Value

modules containing value attributes used for image processing More...

Modules
	InOutLabelsShape2d
	[InOut] Collection of shape 2d associated to labels
	InOutPILabelsShape2d
	[InOut] Plan indexed collection of shape 2d associated to labels
	InAlpha
	[Input] Component of a 3D orientation
	InAnisotropy
	[Input] Anisotropy factor for processing operation
	InArithmeticVal
	[Input] value used for arithmetic operations
	InBlendMultiplier
	[Input] Multiplier value used for image blending operation
	InBlurWeight
	[Input] weight factor used for blur combination operation
	InBoolFlag
	[Input] Boolean flag
	InClusterId
	[Input] Identifier of a cluster
	InCompactness
	[Input] Ratio between distance and color for super pixels algorithm
	InCutoffFrequency
	[Input] Cutoff normalizes frequency for band-pass filtering in Fourier space (must belong to [-0.5, 0.5[)
	InDFTXScale
	[Input] scale used along X axis during Discrete Fourier Transform computation
	InDFTYScale
	[Input] scale used along Y axis during Discrete Fourier Transform computation
	InDFTZScale
	[Input] scale used along Z axis during Discrete Fourier Transform computation
	InDilateFactor
	[Input] factor used for dilation
	InDirSmoothFactor
	[Input] Directional smoothing amplitude factor
	InFactor1
	[Input] first factor, used in particular by linear combination algorithm
	InFactor2
	[Input] second factor, used in particular by linear combination algorithm
	InFeaturesDistX
	[Input] distance between detected features along x axis (tchebychev distance)
	InFeaturesDistY
	[Input] distance between detected features along y axis (tchebychev distance)
	InFeaturesDistZ
	[Input] distance between detected features along z axis (tchebychev distance)
	InFirstLabelOffset
	[Input] first label offset used for fusion operation
	InGradientStdDev
	[Input] Standard deviation used for gradient operation along all axis
	InGradStdDev
	[Input] standard deviation used for gradient computation
	InHalfKnlSize
	[Input] half kernel size (square or cubic kernel)
	InHalfKnlSizeX
	[Input] half kernel size along X axis for operation
	InHalfKnlSizeY
	[Input] half kernel size along Y axis for operation
	InHalfKnlSizeZ
	[Input] half kernel size along Z axis for operation
	InIgnoreForeground
	[Input] Flags indicating if the forground is ignored during a calculation
	InImgMean1
	[Input] Mean value of the first input image
	InImgMean2
	[Input] Mean value of the second input image
	InIterId
	[Input] Value to inform lower levels of the current iteration for iterative algorithm
	InKDENbSamples
	[Input] number of sample for kernel density estimation
	InLabelValue
	[Input] Label value in an image
	InMaxAngleWithGradDir
	[Input] maximum angle with gradient direction, in degrees
	InMaxDistance
	[Input] Maximum distance authorized for the propagation
	InMaxHalfKnlSize
	[Input] Maximum half kernel size for processing operation
	InMaxTranslation
	[Input] Maximum translation allowed in a geometric transform (in absolute value)
	InMinShapeSize
	[Input] size of shape for processing operation
	InNbAngles
	[Input] Number of angles for directional smoothing
	InNbCircles
	[Input] Specifies the maximum number of circles/spheres detected for each slice, a value of 0 means "keep all the circles/spheres"
	InNbClusters
	[Input] Number of clusters
	InNbFeatures
	[Input] target number of features to be detected by algorithm
	InNbIter
	[Input] Number of iterations for an iterative algorithm
	InNbLabels
	[Input] number of labels for processing operation
	InNbMaxPtsPerCircle
	[Input] maximum number of points per circle
	InNbMinDataByThread
	[Input] minimum number of data by thread
	InNbMinPointForPolygApprox
	[Input] Minimum number of points needed to trigger polygon approximation
	InNbSamples
	[Input] number of samples for processing operation
	InNbTimeSteps
	[Input] number for time steps for anisotropic diffusion
	InNormalize
	[Input] flag indicating whether convolution operation should be normalized (result divide by sum of abssolute values of kernel coefficients)
	InNormProjFactor
	[Input] factor used for projection normalization
	InOffset1
	[Input] First offset to apply
	InOffset2
	[Input] Second offset to apply
	InOptBlendMultiplier
	[Input Optional] Multiplier value used for image blending operation
	InOptClustersCentersShiftTolerance
	[Input Optional] Tolerance on clusters centers shift between 2 iterations of k-means algorithm
	InOptComputeOutImg
	[Input Optional] Flag indicating if the optional output image has to be computed
	InOptContrastRadius
	[Input Optional] contrast radius for Z focus
	InOptContrastSize
	[Input Optional] contrast size for Z focus
	InOptCorrelationThreshold2d
	[Input Optional] threshold on 2d correlation scores used during pairs matching
	InOptCorrelationThreshold3d
	[Input Optional] threshold on 3d correlation scores used during pairs matching
	InOptDepthMap
	[Input Optional] bool value for depth map in z focus
	InOptDirSmoothFactor
	[Input Optional] Directional smoothing amplitude factor
	InOptEpsilon
	[Input Optional] Epsilon value, used to consider lower values as zero
	InOptEraseValue
	[Input optional] value used for image erasing operation
	InOptFeaturesDistX
	[Input Optional] distance between detected features along x axis (tchebychev distance)
	InOptFeaturesDistY
	[Input Optional] distance between detected features along y axis (tchebychev distance)
	InOptFeaturesDistZ
	[Input Optional] distance between detected features along z axis (tchebychev distance)
	InOptGradStdDev
	[Input Optional] standard deviation used for gradient computation
	InOptGreatestMin
	[Input Optional] greatest allowed value for local minima
	InOptHalfKnlSize
	[Input Optional] half kernel size (square or cubic kernel)
	InOptHoughLinesOrientationTolerance
	[Input Optional] Tolerance for orientation around estimated gradient direction
	InOptKDENbSamples
	[Input Optional] number of sample for kernel density estimation
	InOptLowestMax
	[Input Optional] lowest allowed value for local maxima
	InOptMaxAbsDiffValue
	[Input optional] maximal absolute value authorized between 2 images
	InOptMaxAngleWithGradDir
	[Input Optional] maximum angle with gradient direction, in radians
	InOptMaxDistance
	[Input Optional] Maximum distance authorized for the propagation (a value of 0 means no distance restriction)
	InOptMaxHalfKnlSize
	[Input Optional] Maximum half kernel size for processing operation
	InOptMaxTranslation
	[Input Optional] Maximum translation allowed in a geometric transform (in absolute value)
	InOptMeanSmoothingValue
	[Input Optional] mean smoothing value for Z focus
	InOptMemoryRatio
	[Input Optional] memory ratio for random forest
	InOptNbAngles2d
	[Input Optional] Number of angles for directional smoothing
	InOptNbAngles3d
	[Input Optional] Number of angles for directional smoothing
	InOptNbAttempts
	[Input Optional] Number of times k-means is executed using different initial clusters centers
	InOptNbCircles
	[Input Optional] Specifies the maximum number of circles/spheres detected for each slice, a value of 0 means "keep all the circles/spheres"
	InOptNbClusters
	[Input Optional] Number of clusters
	InOptNbFeatures
	[Input Optional] target number of features to be detected by algorithm
	InOptNbIterByStage
	[Input Optional] number of processing iteration by stage
	InOptNbMaxIter
	[Input Optional] Maximum number of iterations (ignored if equals to 0)
	InOptNbMaxPtsPerCircle
	[Input Optional] maximum number of points per circle
	InOptNbMinDataByThread
	[Input Optional] minimum number of data by thread
	InOptNbMinPointForPolygApprox
	[Input Optional] Minimum number of points needed to trigger polygon approximation
	InOptNormalizeSobelKernel
	[Input Optional] boolean flag indicating whether kernel use for Sobel gradient filtering has to be normalized or not
	InOptOutputImg3dZSize
	[Input Optional] z-size of 3d output image
	InOptOutSizeX
	[Input Optional] size of output image along x-axis
	InOptPhi
	[Input Optional] starting azimuth angle offset value
	InOptPixelXSize
	[Input Optional] Pixel size along the x axis
	InOptPixelYSize
	[Input Optional] Pixel size along the y axis
	InOptPixelZSize
	[Input Optional] Pixel size along the z axis
	InOptPolygApproxMaxDist
	[Input Optional] Maximum distance for polygonal approximation (a null value stands for no approximation)
	InOptProbabilities
	[Input Optional] bool value for probabilities in pixel classfication algorithm
	InOptRandomMaxValue
	[Input optional] maximum value used for random operation
	InOptRandomMinValue
	[Input optional] minimum value used for random operation
	InOptRangePhi
	[Input Optional] Orientation range in degrees
	InOptRangeTheta
	[Input Optional] Orientation range in degrees
	InOptSaturateOutput
	[Input Optional] Flag indicating if the ouput must be normalized
	InOptSignatureScaleFactor
	[Input Optional] image scale factor used during signature computation
	InOptSizeRatio
	[Input Optional] Ratio to compare a size with a reference
	InOptSpatialStep
	[Input Optional] Spatial step used for smoothing along processed directions
	InOptSplitValue
	[Input Optional] value used to split data during processing
	InOptStdDevFactor
	[Input Optional] factor applied on standard deviation for laplacian difference of gaussian computation
	InOptStdDevGrad
	[Input Optional] standard deviation used for gaussian gradient computation
	InOptStdDevMat
	[Input Optional] standard deviation used for matrix gaussian smoothing
	InOptTargetTile2dSideLength
	[Input Optional] target processing size for tile 2d (side length)
	InOptTargetTile3dSideLength
	[Input Optional] target processing size for tile 3d (side length)
	InOptTheta
	[Input Optional] 2d orientation for processing operation
	InOptTheta0
	[Input Optional] starting angle offset value, in radians
	InOptWeight
	[Input Optional] Weighting coefficient
	InOptZoomFactor
	[Input Optional] z-size of 3d output image
	InOptZScaleFactor
	[Input Optional] z-size of 3d output image
	InOutOptAllow8bitsCompression
	[InOut Optional] boolean determining whether 8 bits compression on output image is allowed to make median computation faster
	InOutputImg3dZSize
	[Input] z-size of 3d output image
	InPhi
	[Input] starting azimuth angle offset value
	InPolygApproxMaxDist
	[Input] aximum distance for polygonal approximation (a null value stands for no approximation)
	InRangePhi
	[Input] Orientation range in degrees
	InRangeSigma
	[Input] sigma for range gaussian function
	InRangeTheta
	[Input] Orientation range in degrees
	InRemoveSkeletonsWithoutHoles
	[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
	InRingHalfThickness
	[Input] half thickness for ring used during processing
	InScaleFactor
	[Input] scale factor
	InSecondLabelOffset
	[Input] second label offset used for fusion operation
	InSharpness
	[Input] Sharpness factor used by processing operation
	InSigmoidAlpha
	[Input] alpha parameter of image sigmoid normalization algorithm
	InSigmoidBeta
	[Input] beta parameter of image sigmoid normalization algorithm
	InSignatureScaleFactor
	[Input] image scale factor used during signature computation
	InSliceIndex
	[Input] Index of the slice to process
	InSmoothingStdDev
	[Input] standard deviation used for smoothing operation along all axis
	InSpaceSigma
	[Input] sigma for spatial gaussian function
	InSpatialStep
	[Input] Spatial step used for smoothing along processed directions
	InSplitValue
	[Input] value used to split data during processing
	InStdDev
	[Input] standard deviation used for operation along all axis
	InStdDevGrad
	[Input] standard deviation used for gaussian gradient computation
	InStdDevMat
	[Input] standard deviation used for matrix gaussian smoothing
	InStdDevX
	[Input] standard deviation used for operation along X axis
	InStdDevY
	[Input] standard deviation used for operation along Z axis
	InStdDevZ
	[Input] standard deviation used for operation along Z axis
	InSubSampleHalfStep
	[Input] Sub-sample half step used for the marching cube step of the 3D shape surface extraction
	InSuperPixelsParamValue
	[Input] Value used to initialize super pixels (number or size)
	InTargetTileSideLength
	[Input] target processing size for tile (side length)
	InTheta
	[Input] 2d orientation for processing operation
	InTheta0
	[Input] starting angle offset value, in radians
	InThresholdMax
	[Input] maximum for binary threshold image operation
	InThresholdMin
	[Input] minimum for binary threshold image operation
	InTopHatThreshold
	[Input] threshold value used for top hat binarization
	InUInt64Value
	[Input] Generic integer value
	InUpdateCentersFlag
	[Input] Flag indicating whether clusters centers have to be updated or not
	OutCompactness
	[Output] Compactness, used in k-means algorithm
	OutMax
	[Output] maximum value
	OutMaxLabel
	[Output] maximum computed label value
	OutThreshold
	[Output] threshold value for image binarization

Detailed Description

modules containing value attributes used for image processing

This group aggregates value attributes used for image processing operations.