLvl3 | Level 3 algorithm: Localy adjust the contrast of an image |
| CBackwardDiscreteFourierTransform2dImgLvl1 | Level 1 algorithm: Backward Discrete Fourier Transform for an input 2d image |
| CBackwardDiscreteFourierTransform3dImgLvl1 | Level 1 algorithm: Backward Discrete Fourier Transform for an input 3d image |
| CColorMapping2dImgLvl1 | Level 1 algorithm: application of a color map on an input grey image |
| CColorMapping2dImgLvl2 | Level 2 algorithm: application of a color map on an input grey image |
| CColorMapping3dImgLvl1 | Level 1 algorithm: application of a color map on an input 3D grey image |
| CColorMapping3dImgLvl2 | Level 2 algorithm: application of a color map on an input 3D grey image |
| CCompactIndexImgLvl1 | Level 1 algorithm: Re-indexes the labels (or class indices) in order to use a minimum range of values |
| CEqualize2dImgLvl1 | Level 1 algorithm: applies LUT resulting from histogram equalization on 2d plans of input image |
| CEqualize3dImgLvl1 | Level 1 algorithm: applies LUT resulting from histogram equalization on 3d volumes of input image |
| CEqualizeLvl1 | Level 1 algorithm: computation of LUT resulting from histogram equalization on input image |
| CForwardDFTImg | Structure allowing to agregate images associated to the result of a forward Discrete Fourier Transform computation |
| CForwardDiscreteFourierTransform2dImgLvl1 | Level 1 algorithm: forward Discrete Fourier Transform for an input 2d image |
| CForwardDiscreteFourierTransform3dImgLvl1 | Level 1 algorithm: forward Discrete Fourier Transform for an input 3d image |
| CInvert2dImgLvl1 | Level 1 algorithm: algorithm allowing to invert 2d image intensity |
| CInvert2dImgLvl2 | Level 2 algorithm: algorithm allowing to invert 2d image intensity |
| CInvert3dImgLvl1 | Level 1 algorithm: algorithm allowing to invert 3d image intensity |
| CInvert3dImgLvl2 | Level 2 algorithm: algorithm allowing to invert 3d image intensity |
| CIPSDKIPLIntensityTransformException | Exception class for library IPSDKIPLIntensityTransform |
| CLUTTransform2dImgLvl1 | Level 1 algorithm: application of a look-up table on an input image |
| CLUTTransform2dImgLvl2 | Level 2 algorithm: application of a look-up table on an input image |
| CLUTTransform2dImgLvl3 | Level 3 algorithm: application of a look-up table on an input image |
| CLUTTransform3dImgLvl1 | Level 1 algorithm: application of a look-up table on an input 3D image |
| CLUTTransform3dImgLvl2 | Level 2 algorithm: application of a look-up table on an input 3D image |
| CLUTTransform3dImgLvl3 | Level 3 algorithm: application of a look-up table on an input image |
| CMatchHistograms2dImgLvl1 | Level 1 algorithm: adjust image dynamic range from a reference using histograms matching |
| CMatchHistograms3dImgLvl1 | Level 1 algorithm: adjust image dynamic range from a reference using histograms matching |
| CMatchHistogramsLvl1 | Level 1 algorithm: compute the LUT that matches 2 histograms |
| CMatchStatsImgLvl1 | Level 1 algorithm: adjust image dynamic range from a reference using statistics matching |
| CNormalizeImgLvl1 | Level 1 algorithm: linear normalization of the intensity of an image |
| CNormalizeImgLvl2 | Level 2 algorithm: linear normalization of the intensity of an image |
| CNormalizeImgLvl3 | Level 3 algorithm: linear normalization of the intensity of an image |
| CParaboloidShadingCorrection2dImgLvl1 | Level 1 algorithm: Computes a shading-corrected image given a particular an offset and a factor, and a paraboloid model for the white image |
| CParaboloidShadingCorrection2dImgLvl2 | Level 2 algorithm: Computes a shading-corrected 2d image given a particular an offset and a factor, and a white image paraboloid model |
| CParaboloidShadingCorrection2dImgLvl3 | Level 3 algorithm: Computes a shading-corrected image given in particular an offset and a factor, and a white image paraboloid model |
| CShadingCorrectionImgLvl1 | Level 1 algorithm: Computes a shading-corrected image given in particular an offset and a factor |
| CShadingCorrectionImgLvl2 | Level 2 algorithm: Computes a shading-corrected image given in particular an offset and a factor |
| CShadingCorrectionImgLvl3 | Level 3 algorithm: Computes a shading-corrected image given in particular an offset and a factor |
| CSigmoidNormalizeImgLvl1 | Level 1 algorithm: Normalize the intensity of an image with a sigmoid |
| CSigmoidNormalizeImgLvl2 | Level 2 algorithm: Normalize the intensity of an image with a sigmoid |
| CSigmoidNormalizeImgLvl3 | Level 3 algorithm: Normalize the intensity of an image with a sigmoid |
| CSmartParaboloidShadingCorrection2dImgLvl1 | Level 1 algorithm: applies a paraboloid shading correction to an image, so that output image intensity fits an expected range |
| CSmartShadingCorrectionImgLvl1 | Level 1 algorithm: applies a shading correction to an image, so that output image intensity fits an expected range |
| CSmartShadingCorrectionInfo | Structure allowing to encaspulate offset and factor associated to smart shading correction |
| CSmartShadingCorrectionResult | Structure allowing to encaspulate smart shading correction results |
| CStandardizeImgLvl1 | Level 1 algorithm: Computes the z-score for each color plan and each frame |
| ▶Nla | Namespace aggregating pixelwise linear algebra calculations |
| CIPSDKIPLLinearAlgebraException | |
| CQRSolverImgGpuLvl3 | Level 2 algorithm: Solves an overdeterminated system Ax=b for each pixel using a QR decomposition, dedicated to GPU calculation |
| CQRSolverImgLvl1 | Level 1 algorithm: Solves an overdeterminated system Ax=b for each pixel using a QR decomposition |
| CQRSolverImgLvl2 | Level 2 algorithm: Solves an overdeterminated system Ax=b for each pixel using a QR decomposition |
| CQRSolverImgLvl3 | Level 3 algorithm: Solves an overdeterminated system Ax=b for each pixel using a QR decomposition |
| ▶Nlogic | Namespace aggregating bitwise operations on images, pixel by pixel |
| CBitwiseAndImgImgLvl1 | Level 1 algorithm: bitwise and on 2 images, pixel by pixel |
| CBitwiseAndImgImgLvl2 | Level 2 algorithm: bitwise and on 2 images, pixel by pixel |
| CBitwiseAndImgImgLvl3 | Level 3 algorithm: bitwise and on 2 images, pixel by pixel |
| CBitwiseNAndImgImgLvl1 | Level 1 algorithm: bitwise nand on 2 images, pixel by pixel |
| CBitwiseNAndImgImgLvl2 | Level 2 algorithm: bitwise nand on 2 images, pixel by pixel |
| CBitwiseNAndImgImgLvl3 | Level 3 algorithm: bitwise nand on 2 images, pixel by pixel |
| CBitwiseNOrImgImgLvl1 | Level 1 algorithm: bitwise nor on 2 images, pixel by pixel |
| CBitwiseNOrImgImgLvl2 | Level 2 algorithm: bitwise nor on 2 images, pixel by pixel |
| CBitwiseNOrImgImgLvl3 | Level 3 algorithm: bitwise nor on 2 images, pixel by pixel |
| CBitwiseNotImgLvl1 | Level 1 algorithm: bitwise not on one image, pixel by pixel |
| CBitwiseNotImgLvl2 | Level 2 algorithm: bitwise not on one image, pixel by pixel |
| CBitwiseNotImgLvl3 | Level 3 algorithm: bitwise not on one image, pixel by pixel |
| CBitwiseNXOrImgImgLvl1 | Level 1 algorithm: bitwise nxor operation on 2 images |
| CBitwiseNXOrImgImgLvl2 | Level 2 algorithm: bitwise nxor operation on 2 images |
| CBitwiseNXOrImgImgLvl3 | Level 3 algorithm: bitwise nxor operation on 2 images |
| CBitwiseOrImgImgLvl1 | Level 1 algorithm: bitwise or operation on 2 images |
| CBitwiseOrImgImgLvl2 | Level 2 algorithm: bitwise or operation on 2 images |
| CBitwiseOrImgImgLvl3 | Level 3 algorithm: bitwise or operation on 2 images |
| CBitwiseSubImgImgLvl1 | Level 1 algorithm: Subtract two binary image to remove pixels in the image 2 from the image 1 |
| CBitwiseSubImgImgLvl2 | Level 2 algorithm: Subtract two binary image to remove pixels in the image 2 from the image 1 |
| CBitwiseSubImgImgLvl3 | Level 3 algorithm: Subtract two binary image to remove pixels in the image 2 from the image 1 |
| CBitwiseXOrImgImgLvl1 | Level 1 algorithm: bitwise exlusive or on 2 images, pixel by pixel |
| CBitwiseXOrImgImgLvl2 | Level 2 algorithm: bitwise exlusive or on 2 images, pixel by pixel |
| CBitwiseXOrImgImgLvl3 | Level 3 algorithm: bitwise exlusive or operation on 2 images |
| CIPSDKIPLLogicalException | Exception class for library IPSDKIPLLogical |
| CLogicalNotImgLvl1 | Level 1 algorithm: Logical not of a binary input image |
| CLogicalNotImgLvl2 | Level 2 algorithm: Logical not of a binary input image |
| CLogicalNotImgLvl3 | Level 3 algorithm: Logical not of a binary input image |
| CMaskImgImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CMaskImgImgLvl1 | Level 1 algorithm: Mask filter, computing an output image for which each pixel equals to corresponding pixel in either first or second input image, depending on whether corresponding input mask image pixel equals 1 or 0 |
| CMaskImgImgLvl3 | Level 3 algorithm: Mask filter, computing an output image for which each pixel equals to corresponding pixel in either first or second input image, depending on whether corresponding input mask image pixel equals 1 or 0 |
| CMaskImgLvl1 | Level 1 algorithm: Mask filter, computing an output image for which each pixel equals to either corresponding pixel in input image or 0, depending on whether corresponding input mask image pixel equals 1 or 0 |
| CMaskImgLvl3 | Level 3 algorithm: Mask filter, computing an output image for which each pixel equals to either corresponding pixel in input image or 0, depending on whether corresponding input mask image pixel equals 1 or 0 |
| ▶Nml | Namespace aggregating machine learning operations on images |
| CAutomaticPixelClassificationRFResult | Structure allowing to encaspulate output image and output parameters computed by the pixel classification Random Forest algorithm (2d and 3d) |
| CIPSDKIPLMachineLearningException | Exception class for library IPSDKIPLMachineLearning |
| CPixelClassificationRFImgLvl1 | Level 1 algorithm: Compute Random Forest pixel classification |
| CPixelClassificationRFResult | |
| ▶Nmorpho | Namespace aggregating morphological operations on images |
| CAddMarkerImgLvl1 | Level 1 algorithm: Assign a new label value to the pixels determined by the input binary image |
| CAddMarkerImgLvl2 | Level 2 algorithm: Assign a new label value to the pixels determined by the input binary image |
| CAddMarkerImgLvl3 | Level 3 algorithm: Assign a new label value to the pixels determined by the input binary image |
| CBoundary2dImgLvl1 | Level 1 algorithm: Algorithm allowing to extract boundary of a binary 2d image |
| CBoundary2dImgLvl2 | Level 2 algorithm: Algorithm allowing to extract boundary of a binary 2d image |
| CBoundary2dImgLvl3 | Level 3 algorithm: Algorithm allowing to extract boundary of a binary 2d image |
| CBoundary3dImgLvl1 | Level 1 algorithm: Algorithm allowing to extract boundary of a binary 3d image |
| CBoundary3dImgLvl2 | Level 2 algorithm: Algorithm allowing to extract boundary of a binary 3d image |
| CBoundary3dImgLvl3 | Level 3 algorithm: Algorithm allowing to extract boundary of a binary 3d image |
| CCheckMultiphasedNeighourhood2dImgLvl1 | Level 1 algorithm: Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| CCheckMultiphasedNeighourhood2dImgLvl2 | Level 2 algorithm: Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| CCheckMultiphasedNeighourhood2dImgLvl3 | Level 3 algorithm: Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| CCheckMultiphasedNeighourhood3dImgLvl1 | Level 1 algorithm: Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| CCheckMultiphasedNeighourhood3dImgLvl2 | Level 2 algorithm: Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| CCheckMultiphasedNeighourhood3dImgLvl3 | Level 3 algorithm: Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| CClosing2dImgLvl1 | Level 1 algorithm: Algorithm for image 2d closing |
| CClosing3dImgLvl1 | Level 1 algorithm: Algorithm for image 3d closing |
| CDilate2dImgLvl1 | Level 1 algorithm: Algorithm for image 2d dilation |
| CDilate3dImgLvl1 | Level 1 algorithm: Algorithm for image 3d dilation |
| CDistanceMap2dImgGpuLvl3 | Level 2 algorithm: distance map transform of an input binary image |
| CDistanceMap2dImgLvl1 | Level 1 algorithm: distance map transform of an input binary image |
| CDistanceMap2dImgLvl2 | Level 2 algorithm: distance map transform of an input binary image |
| CDistanceMap3dImgGpuLvl3 | Level 2 algorithm: distance map transform of an input binary image |
| CDistanceMap3dImgLvl1 | Level 1 algorithm: distance map transform of an input binary 3d image |
| CDistanceMap3dImgLvl2 | Level 2 algorithm: distance map transform of an input binary 3d image |
| ▶CDistanceMap3dImgLvl3 | Level 3 algorithm: distance map transform of an input binary 3d image |
| CDistInfo | Structure encapsulating distance informations |
| CErode2dImgLvl1 | Level 1 algorithm: Algorithm for image 2d erosion |
| CErode3dImgLvl1 | Level 1 algorithm: Algorithm for image 3d erosion |
| CHitAndMiss2dImgLvl1 | Level 1 algorithm: Look for particular patterns of foreground and background given as structuring elements |
| CHitAndMiss2dImgLvl2 | Level 2 algorithm: Look for particular patterns of foreground and background given as structuring elements |
| CHitAndMiss2dImgLvl3 | Level 3 algorithm: Look for particular patterns of foreground and background given as structuring elements |
| CHitAndMiss3dImgLvl1 | Level 1 algorithm: Look for 3D particular patterns of foreground and background given as structuring elements |
| CHitAndMiss3dImgLvl2 | Level 2 algorithm: Look for 3D particular patterns of foreground and background given as structuring elements |
| CHitAndMiss3dImgLvl3 | Level 3 algorithm: Look for 3D particular patterns of foreground and background given as structuring elements |
| CIPSDKIPLBasicMorphologyException | Exception class for library IPSDKIPLBasicMorphology |
| CMLD2dElement | Multi level decomposition 2d element |
| CMLD3dElement | Multi level decomposition 3d element |
| CMorphoGradient2dImgLvl1 | Level 1 algorithm: gradient computation on a 2d image using morphological operations |
| CMorphoGradient3dImgLvl1 | Level 1 algorithm: gradient computation on a 3d image using morphological operations |
| COpening2dImgLvl1 | Level 1 algorithm: Algorithm for image 2d opening |
| COpening3dImgLvl1 | Level 1 algorithm: Algorithm for image 3d opening |
| CPruning2dImgLvl1 | Level 1 algorithm: Reduces skeleton branches. If enough iterations are processed, the branches are completely removed |
| CPruning2dImgLvl2 | Level 2 algorithm: Reduces skeleton branches. If enough iterations are processed, the branches are completely removed |
| CPruning2dImgLvl3 | Level 3 algorithm: Reduces skeleton branches. If enough iterations are processed, the branches are completely removed |
| CPruning3dImgLvl1 | Level 1 algorithm: Reduces 3D skeleton branches. If enough iterations are processed, the branches are completely removed |
| CPruning3dImgLvl2 | Level 2 algorithm: Reduces 3D skeleton branches. If enough iterations are processed, the branches are completely removed |
| CPruning3dImgLvl3 | Level 3 algorithm: Reduces 3D skeleton branches. If enough iterations are processed, the branches are completely removed |
| CSkeleton2dImgLvl1 | Level 1 algorithm: computes the 2d skeleton image from a binary image |
| CSkeleton3dImgLvl1 | Level 1 algorithm: computes the 3d skeleton image from a binary image |
| CUnionLinearClosing2dImgLvl1 | Level 1 algorithm: Union of closings calculated for several linear structuring element orientations |
| CUnionLinearClosing3dImgLvl1 | Level 1 algorithm: Union of closings calculated for several linear structuring element orientations on 3d images |
| CUnionLinearOpening2dImgLvl1 | Level 1 algorithm: Union of opening calculated for several linear structuring element orientations |
| CUnionLinearOpening3dImgLvl1 | Level 1 algorithm: Union of openings calculated for several linear structuring element orientations on 3d images |
| ▶Nregistration | Namespace aggregating image registration processing algorithms |
| CDeepFlow2dImgLvl1 | Level 1 algorithm: Computes a dense optical flow occurred between two input images |
| CExtractGreySignedFeatures2dLvl1 | Level 1 algorithm: algorithm allowing to extract 2d features associated to a grey signature from an image |
| CExtractGreySignedFeatures2dLvl2 | Level 2 algorithm: algorithm allowing to extract 2d features associated to a grey signature from an image |
| CExtractGreySignedFeatures3dLvl1 | Level 1 algorithm: algorithm allowing to extract 3d features associated to a grey signature from an image |
| CExtractGreySignedFeatures3dLvl2 | Level 2 algorithm: algorithm allowing to extract 3d features associated to a grey signature from an image |
| CGreySignedFeatures2dRegistrationImgLvl1 | Level 1 algorithm: Apply to the first input image the transform estimated between the two input images using ExtractGreySignedFeatures2d |
| CGreySignedFeatures2dRegistrationImgLvl2 | Level 2 algorithm: Apply to the first input image the transform estimated between the two input images using ExtractGreySignedFeatures2d |
| CGreySignedFeatures2dRegistrationLvl1 | Level 1 algorithm: algorithm allowing registration of features 2d associated to grey signature |
| CGreySignedFeatures3dRegistrationLvl1 | Level 1 algorithm: algorithm allowing registration of features 3d associated to grey signature |
| CGreySignedFeaturesImg2dRegistrationLvl1 | Level 1 algorithm: algorithm allowing registration of 2d images using features associated to grey signature |
| CGreySignedFeaturesImg3dRegistrationLvl1 | Level 1 algorithm: algorithm allowing registration of 3d images using features associated to grey signature |
| CGSFRegistrationImg2dResult | |
| CIntensityBasedRegistration2dTrackingStepLvl1 | Level 1 algorithm: tracking stage for intensity based registration 2d algorithm |
| CIntensityBasedRegistration2dTrainingStepLvl1 | Level 1 algorithm: training stage for intensity based registration 2d algorithm |
| CIntensityBasedRegistrationData | Structure allowing to encaspulate intensity based registration data |
| CIntensityBasedTracker2dLvl1 | Level 1 algorithm: intensity based registration tracker 2d algorithm |
| CIPSDKIPLRegistrationException | Exception class for library IPSDKIPLRegistration |
| CPlanIndexedStackRegistrationResult | Structure allowing to encaspulate stack registration results |
| CStackRegistrationImgLvl1 | Level 1 algorithm: Registration of the slices in a 3D stack using grey signed features and taking into account a cumulative angular bias |
| CStackRegistrationImgLvl2 | Level 2 algorithm: Registration of the slices in a 3D stack using grey signed features and taking into account a cumulative angular bias |
| CStackRegistrationResult | Structure allowing to encaspulate stack registration results |
| ▶Nshape | |
| ▶Nanalysis | Namespace aggregating shape analysis image processing algorithms |
| CArea2dMsr | Measurement object for measure Area2d |
| CArea2dMsrInfo | Information object for measure Area2d |
| CArea3dMsr | Measurement object for measure Area3d |
| CArea3dMsrInfo | Information object for measure Area3d |
| CArithmeticFormulaMsr | Measurement object for measure ArithmeticFormula |
| CArithmeticFormulaMsrInfo | Information object for measure ArithmeticFormula |
| CArithmeticFormulaMsrParams | Parameter object for measure ArithmeticFormula |
| CAspectRatioMsr | Measurement object for measure AspectRatio |
| CAspectRatioMsrInfo | Information object for measure AspectRatio |
| CAspectRatioMsrParams | Parameter object for measure AspectRatio |
| CBarycenter2dMsr | Measurement object for measure Barycenter2d |
| CBarycenter2dMsrInfo | Information object for measure Barycenter2d |
| CBarycenter2dMsrResults | Measurement results object for measure Barycenter2d |
| CBarycenter3dMsr | Measurement object for measure Barycenter3d |
| CBarycenter3dMsrInfo | Information object for measure Barycenter3d |
| CBarycenter3dMsrResults | Measurement results object for measure Barycenter3d |
| CBarycenterXMsr | Measurement object for measure BarycenterX |
| CBarycenterXMsrInfo | Information object for measure BarycenterX |
| CBarycenterYMsr | Measurement object for measure BarycenterY |
| CBarycenterYMsrInfo | Information object for measure BarycenterY |
| CBarycenterZMsr | Measurement object for measure BarycenterZ |
| CBarycenterZMsrInfo | Information object for measure BarycenterZ |
| CBoundingBoxCenterXMsr | Measurement object for measure BoundingBoxCenterX |
| CBoundingBoxCenterXMsrInfo | Information object for measure BoundingBoxCenterX |
| CBoundingBoxCenterYMsr | Measurement object for measure BoundingBoxCenterY |
| CBoundingBoxCenterYMsrInfo | Information object for measure BoundingBoxCenterY |
| CBoundingBoxCenterZMsr | Measurement object for measure BoundingBoxCenterZ |
| CBoundingBoxCenterZMsrInfo | Information object for measure BoundingBoxCenterZ |
| CBoundingBoxMaxXMsr | Measurement object for measure BoundingBoxMaxX |
| CBoundingBoxMaxXMsrInfo | Information object for measure BoundingBoxMaxX |
| CBoundingBoxMaxYMsr | Measurement object for measure BoundingBoxMaxY |
| CBoundingBoxMaxYMsrInfo | Information object for measure BoundingBoxMaxY |
| CBoundingBoxMaxZMsr | Measurement object for measure BoundingBoxMaxZ |
| CBoundingBoxMaxZMsrInfo | Information object for measure BoundingBoxMaxZ |
| CBoundingBoxMinXMsr | Measurement object for measure BoundingBoxMinX |
| CBoundingBoxMinXMsrInfo | Information object for measure BoundingBoxMinX |
| CBoundingBoxMinYMsr | Measurement object for measure BoundingBoxMinY |
| CBoundingBoxMinYMsrInfo | Information object for measure BoundingBoxMinY |
| CBoundingBoxMinZMsr | Measurement object for measure BoundingBoxMinZ |
| CBoundingBoxMinZMsrInfo | Information object for measure BoundingBoxMinZ |
| CBoundingBoxSizeXMsr | Measurement object for measure BoundingBoxSizeX |
| CBoundingBoxSizeXMsrInfo | Information object for measure BoundingBoxSizeX |
| CBoundingBoxSizeYMsr | Measurement object for measure BoundingBoxSizeY |
| CBoundingBoxSizeYMsrInfo | Information object for measure BoundingBoxSizeY |
| CBoundingBoxSizeZMsr | Measurement object for measure BoundingBoxSizeZ |
| CBoundingBoxSizeZMsrInfo | Information object for measure BoundingBoxSizeZ |
| CCircle2dMsrResults | Measurement results object for measure associated to Circle2d |
| CCircularity2dMsr | Measurement object for measure Circularity2d |
| CCircularity2dMsrInfo | Information object for measure Circularity2d |
| CConvexHullArea2dMsr | Measurement object for measure ConvexHullArea2d |
| CConvexHullArea2dMsrInfo | Information object for measure ConvexHullArea2d |
| CConvexHullArea3dMsr | Measurement object for measure ConvexHullArea3d |
| CConvexHullArea3dMsrInfo | Information object for measure ConvexHullArea3d |
| CConvexHullPerimeter2dMsr | Measurement object for measure ConvexHullPerimeter2d |
| CConvexHullPerimeter2dMsrInfo | Information object for measure ConvexHullPerimeter2d |
| CConvexHullVolume3dMsr | Measurement object for measure ConvexHullVolume3d |
| CConvexHullVolume3dMsrInfo | Information object for measure ConvexHullVolume3d |
| CConvexityMsr | Measurement object for measure Convexity |
| CConvexityMsrInfo | Information object for measure Convexity |
| CDegreeOfAngularity2dMsr | Measurement object for measure DegreeOfAngularity2d |
| CDegreeOfAngularity2dMsrInfo | Information object for measure DegreeOfAngularity2d |
| CDisparityAngularity2dMsr | Measurement object for measure DisparityAngularity2d |
| CDisparityAngularity2dMsrInfo | Information object for measure DisparityAngularity2d |
| CDisparityAngularity2dMsrParams | Parameter object for measure DisparityAngularity2d |
| CDistanceToNearestBarycenter2dMsr | Measurement object for measure DistanceToNearestBarycenter2d |
| CDistanceToNearestBarycenter2dMsrInfo | Information object for measure DistanceToNearestBarycenter2d |
| CDistanceToNearestBarycenter3dMsr | Measurement object for measure DistanceToNearestBarycenter3d |
| CDistanceToNearestBarycenter3dMsrInfo | Information object for measure DistanceToNearestBarycenter3d |
| CDistanceToNearestNeighbor2dMsr | Measurement object for measure DistanceToNearestNeighbor2d |
| CDistanceToNearestNeighbor2dMsrInfo | Information object for measure DistanceToNearestNeighbor2d |
| CDistanceToNearestNeighbor3dMsr | Measurement object for measure DistanceToNearestNeighbor3d |
| CDistanceToNearestNeighbor3dMsrInfo | Information object for measure DistanceToNearestNeighbor3d |
| CEccentricity2dMsr | Measurement object for measure Eccentricity2d |
| CEccentricity2dMsrInfo | Information object for measure Eccentricity2d |
| CEdgeAngularity2dMsr | Measurement object for measure EdgeAngularity2d |
| CEdgeAngularity2dMsrInfo | Information object for measure EdgeAngularity2d |
| CEnergyMsr | Measurement object for measure Energy |
| CEnergyMsrInfo | Information object for measure Energy |
| CEnergyMsrParams | Parameter object for measure Energy |
| CEntropyMsr | Measurement object for measure Entropy |
| CEntropyMsrInfo | Information object for measure Entropy |
| CEntropyMsrParams | Parameter object for measure Entropy |
| CEquivalentDiameterMsr | Measurement object for measure EquivalentDiameter |
| CEquivalentDiameterMsrInfo | Information object for measure EquivalentDiameter |
| CEquivalentRayMsr | Measurement object for measure EquivalentRay |
| CEquivalentRayMsrInfo | Information object for measure EquivalentRay |
| CExtentMsr | Measurement object for measure Extent |
| CExtentMsrInfo | Information object for measure Extent |
| CFeretDiameter2dMsr | Measurement object for measure FeretDiameter2d |
| CFeretDiameter2dMsrInfo | Information object for measure FeretDiameter2d |
| CFeretDiameter2dMsrParams | Parameter object for measure FeretDiameter2d |
| CFeretDiameter3dMsr | Measurement object for measure FeretDiameter3d |
| CFeretDiameter3dMsrInfo | Information object for measure FeretDiameter3d |
| CFeretDiameter3dMsrParams | Parameter object for measure FeretDiameter3d |
| CFirstPixel2dMsr | Measurement object for measure FirstPixel2d |
| CFirstPixel2dMsrInfo | Information object for measure FirstPixel2d |
| CFirstPixel2dMsrResults | Measurement results object for measure FirstPixel2d |
| CFirstPixel3dMsr | Measurement object for measure FirstPixel3d |
| CFirstPixel3dMsrInfo | Information object for measure FirstPixel3d |
| CFirstPixel3dMsrResults | Measurement results object for measure FirstPixel3d |
| CFirstPixelXMsr | Measurement object for measure FirstPixelX |
| CFirstPixelXMsrInfo | Information object for measure FirstPixelX |
| CFirstPixelYMsr | Measurement object for measure FirstPixelY |
| CFirstPixelYMsrInfo | Information object for measure FirstPixelY |
| CFirstPixelZMsr | Measurement object for measure FirstPixelZ |
| CFirstPixelZMsrInfo | Information object for measure FirstPixelZ |
| CFlatnessPeakMsr | Measurement object for measure FlatnessPeak |
| CFlatnessPeakMsrInfo | Information object for measure FlatnessPeak |
| CFlatnessTotalMsr | Measurement object for measure FlatnessTotal |
| CFlatnessTotalMsrInfo | Information object for measure FlatnessTotal |
| CFlatnessValleyMsr | Measurement object for measure FlatnessValley |
| CFlatnessValleyMsrInfo | Information object for measure FlatnessValley |
| CGaussGrad2dPreProcessorConfig | Configuration object allowing computation of a component of gaussian gradient as pre processing of shape analysis input image |
| CGaussGrad3dPreProcessorConfig | Configuration object allowing computation of a component of gaussian gradient as pre processing of shape analysis input image |
| CGradientAngularityIndex2dMsr | Measurement object for measure GradientAngularityIndex2d |
| CGradientAngularityIndex2dMsrInfo | Information object for measure GradientAngularityIndex2d |
| CGreyBarycenterMsr | Measurement object for measure GreyBarycenter |
| CGreyBarycenterMsrInfo | Information object for measure GreyBarycenter |
| CGreyBarycenterMsrResults | Measurement results object for measure GreyBarycenter |
| CGreyBarycenterXMsr | Measurement object for measure GreyBarycenterX |
| CGreyBarycenterXMsrInfo | Information object for measure GreyBarycenterX |
| CGreyBarycenterYMsr | Measurement object for measure GreyBarycenterY |
| CGreyBarycenterYMsrInfo | Information object for measure GreyBarycenterY |
| CGreyBarycenterZMsr | Measurement object for measure GreyBarycenterZ |
| CGreyBarycenterZMsrInfo | Information object for measure GreyBarycenterZ |
| CGreyInertia3dNormalOrientationPhiMsr | Measurement object for measure GreyInertia3dNormalOrientationPhi |
| CGreyInertia3dNormalOrientationPhiMsrInfo | Information object for measure GreyInertia3dNormalOrientationPhi |
| CGreyInertia3dNormalOrientationThetaMsr | Measurement object for measure GreyInertia3dNormalOrientationTheta |
| CGreyInertia3dNormalOrientationThetaMsrInfo | Information object for measure GreyInertia3dNormalOrientationTheta |
| CGreyInertia3dOrientationPhiMsr | Measurement object for measure GreyInertia3dOrientationPhi |
| CGreyInertia3dOrientationPhiMsrInfo | Information object for measure GreyInertia3dOrientationPhi |
| CGreyInertia3dOrientationThetaMsr | Measurement object for measure GreyInertia3dOrientationTheta |
| CGreyInertia3dOrientationThetaMsrInfo | Information object for measure GreyInertia3dOrientationTheta |
| CGreyInertiaData | |
| CGreyInertiaLambdaInterMsr | Measurement object for measure GreyInertiaLambdaInter |
| CGreyInertiaLambdaInterMsrInfo | Information object for measure GreyInertiaLambdaInter |
| CGreyInertiaLambdaMaxMsr | Measurement object for measure GreyInertiaLambdaMax |
| CGreyInertiaLambdaMaxMsrInfo | Information object for measure GreyInertiaLambdaMax |
| CGreyInertiaLambdaMinMsr | Measurement object for measure GreyInertiaLambdaMin |
| CGreyInertiaLambdaMinMsrInfo | Information object for measure GreyInertiaLambdaMin |
| CGreyInertiaMsr | Measurement object for measure GreyInertia |
| CGreyInertiaMsrInfo | Information object for measure GreyInertia |
| CGreyInertiaMsrResults | Measurement results object for measure GreyInertia |
| CGreyInertiaOrientation2dMsr | Measurement object for measure GreyInertiaOrientation2d |
| CGreyInertiaOrientation2dMsrInfo | Information object for measure GreyInertiaOrientation2d |
| CGreyInertiaOrientationAlphaMsr | Measurement object for measure GreyInertiaOrientationAlpha |
| CGreyInertiaOrientationAlphaMsrInfo | Information object for measure GreyInertiaOrientationAlpha |
| CGreyInertiaOrientationBetaMsr | Measurement object for measure GreyInertiaOrientationBeta |
| CGreyInertiaOrientationBetaMsrInfo | Information object for measure GreyInertiaOrientationBeta |
| CGreyInertiaOrientationChiMsr | Measurement object for measure GreyInertiaOrientationChi |
| CGreyInertiaOrientationChiMsrInfo | Information object for measure GreyInertiaOrientationChi |
| CGreyMomentsData | Storage class for grey moments data |
| CGreyMomentsMsr | Measurement object for measure GreyMoments |
| CGreyMomentsMsrInfo | Information object for measure GreyMoments |
| CGreyMomentsMsrResults | Measurement results object for measure GreyMoments |
| CHistogramMostPopulatedGLMsr | Measurement object for measure HistogramMostPopulatedGL |
| CHistogramMostPopulatedGLMsrInfo | Information object for measure HistogramMostPopulatedGL |
| CHistogramMostPopulatedGLMsrParams | Parameter object for measure HistogramMostPopulatedGL |
| CHistogramMsr | Measurement object for measure Histogram |
| CHistogramMsrInfo | Information object for measure Histogram |
| CHistogramMsrParams | Parameter object for measure Histogram |
| CHistogramMsrResults | Measurement results object for measure Histogram |
| CHistogramPopulationMaxMsr | Measurement object for measure HistogramPopulationMax |
| CHistogramPopulationMaxMsrInfo | Information object for measure HistogramPopulationMax |
| CHistogramPopulationMaxMsrParams | Parameter object for measure HistogramPopulationMax |
| CHistogramQuantileMsr | Measurement object for measure HistogramQuantile |
| CHistogramQuantileMsrInfo | Information object for measure HistogramQuantile |
| CHistogramQuantileMsrParams | Parameter object for measure HistogramQuantile |
| CHolesBasicPolicyMsrParams | Parameter object for measures needing a basic hole processing policy |
| CHuDistance2dMsr | Measurement object for measure HuDistance2d |
| CHuDistance2dMsrInfo | Information object for measure HuDistance2d |
| CHuDistance2dMsrParams | Parameter object for measure HuDistance2d |
| CHuMatch2dMsr | Measurement object for measure HuMatch2d |
| CHuMatch2dMsrInfo | Information object for measure HuMatch2d |
| CHuMatch2dMsrParams | Parameter object for measure HuMatch2d |
| CHuMoments2dMsr | Measurement object for measure HuMoments2d |
| CHuMoments2dMsrInfo | Information object for measure HuMoments2d |
| CHuMoments2dMsrResults | Measurement results object for measure HuMoments2d |
| CImageBordersContact | Structure allowing to indicate image borders contact |
| CImageBordersContact2dMsr | Measurement object for measure ImageBordersContact2d |
| CImageBordersContact2dMsrInfo | Information object for measure ImageBordersContact2d |
| CImageBordersContact3dMsr | Measurement object for measure ImageBordersContact3d |
| CImageBordersContact3dMsrInfo | Information object for measure ImageBordersContact3d |
| CImageBordersContactMsrResults | Measurement results object for measure ImageBordersContact |
| CImageRatioMsr | Measurement object for measure ImageRatio |
| CImageRatioMsrInfo | Information object for measure ImageRatio |
| CInertia2dData | |
| CInertia2dMsr | Measurement object for measure Inertia2d |
| CInertia2dMsrInfo | Information object for measure Inertia2d |
| CInertia2dMsrResults | Measurement results object for measure Inertia2d |
| CInertia3dData | Class used to store data associated to inertia 3D matrix |
| CInertia3dLambdaInterMsr | Measurement object for measure InertiaLambdaInter |
| CInertia3dLambdaInterMsrInfo | Information object for measure Inertia3dLambdaInter |
| CInertia3dMsr | Measurement object for measure Inertia3d |
| CInertia3dMsrInfo | Information object for measure Inertia3d |
| CInertia3dMsrResults | Measurement results object for measure Inertia3d |
| CInertia3dNormalOrientationPhiMsr | Measurement object for measure Inertia3dNormalOrientationPhi |
| CInertia3dNormalOrientationPhiMsrInfo | Information object for measure Inertia3dNormalOrientationPhi |
| CInertia3dNormalOrientationThetaMsr | Measurement object for measure Inertia3dNormalOrientationTheta |
| CInertia3dNormalOrientationThetaMsrInfo | Information object for measure Inertia3dNormalOrientationTheta |
| CInertia3dOrientationAlphaMsr | Measurement object for measure InertiaOrientationAlpha |
| CInertia3dOrientationAlphaMsrInfo | Information object for measure Inertia3dOrientationAlpha |
| CInertia3dOrientationBetaMsr | Measurement object for measure InertiaOrientationBeta |
| CInertia3dOrientationBetaMsrInfo | Information object for measure Inertia3dOrientationBeta |
| CInertia3dOrientationChiMsr | Measurement object for measure InertiaOrientationChi |
| CInertia3dOrientationChiMsrInfo | Information object for measure Inertia3dOrientationChi |
| CInertia3dOrientationPhiMsr | Measurement object for measure Inertia3dOrientationPhi |
| CInertia3dOrientationPhiMsrInfo | Information object for measure Inertia3dOrientationPhi |
| CInertia3dOrientationThetaMsr | Measurement object for measure Inertia3dOrientationTheta |
| CInertia3dOrientationThetaMsrInfo | Information object for measure Inertia3dOrientationTheta |
| CInertiaLambdaMaxMsr | Measurement object for measure InertiaLambdaMax |
| CInertiaLambdaMaxMsrInfo | Information object for measure InertiaLambdaMax |
| CInertiaLambdaMinMsr | Measurement object for measure InertiaLambdaMin |
| CInertiaLambdaMinMsrInfo | Information object for measure InertiaLambdaMin |
| CInertiaOrientation2dMsr | Measurement object for measure InertiaOrientation2d |
| CInertiaOrientation2dMsrInfo | Information object for measure InertiaOrientation2d |
| CInOptGreyMsrImg1 | [Input Optional] first grey image used for intensity measurements |
| CInOptGreyMsrImg2 | [Input Optional] second grey image used for intensity measurements |
| CInOptGreyMsrImg3 | [Input Optional] thirid grey image used for intensity measurements |
| CInOptGreyMsrImg3d1 | [Input Optional] first grey image3d used for intensity measurements |
| CInOptGreyMsrImg3d2 | [Input Optional] second grey image3d used for intensity measurements |
| CInOptGreyMsrImg3d3 | [Input Optional] third grey image3d used for intensity measurements |
| CInOptGreyMsrImg3d4 | [Input Optional] fourth grey image3d used for intensity measurements |
| CInOptGreyMsrImg4 | [Input Optional] fourth grey image used for intensity measurements |
| CInOptLabelsShape2d2 | [Input Optional] second collection of shape 2d associated to labels |
| CInOptLabelsShape2d3 | [Input Optional] third collection of shape 2d associated to labels |
| CInOptLabelsShape2d4 | [Input Optional] fourth collection of shape 2d associated to labels |
| CInOptLabelsShape3d2 | [Input Optional] second collection of shape 3d associated to labels |
| CInOptLabelsShape3d3 | [Input Optional] third collection of shape 3d associated to labels |
| CInOptLabelsShape3d4 | [Input Optional] fourth collection of shape 3d associated to labels |
| CInOptPILabelsShape2d2 | [Input Optional] second plan indexed collection of shape 2d associated to labels |
| CInOptPILabelsShape2d3 | [Input Optional] third plan indexed collection of shape 2d associated to labels |
| CInOptPILabelsShape2d4 | [Input Optional] fourth plan indexed collection of shape 2d associated to labels |
| CInOptPILabelsShape3d2 | [Input Optional] second plan indexed collection of shape 3d associated to labels |
| CInOptPILabelsShape3d3 | [Input Optional] third plan indexed collection of shape 3d associated to labels |
| CInOptPILabelsShape3d4 | [Input Optional] fourth plan indexed collection of shape 3d associated to labels |
| CInOptSubColorOrGreyImg2d1 | [Input Optional] first color or grey image 2d for processing operation |
| CInOptSubColorOrGreyImg2d2 | [Input Optional] second color or grey image 2d for processing operation |
| CInOptSubColorOrGreyImg2d3 | [Input Optional] third color or grey image 2d for processing operation |
| CInOptSubColorOrGreyImg2d4 | [Input Optional] fourth color or grey image 2d for processing operation |
| CInOptSubColorOrGreyImg3d1 | [Input Optional] first color or grey image 3d for processing operation |
| CInOptSubColorOrGreyImg3d2 | [Input Optional] second color or grey image 3d for processing operation |
| CInOptSubColorOrGreyImg3d3 | [Input Optional] third color or grey image 3d for processing operation |
| CInOptSubColorOrGreyImg3d4 | [Input Optional] fourth color or grey image 3d for processing operation |
| CIPSDKIPLShapeAnalysisException | Exception class for library IPSDKIPLShapeAnalysis |
| CKurtosisMsr | Measurement object for measure Kurtosis |
| CKurtosisMsrInfo | Information object for measure Kurtosis |
| CLabelAnalysis2dLvl1 | Level 1 algorithm: Connected component 2d analysis and measurement algorithm |
| CLabelAnalysis3dLvl1 | Level 1 algorithm: Connected component 3d analysis and measurement algorithm |
| CLeastSquareBallCenterXMsr | Measurement object for measure LeastSquareBallCenterX |
| CLeastSquareBallCenterXMsrInfo | Information object for measure LeastSquareBallCenterX |
| CLeastSquareBallCenterYMsr | Measurement object for measure LeastSquareBallCenterY |
| CLeastSquareBallCenterYMsrInfo | Information object for measure LeastSquareBallCenterY |
| CLeastSquareBallCenterZMsr | Measurement object for measure LeastSquareBallCenterZ |
| CLeastSquareBallCenterZMsrInfo | Information object for measure LeastSquareBallCenterZ |
| CLeastSquareBallRadiusMsr | Measurement object for measure LeastSquareBallRadius |
| CLeastSquareBallRadiusMsrInfo | Information object for measure LeastSquareBallRadius |
| CLeastSquareCircle2dMsr | Measurement object for measure LeastSquareCircle2d |
| CLeastSquareCircle2dMsrInfo | Information object for measure LeastSquareCircle2d |
| CLeastSquareCircle2dMsrResults | Measurement results object for measure associated to LeastSquareCircle2d |
| CLeastSquareEllipse2dMsr | Measurement object for measure LeastSquareEllipse2d |
| CLeastSquareEllipse2dMsrInfo | Information object for measure LeastSquareEllipse2d |
| CLeastSquareEllipse2dMsrResults | Measurement results object for measure LeastSquareEllipse2d |
| CLeastSquareEllipsoid3dMsr | Measurement object for measure LeastSquareEllipsoid3d |
| CLeastSquareEllipsoid3dMsrInfo | Information object for measure LeastSquareEllipsoid3d |
| CLeastSquareEllipsoid3dMsrResults | Measurement results object for measure LeastSquareEllipsoid3d |
| CLeastSquareEllipsoidCenterXMsr | Measurement object for measure LeastSquareEllipsoidCenterX |
| CLeastSquareEllipsoidCenterXMsrInfo | Information object for measure LeastSquareEllipsoidCenterX |
| CLeastSquareEllipsoidCenterYMsr | Measurement object for measure LeastSquareEllipsoidCenterY |
| CLeastSquareEllipsoidCenterYMsrInfo | Information object for measure LeastSquareEllipsoidCenterY |
| CLeastSquareEllipsoidCenterZMsr | Measurement object for measure LeastSquareEllipsoidCenterZ |
| CLeastSquareEllipsoidCenterZMsrInfo | Information object for measure LeastSquareEllipsoidCenterZ |
| CLeastSquareEllipsoidMajorRadiusMsr | Measurement object for measure LeastSquareEllipsoidMajorRadius |
| CLeastSquareEllipsoidMajorRadiusMsrInfo | Information object for measure LeastSquareEllipsoidMajorRadius |
| CLeastSquareEllipsoidMediumRadiusMsr | Measurement object for measure LeastSquareEllipsoidMediumRadius |
| CLeastSquareEllipsoidMediumRadiusMsrInfo | Information object for measure LeastSquareEllipsoidMediumRadius |
| CLeastSquareEllipsoidMinorRadiusMsr | Measurement object for measure LeastSquareEllipsoidMinorRadius |
| CLeastSquareEllipsoidMinorRadiusMsrInfo | Information object for measure LeastSquareEllipsoidMinorRadius |
| CLeastSquareHyperPlanDistanceToOriginMsr | Measurement object for measure LeastSquareHyperPlanDistanceToOrigin |
| CLeastSquareHyperPlanDistanceToOriginMsrInfo | Information object for measure LeastSquareHyperPlanDistanceToOrigin |
| CLeastSquareHyperPlanNormalXMsr | Measurement object for measure LeastSquareHyperPlanNormalX |
| CLeastSquareHyperPlanNormalXMsrInfo | Information object for measure LeastSquareHyperPlanNormalX |
| CLeastSquareHyperPlanNormalYMsr | Measurement object for measure LeastSquareHyperPlanNormalY |
| CLeastSquareHyperPlanNormalYMsrInfo | Information object for measure LeastSquareHyperPlanNormalY |
| CLeastSquareHyperPlanNormalZMsr | Measurement object for measure LeastSquareHyperPlanNormalZ |
| CLeastSquareHyperPlanNormalZMsrInfo | Information object for measure LeastSquareHyperPlanNormalZ |
| CLeastSquareLine2dMsr | Measurement object for measure LeastSquareLine2d |
| CLeastSquareLine2dMsrInfo | Information object for measure LeastSquareLine2d |
| CLeastSquareLine2dMsrResults | Measurement results object for measure LeastSquareLine2d |
| CLeastSquarePlan3dMsr | Measurement object for measure LeastSquarePlan3d |
| CLeastSquarePlan3dMsrInfo | Information object for measure LeastSquarePlan3d |
| CLeastSquarePlan3dMsrResults | Measurement results object for measure LeastSquarePlan3d |
| CLeastSquareSphere3dMsr | Measurement object for measure LeastSquareSphere3d |
| CLeastSquareSphere3dMsrInfo | Information object for measure LeastSquareSphere3d |
| CLeastSquareSphere3dMsrResults | Measurement results object for measure associated to LeastSquareSphere3d |
| CLengthOfContact2dMsr | Measurement object for measure LengthOfContact2d |
| CLengthOfContact2dMsrInfo | Information object for measure LengthOfContact2d |
| CLengthOfContact2dMsrParams | Parameter object for measure LengthOfContact2d |
| CLocalHistogramModuleMsr | Measurement object for measure LocalHistogramModule |
| CLocalHistogramModuleMsrInfo | Information object for measure LocalHistogramModule |
| CLocalHistogramModuleMsrParams | Parameter object for measure LocalHistogramModule |
| CLogicFormulaMsr | Measurement object for measure LogicFormula |
| CLogicFormulaMsrInfo | Information object for measure LogicFormula |
| CLogicFormulaMsrParams | Parameter object for measure LogicFormula |
| CMaxAbsMsr | Measurement object for measure MaxAbs |
| CMaxAbsMsrInfo | Information object for measure MaxAbs |
| CMaxFeretDiameterMsr | Measurement object for measure MaxFeretDiameter |
| CMaxFeretDiameterMsrInfo | Information object for measure MaxFeretDiameter |
| CMaxFeretDiameterMsrParams | Parameter object for measure MaxFeretDiameter |
| CMaxFeretOrientation2dMsr | Measurement object for measure MaxFeretOrientation2d |
| CMaxFeretOrientation2dMsrInfo | Information object for measure MaxFeretOrientation2d |
| CMaxFeretOrientation2dMsrParams | Parameter object for measure MaxFeretOrientation2d |
| CMaxFeretOrientationPhi3dMsr | Measurement object for measure MaxFeretOrientationPhi3d |
| CMaxFeretOrientationPhi3dMsrInfo | Information object for measure MaxFeretOrientationPhi3d |
| CMaxFeretOrientationPhi3dMsrParams | Parameter object for measure MaxFeretOrientationPhi3d |
| CMaxFeretOrientationTheta3dMsr | Measurement object for measure MaxFeretOrientationTheta3d |
| CMaxFeretOrientationTheta3dMsrInfo | Information object for measure MaxFeretOrientationTheta3d |
| CMaxFeretOrientationTheta3dMsrParams | Parameter object for measure MaxFeretOrientationTheta3d |
| CMaxFeretPt0XMsr | Measurement object for measure MaxFeretPt0X |
| CMaxFeretPt0XMsrInfo | Information object for measure MaxFeretPt0X |
| CMaxFeretPt0XMsrParams | Parameter object for measure MaxFeretPt0X |
| CMaxFeretPt0YMsr | Measurement object for measure MaxFeretPt0Y |
| CMaxFeretPt0YMsrInfo | Information object for measure MaxFeretPt0Y |
| CMaxFeretPt0YMsrParams | Parameter object for measure MaxFeretPt0Y |
| CMaxFeretPt0ZMsr | Measurement object for measure MaxFeretPt0Z |
| CMaxFeretPt0ZMsrInfo | Information object for measure MaxFeretPt0Z |
| CMaxFeretPt0ZMsrParams | Parameter object for measure MaxFeretPt0Z |
| CMaxFeretPt1XMsr | Measurement object for measure MaxFeretPt1X |
| CMaxFeretPt1XMsrInfo | Information object for measure MaxFeretPt1X |
| CMaxFeretPt1XMsrParams | Parameter object for measure MaxFeretPt1X |
| CMaxFeretPt1YMsr | Measurement object for measure MaxFeretPt1Y |
| CMaxFeretPt1YMsrInfo | Information object for measure MaxFeretPt1Y |
| CMaxFeretPt1YMsrParams | Parameter object for measure MaxFeretPt1Y |
| CMaxFeretPt1ZMsr | Measurement object for measure MaxFeretPt1Z |
| CMaxFeretPt1ZMsrInfo | Information object for measure MaxFeretPt1Z |
| CMaxFeretPt1ZMsrParams | Parameter object for measure MaxFeretPt1Z |
| CMaxInscribedBallCenterXMsr | Measurement object for measure MaxInscribedBallCenterX |
| CMaxInscribedBallCenterXMsrInfo | Information object for measure MaxInscribedBallCenterX |
| CMaxInscribedBallCenterYMsr | Measurement object for measure MaxInscribedBallCenterY |
| CMaxInscribedBallCenterYMsrInfo | Information object for measure MaxInscribedBallCenterY |
| CMaxInscribedBallRadiusMsr | Measurement object for measure MaxInscribedBallRadius |
| CMaxInscribedBallRadiusMsrInfo | Information object for measure MaxInscribedBallRadius |
| CMaxInscribedCircle2dMsr | Measurement object for measure MaxInscribedCircle2d |
| CMaxInscribedCircle2dMsrInfo | Information object for measure MaxInscribedCircle2d |
| CMaxMsr | Measurement object for measure Max |
| CMaxMsrInfo | Information object for measure Max |
| CMeanAbsMsr | Measurement object for measure MeanAbs |
| CMeanAbsMsrInfo | Information object for measure MeanAbs |
| CMeanFeretDiameterMsr | Measurement object for measure MeanFeretDiameter |
| CMeanFeretDiameterMsrInfo | Information object for measure MeanFeretDiameter |
| CMeanFeretDiameterMsrParams | Parameter object for measure MeanFeretDiameter |
| CMeanMsr | Measurement object for measure Mean |
| CMeanMsrInfo | Information object for measure Mean |
| CMedianMsr | Measurement object for measure Median |
| CMedianMsrInfo | Information object for measure Median |
| CMeshVolume3dMsr | Measurement object for measure MeshVolume3d |
| CMeshVolume3dMsrInfo | Information object for measure MeshVolume3d |
| CMinAbsMsr | Measurement object for measure MinAbs |
| CMinAbsMsrInfo | Information object for measure MinAbs |
| CMinEnclosingBallCenterXMsr | Measurement object for measure MinEnclosingBallCenterX |
| CMinEnclosingBallCenterXMsrInfo | Information object for measure MinEnclosingBallCenterX |
| CMinEnclosingBallCenterYMsr | Measurement object for measure MinEnclosingBallCenterY |
| CMinEnclosingBallCenterYMsrInfo | Information object for measure MinEnclosingBallCenterY |
| CMinEnclosingBallCenterZMsr | Measurement object for measure MinEnclosingBallCenterZ |
| CMinEnclosingBallCenterZMsrInfo | Information object for measure MinEnclosingBallCenterZ |
| CMinEnclosingBallRadiusMsr | Measurement object for measure MinEnclosingBallRadius |
| CMinEnclosingBallRadiusMsrInfo | Information object for measure MinEnclosingBallRadius |
| CMinEnclosingCircle2dMsr | Measurement object for measure MinEnclosingCircle2d |
| CMinEnclosingCircle2dMsrInfo | Information object for measure MinEnclosingCircle2d |
| CMinEnclosingSphere3dMsr | Measurement object for measure MinEnclosingSphere3d |
| CMinEnclosingSphere3dMsrInfo | Information object for measure MinEnclosingSphere3d |
| CMinFeretDiameterMsr | Measurement object for measure MinFeretDiameter |
| CMinFeretDiameterMsrInfo | Information object for measure MinFeretDiameter |
| CMinFeretDiameterMsrParams | Parameter object for measure MinFeretDiameter |
| CMinFeretOrientation2dMsr | Measurement object for measure MinFeretOrientation2d |
| CMinFeretOrientation2dMsrInfo | Information object for measure MinFeretOrientation2d |
| CMinFeretOrientation2dMsrParams | Parameter object for measure MinFeretOrientation2d |
| CMinFeretOrientationPhi3dMsr | Measurement object for measure MinFeretOrientationPhi3d |
| CMinFeretOrientationPhi3dMsrInfo | Information object for measure MinFeretOrientationPhi3dMsr |
| CMinFeretOrientationPhi3dMsrParams | Parameter object for measure MinFeretOrientationPhi3dMsr |
| CMinFeretOrientationTheta3dMsr | Measurement object for measure MinFeretOrientationTheta3d |
| CMinFeretOrientationTheta3dMsrInfo | Information object for measure MinFeretOrientationTheta3d |
| CMinFeretOrientationTheta3dMsrMsrParams | Parameter object for measure MinFeretOrientationTheta3dMsr |
| CMinFeretOrientationTheta3dMsrParams | |
| CMinFeretPt0XMsr | Measurement object for measure MinFeretPt0X |
| CMinFeretPt0XMsrInfo | Information object for measure MinFeretPt0X |
| CMinFeretPt0XMsrParams | Parameter object for measure MinFeretPt0X |
| CMinFeretPt0YMsr | Measurement object for measure MinFeretPt0Y |
| CMinFeretPt0YMsrInfo | Information object for measure MinFeretPt0Y |
| CMinFeretPt0YMsrParams | Parameter object for measure MinFeretPt0Y |
| CMinFeretPt0ZMsr | Measurement object for measure MinFeretPt0Z |
| CMinFeretPt0ZMsrInfo | Information object for measure MinFeretPt0Z |
| CMinFeretPt0ZMsrParams | Parameter object for measure MinFeretPt0Z |
| CMinFeretPt1XMsr | Measurement object for measure MinFeretPt1XMsr |
| CMinFeretPt1XMsrInfo | Information object for measure MinFeretPt1XMsr |
| CMinFeretPt1XMsrParams | Parameter object for measure MinFeretPt1XMsr |
| CMinFeretPt1YMsr | Measurement object for measure MinFeretPt1Y |
| CMinFeretPt1YMsrInfo | Information object for measure MinFeretPt1Y |
| CMinFeretPt1YMsrParams | Parameter object for measure MinFeretPt1Y |
| CMinFeretPt1ZMsr | Measurement object for measure MinFeretPt1Z |
| CMinFeretPt1ZMsrInfo | Information object for measure MinFeretPt1Z |
| CMinFeretPt1ZMsrParams | Parameter object for measure MinFeretPt1Z |
| CMinMsr | Measurement object for measure Min |
| CMinMsrInfo | Information object for measure Min |
| CNbConnectedComponents2dMsr | Measurement object for measure NbConnectedComponents2d |
| CNbConnectedComponents2dMsrInfo | Information object for measure NbConnectedComponents2d |
| CNbConnectedComponents3dMsr | Measurement object for measure NbConnectedComponents3d |
| CNbConnectedComponents3dMsrInfo | Information object for measure NbConnectedComponents3d |
| CNbHolesMsr | Measurement object for measure NbHoles |
| CNbHolesMsrInfo | Information object for measure NbHoles |
| CNbNeighborsMsr | Measurement object for measure NbNeighbors |
| CNbNeighborsMsrInfo | Information object for measure NbNeighbors |
| CNbPixels2dMsr | Measurement object for measure NbPixels2d |
| CNbPixels2dMsrInfo | Information object for measure NbPixels2d |
| CNbPixels3dMsr | Measurement object for measure NbPixels3d |
| CNbPixels3dMsrInfo | Information object for measure NbPixels3d |
| CNearestNeighbors2dMsr | Measurement object for measure NearestNeighbors2d |
| CNearestNeighbors2dMsrInfo | Information object for measure NearestNeighbors2d |
| CNearestNeighbors3dMsr | Measurement object for measure NearestNeighbors3d |
| CNearestNeighbors3dMsrInfo | Information object for measure NearestNeighbors3d |
| CNearestNeighborsMsrResults | Measurement results object for measure NearestNeighbors |
| CNeighborsDistanceMsrParams | Parameter for measures using a distance between entities |
| CNormGaussGrad2dPreProcessorConfig | Configuration object allowing computation of the norm of gaussian gradient as pre processing of shape analysis input image |
| CNormGaussGrad3dPreProcessorConfig | Configuration object allowing computation of the norm of gaussian gradient as pre processing of shape analysis input image |
| COBBCenterXMsr | Measurement object for measure OBBCenterX |
| COBBCenterXMsrInfo | Information object for measure OBBCenterX |
| COBBCenterXMsrParams | Parameter object for measure OBBCenterX |
| COBBCenterYMsr | Measurement object for measure OBBCenterY |
| COBBCenterYMsrInfo | Information object for measure OBBCenterY |
| COBBCenterYMsrParams | Parameter object for measure OBBCenterY |
| COBBCenterZMsr | Measurement object for measure OBBCenterZ |
| COBBCenterZMsrInfo | Information object for measure OBBCenterZ |
| COBBCenterZMsrParams | Parameter object for measure OBBCenterZ |
| COBBHeightMsr | Measurement object for measure OBBHeight |
| COBBHeightMsrInfo | Information object for measure OBBHeight |
| COBBHeightMsrParams | Parameter object for measure OBBHeight |
| COBBLengthMsr | Measurement object for measure OBBLength |
| COBBLengthMsrInfo | Information object for measure OBBLength |
| COBBLengthMsrParams | Parameter object for measure OBBLength |
| COBBOrientation2dMsr | Measurement object for measure OBBOrientation2d |
| COBBOrientation2dMsrInfo | Information object for measure OBBOrientation2d |
| COBBOrientation2dMsrParams | Parameter object for measure OBBOrientation2d |
| COBBOrientationAlphaMsr | Measurement object for measure OBBOrientationAlpha |
| COBBOrientationAlphaMsrInfo | Information object for measure OBBOrientationAlpha |
| COBBOrientationAlphaMsrParams | Parameter object for measure OBBOrientationAlpha |
| COBBOrientationBetaMsr | Measurement object for measure OBBOrientationBeta |
| COBBOrientationBetaMsrInfo | Information object for measure OBBOrientationBeta |
| COBBOrientationBetaMsrParams | Parameter object for measure OBBOrientationBeta |
| COBBOrientationChiMsr | Measurement object for measure OBBOrientationChi |
| COBBOrientationChiMsrInfo | Information object for measure OBBOrientationChi |
| COBBOrientationChiMsrParams | Parameter object for measure OBBOrientationChi |
| COBBWidthMsr | Measurement object for measure OBBWidth |
| COBBWidthMsrInfo | Information object for measure OBBWidth |
| COBBWidthMsrParams | Parameter object for measure OBBWidth |
| COrientedBoundingBox2dMsr | Measurement object for measure OrientedBoundingBox2d |
| COrientedBoundingBox2dMsrInfo | Information object for measure OrientedBoundingBox2d |
| COrientedBoundingBox2dMsrParams | Parameter object for measure OrientedBoundingBox2d |
| COrientedBoundingBox2dMsrResults | Measurement results object for measure OrientedBoundingBox2d |
| COrientedBoundingBox3dMsr | Measurement object for measure OrientedBoundingBox3d |
| COrientedBoundingBox3dMsrInfo | Information object for measure OrientedBoundingBox3d |
| COrientedBoundingBox3dMsrParams | Parameter object for measure OrientedBoundingBox3d |
| COrientedBoundingBox3dMsrResults | Measurement results object for measure OrientedBoundingBox3d |
| COrientedExtentMsr | Measurement object for measure OrientedExtent |
| COrientedExtentMsrInfo | Information object for measure OrientedExtent |
| COrientedExtentMsrParams | Parameter object for measure OrientedExtent |
| COutlineSlopeAngularity2dMsr | Measurement object for measure OutlineSlopeAngularity2d |
| COutlineSlopeAngularity2dMsrInfo | Information object for measure OutlineSlopeAngularity2d |
| COutlineSlopeAngularity2dMsrParams | Parameter object for measure OutlineSlopeAngularity2d |
| CPerimeter2dMsr | Measurement object for measure Perimeter2d |
| CPerimeter2dMsrInfo | Information object for measure Perimeter2d |
| CPolygonArea2dMsr | Measurement object for measure PolygonArea2d |
| CPolygonArea2dMsrInfo | Information object for measure PolygonArea2d |
| CPorosityMsr | Measurement object for measure Porosity |
| CPorosityMsrInfo | Information object for measure Porosity |
| CRadiusAngularityIndex2dMsr | Measurement object for measure RadiusAngularityIndex2d |
| CRadiusAngularityIndex2dMsrInfo | Information object for measure RadiusAngularityIndex2d |
| CRadiusAngularityIndex2dMsrParams | Parameter object for measure RadiusAngularityIndex2d |
| CRelativeSizeMsr | Measurement object for measure RelativeSize |
| CRelativeSizeMsrInfo | Information object for measure RelativeSize |
| CRelativeSizeMsrParams | Parameter object for measure RelativeSize |
| CRoughness2dMsr | Measurement object for measure Roughness2d |
| CRoughness2dMsrInfo | Information object for measure Roughness2d |
| CRoughness2dMsrParams | Parameter object for measure Roughness2d |
| CRoundnessMsrParams | Parameter object for measure Roundness |
| CRoundnessPeakMsr | Measurement object for measure RoundnessPeak |
| CRoundnessPeakMsrInfo | Information object for measure RoundnessPeak |
| CRoundnessTotalMsr | Measurement object for measure RoundnessTotal |
| CRoundnessTotalMsrInfo | Information object for measure RoundnessTotal |
| CRoundnessValleyMsr | Measurement object for measure RoundnessValley |
| CRoundnessValleyMsrInfo | Information object for measure RoundnessValley |
| CShapeAnalysis2dLvl1 | Level 1 algorithm: Shape 2d analysis and measurement algorithm |
| CShapeAnalysis2dLvl2 | Level 2 algorithm: Shape 2d analysis and measurement algorithm |
| CShapeAnalysis3dLvl1 | Level 1 algorithm: Shape 3d analysis and measurement algorithm |
| CShapeAnalysis3dLvl2 | Level 2 algorithm: Shape 3d analysis and measurement algorithm |
| CShapeAnalysisOptParams | Structure allowing to encapsulated input optional parameters associated to shape analysis |
| CShapeFiltering2dImgLvl1 | Level 1 algorithm: Shape 2d filtering algorithm |
| CShapeFiltering2dImgLvl2 | Level 1 algorithm: Shape 2d filtering algorithm |
| CShapeFiltering3dImgLvl1 | Level 1 algorithm: Shape 3d filtering algorithm |
| CShapeFiltering3dImgLvl2 | Level 1 algorithm: Shape 3d filtering algorithm |
| CSkeleton2dDiameterLengthMsr | Measurement object for measure Skeleton2dDiameterLength |
| CSkeleton2dDiameterLengthMsrInfo | Information object for measure Skeleton2dDiameterLength |
| CSkeleton2dDiameterLengthMsrParams | Parameter object for measure Skeleton2dDiameterLength |
| CSkeleton2dDiameterMeanCurvatureMsr | Measurement object for measure Skeleton2dDiameterMeanCurvature |
| CSkeleton2dDiameterMeanCurvatureMsrInfo | Information object for measure Skeleton2dDiameterMeanCurvature |
| CSkeleton2dDiameterMeanCurvatureMsrParams | Parameter object for measure Skeleton2dDiameterMeanCurvature |
| CSkeleton2dDiameterTortuosityMsr | Measurement object for measure Skeleton2dDiameterTortuosity |
| CSkeleton2dDiameterTortuosityMsrInfo | Information object for measure Skeleton2dDiameterTortuosity |
| CSkeleton2dDiameterTortuosityMsrParams | Parameter object for measure Skeleton2dDiameterTortuosity |
| CSkeleton2dLengthMsr | Measurement object for measure Skeleton2dLength |
| CSkeleton2dLengthMsrInfo | Information object for measure Skeleton2dLength |
| CSkeleton2dLengthMsrParams | Parameter object for measure Skeleton2dLength |
| CSkeleton2dMaxThicknessMsr | Measurement object for measure Skeleton2dMaxThickness |
| CSkeleton2dMaxThicknessMsrInfo | Information object for measure Skeleton2dMaxThickness |
| CSkeleton2dMaxThicknessMsrParams | Parameter object for measure Skeleton2dMaxThickness |
| CSkeleton2dMeanEdgeLengthMsr | Measurement object for measure Skeleton2dMeanEdgeLength |
| CSkeleton2dMeanEdgeLengthMsrInfo | Information object for measure Skeleton2dMeanEdgeLength |
| CSkeleton2dMeanEdgeLengthMsrParams | Parameter object for measure Skeleton2dMeanEdgeLength |
| CSkeleton2dMeanThicknessMsr | Measurement object for measure Skeleton2dMeanThickness |
| CSkeleton2dMeanThicknessMsrInfo | Information object for measure Skeleton2dMeanThickness |
| CSkeleton2dMeanThicknessMsrParams | Parameter object for measure Skeleton2dMeanThickness |
| CSkeleton2dMinThicknessMsr | Measurement object for measure Skeleton2dMinThickness |
| CSkeleton2dMinThicknessMsrInfo | Information object for measure Skeleton2dMinThickness |
| CSkeleton2dMinThicknessMsrParams | Parameter object for measure Skeleton2dMinThickness |
| CSkeleton2dNbVertexMsr | Measurement object for measure Skeleton2dNbVertex |
| CSkeleton2dNbVertexMsrInfo | Information object for measure Skeleton2dNbVertex |
| CSkeleton2dNbVertexMsrParams | Parameter object for measure Skeleton2dNbVertex |
| CSkewnessMsr | Measurement object for measure Skewness |
| CSkewnessMsrInfo | Information object for measure Skewness |
| CSphere3dMsrResults | Measurement results object for measure associated to Sphere3d |
| CSphericity3dMsr | Measurement object for measure Sphericity3d |
| CSphericity3dMsrInfo | Information object for measure Sphericity3d |
| CStdDevMsr | Measurement object for measure StdDev |
| CStdDevMsrInfo | Information object for measure StdDev |
| CSumAbsMsr | Measurement object for measure SumAbs |
| CSumAbsMsrInfo | Information object for measure SumAbs |
| CSumMsr | Measurement object for measure Sum |
| CSumMsrInfo | Information object for measure Sum |
| CSumSquareMsr | Measurement object for measure SumSquare |
| CSumSquareMsrInfo | Information object for measure SumSquare |
| CSurfaceOfContact3dMsr | Measurement object for measure SurfaceOfContact3d |
| CSurfaceOfContact3dMsrInfo | Information object for measure SurfaceOfContact3d |
| CSurfaceOfContact3dMsrParams | Parameter object for measure SurfaceOfContact3d |
| CSurfaceProjectionXMsr | Measurement object for measure SurfaceProjectionX |
| CSurfaceProjectionXMsrInfo | Information object for measure SurfaceProjectionX |
| CSurfaceProjectionYMsr | Measurement object for measure SurfaceProjectionY |
| CSurfaceProjectionYMsrInfo | Information object for measure SurfaceProjectionY |
| CSurfaceProjectionZMsr | Measurement object for measure SurfaceProjectionZ |
| CSurfaceProjectionZMsrInfo | Information object for measure SurfaceProjectionZ |
| CTouchImageBordersMsr | Measurement object for measure TouchImageBorders |
| CTouchImageBordersMsrInfo | Information object for measure TouchImageBorders |
| CVarianceMsr | Measurement object for measure Variance |
| CVarianceMsrInfo | Information object for measure Variance |
| CVolume3dMsr | Measurement object for measure Volume3d |
| CVolume3dMsrInfo | Information object for measure Area2d |
| ▶Nsegmentation | Namespace aggregating shape segmentation image processing algorithms |
| CIPSDKIPLShapeSegmentationException | Exception class for library IPSDKIPLShapeSegmentation |
| CLabelShapeExtraction2dLvl1 | Level 1 algorithm: shape extraction from label 2d image algorithm |
| CLabelShapeExtraction2dLvl2 | Level 2 algorithm: shape extraction from label 2d image algorithm |
| CLabelShapeExtraction3dLvl1 | Level 1 algorithm: Shape extraction from label 3d image algorithm |
| CShapeToLabel2dImgLvl1 | Level 1 algorithm: algorithm allowing to create a label 2d image from a collection of shape |
| CShapeToLabel2dImgLvl2 | Level 2 algorithm: algorithm allowing to create a label 2d image from a collection of shape |
| CShapeToLabel2dImgLvl3 | Level 3 algorithm: algorithm allowing to create a label 2d image from a collection of shape |
| CShapeToLabel3dImgLvl1 | Level 1 algorithm: algorithm allowing to create a label 3d image from a collection of shape |
| CShapeToLabel3dImgLvl2 | Level 2 algorithm: algorithm allowing to create a label 3d image from a collection of shape |
| CShapeToLabel3dImgLvl3 | Level 3 algorithm: algorithm allowing to create a label 3d image from a collection of shape |
| ▶Nstats | Namespace aggregating image statistics computation algorithms |
| CIPSDKIPLStatsException | Exception class for library IPSDKIPLStats |
| CKurtosis2dImgLvl1 | Level 1 algorithm: local kurtosis on a 2d image |
| CKurtosis2dImgLvl2 | Level 2 algorithm: local kurtosis on a 2d image |
| CKurtosis2dImgLvl3 | Level 3 algorithm: Computation of the local kurtosis on a rectangular neighbourhood on a 2d image |
| CKurtosis3dImgLvl1 | Level 1 algorithm: Local 3d image kurtosis computation |
| CKurtosis3dImgLvl2 | Level 2 algorithm: Local 3d image kurtosis computation |
| CKurtosis3dImgLvl3 | Level 3 algorithm: Local 3d image kurtosis computation |
| CLawTexture2dImgLvl1 | Level 1 algorithm: Apply Law's texture 2d filter on an image |
| CLawTexture3dImgLvl1 | Level 1 algorithm: Apply Law's texture 3d filter on an image |
| CLocalEnergy2dImgLvl1 | Level 1 algorithm: local energy on a 2d image |
| CLocalEnergy2dImgLvl2 | Level 2 algorithm: local energy on a 2d image |
| CLocalEnergy2dImgLvl3 | Level 3 algorithm: local energy on a 2d image |
| CLocalEnergy3dImgLvl1 | Level 1 algorithm: local energy on a 3d image |
| CLocalEnergy3dImgLvl2 | Level 2 algorithm: local energy on a 3d image |
| CLocalEnergy3dImgLvl3 | Level 3 algorithm: local energy on a 3d image |
| CLocalEntropy2dImgLvl1 | Level 1 algorithm: local entropy on a 2d image |
| CLocalEntropy2dImgLvl2 | Level 2 algorithm: local entropy on a 2d image |
| CLocalEntropy2dImgLvl3 | Level 3 algorithm: local entropy on a 2d image |
| CLocalEntropy3dImgLvl1 | Level 1 algorithm: local entropy on a 3d image |
| CLocalEntropy3dImgLvl2 | Level 2 algorithm: local entropy on a 3d image |
| CLocalEntropy3dImgLvl3 | Level 3 algorithm: local entropy on a 3d image |
| CLocalHistogramModule2dImgLvl1 | Level 1 algorithm: Lowitz local histogram module on a 2d image |
| CLocalHistogramModule2dImgLvl2 | Level 2 algorithm: Lowitz local histogram module on a 2d image |
| CLocalHistogramModule2dImgLvl3 | Level 3 algorithm: Lowitz local histogram module on a 2d image |
| CLocalHistogramModule3dImgLvl1 | Level 1 algorithm: Lowitz local histogram module on a 3d image |
| CLocalHistogramModule3dImgLvl2 | Level 2 algorithm: Lowitz local histogram module on a 3d image |
| CLocalHistogramModule3dImgLvl3 | Level 3 algorithm: Lowitz local histogram module on a 3d image |
| CSkewness2dImgLvl1 | Level 1 algorithm: Computation of the local skewness on a rectangular neighbourhood on a 2d image |
| CSkewness2dImgLvl2 | Level 2 algorithm: Computation of the local skewness on a rectangular neighbourhood on a 2d image |
| CSkewness2dImgLvl3 | Level 3 algorithm: Computation of the local skewness on a rectangular neighbourhood on a 2d image |
| CSkewness3dImgLvl1 | Level 1 algorithm: Local 3d image skewness computation |
| CSkewness3dImgLvl2 | Level 2 algorithm: Local 3d image skewness computation |
| CSkewness3dImgLvl3 | Level 3 algorithm: Local 3d image skewness computation |
| CVariance2dImgLvl1 | Level 1 algorithm: Variance filter |
| CVariance2dImgLvl2 | Level 2 algorithm: Variance filter on a 2d image |
| CVariance2dImgLvl3 | Level 3 algorithm: Variance filter on 2d image |
| CVariance3dImgLvl1 | Level 1 algorithm: Variance filter used on 3d image |
| CVariance3dImgLvl2 | Level 2 algorithm: Variance filter used on 3d image |
| CVariance3dImgLvl3 | Level 3 algorithm: Variance filter used on 3d image |
| ▶Nutil | Namespace agregating image processing utility algorithm |
| CAppendSeqImgLvl1 | Level 1 algorithm for concatenation of 2 image sequences |
| CBuildLines2dImgLvl1 | Level 1 algorithm: Generates a binary image with oriented lines |
| CBuildLines2dImgLvl2 | Level 2 algorithm: Generates a binary image with oriented lines |
| CBuildLines2dImgLvl3 | Level 3 algorithm: Generates a binary image with oriented lines |
| CBuildLines3dImgLvl1 | Level 1 algorithm: Generates a 3D binary image with oriented lines |
| CBuildLines3dImgLvl2 | Level 2 algorithm: Generates a 3D binary image with oriented lines |
| CBuildLines3dImgLvl3 | Level 3 algorithm: Generates a 3D binary image with oriented lines |
| CCompareImgLvl1 | Level 1 algorithm for image comparison |
| CCompareImgLvl2 | Level 2 algorithm for image comparison |
| CCompareImgLvl3 | Level 3 algorithm for image comparison |
| CConvertImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CConvertImgLvl1 | Level 1 algorithm for image conversion |
| CConvertImgLvl2 | Level 2 algorithm for image conversion |
| CConvertImgLvl3 | Level 3 algorithm for image conversion |
| CCopyImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CCopyImgLvl1 | Level 1 algorithm for image copy |
| CCopyImgLvl2 | Level 2 algorithm for image copy |
| CCopyImgLvl3 | Level 3 algorithm for image copy |
| CEraseImgGpuLvl3 | Level 2 algorithm for image copy dedicated to GPU calculation |
| CEraseImgLvl1 | Level 1 algorithm for image erasing |
| CEraseImgLvl2 | Level 2 algorithm for image erasing |
| CEraseImgLvl3 | Level 3 algorithm for image erasing |
| CExtractImg2dValuesLvl1 | Level 1 algorithm: extract values at specific coordinates from a 2d image |
| CExtractImg2dValuesLvl2 | Level 2 algorithm: extract values at specific coordinates from a 2d image |
| CExtractImg3dValuesLvl1 | Level 1 algorithm: extract values at specific coordinates from a 3d image |
| CExtractImg3dValuesLvl2 | Level 2 algorithm: extract values at specific coordinates from a 3d image |
| CGaussianRandomImgLvl1 | Level 1 algorithm: initialization of an image with random values generated using a normal law |
| CGaussianRandomImgLvl2 | Level 2 algorithm: initialization of an image with random values generated using a normal law |
| CGaussianRandomImgLvl3 | Level 3 algorithm: initialization of an image with random values generated using a normal law |
| CGetROI23ImgLvl3 | Level 3 algorithm for image 3d ROI extraction |
| CGetROI2dImgLvl1 | Level 1 algorithm for image 2d ROI extraction |
| CGetROI2dImgLvl2 | Level 2 algorithm for image 2d ROI extraction |
| CGetROI2dImgLvl3 | Level 3 algorithm for image 2d ROI extraction |
| CGetROI3dImgLvl1 | Level 1 algorithm for image 3d ROI extraction |
| CGetROI3dImgLvl2 | Level 2 algorithm for image 3d ROI extraction |
| CGetROI3dImgLvl3 | See Get 3d ROI for a complete algorithm description |
| CGetSlice3dImgLvl1 | Level 1 algorithm: Creates a 2D image from a slice along a given axis (x, y, or z) of a 3D image |
| CGetSlice3dImgLvl2 | Level 2 algorithm: Creates a 2D image from a slice along a given axis (x, y, or z) of a 3D image |
| CGetSlice3dImgLvl3 | Level 3 algorithm: Creates a 2D image from a slice along a given axis (x, y, or z) of a 3D image |
| CIPSDKIPLUtilityException | Exception class for library IPSDKIPLUtility |
| CLogicalNotImgGpuLvl3 | Level 2 algorithm for logical not dedicated to GPU calculation |
| CPutROI2dImgLvl1 | Level 1 algorithm for putting a 2d ROI in a 2d image |
| CPutROI2dImgLvl2 | Level 2 algorithm for putting a 2d ROI into a 2d image |
| CPutROI2dImgLvl3 | Level 3 algorithm for putting a 2d ROI into a 2d image |
| CPutROI3dImgLvl1 | Level 1 algorithm for putting a 3d ROI in a 3d image |
| CPutROI3dImgLvl2 | Level 2 algorithm for putting a 3d ROI into a 2d image |
| CPutROI3dImgLvl3 | Level 3 algorithm for putting a 3d ROI into a 3d image |
| CPutSlice3dImgLvl1 | Level 1 algorithm: Copies a 2D image in a 3D image as a slice in the input slice index along x, y or z |
| CPutSlice3dImgLvl2 | Level 2 algorithm: Copies a 2D image in a 3D image as a slice in the input slice index along x, y or z |
| CPutSlice3dImgLvl3 | Level 3 algorithm: Copies a 2D image in a 3D image as a slice in the input slice index along x, y or z |
| CRandomImgLvl1 | Level 1 algorithm: initialization of an image with random values generated using a uniform law on interval [RandomMin; RandomMax] |
| CRandomImgLvl2 | Level 2 algorithm: initialization of an image with random values generated using a uniform law on interval [RandomMin; RandomMax] |
| CRandomImgLvl3 | Level 3 algorithm: initialization of an image with random values generated using a uniform law on interval [RandomMin; RandomMax] |
| ▼Nla | |
| CIPSDKIPLLinearAlgebraException | Exception class for library IPSDKIPLLinearAlgebra |
1.8.14