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IPSDK
4_1_0_2
IPSDK : Image Processing Software Development Kit
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IPSDK
4_1_0_2
IPSDK : Image Processing Software Development Kit
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| ▼Image processing algorithms | Image processing algorithm modules |
| ▶Advanced Morphological image operations | Modules containing advanced morphological operations on images |
| Adaptive Watershed Binary Separation 2d | Adaptive binary watershed 2d algorithm |
| Adaptive Watershed Binary Separation 3d | Adaptive binary watershed 3d algorithm |
| Binary Reconstruction 2d | Binary reconstruction of an image 2d |
| Binary Reconstruction 3d | Binary reconstruction of an image 3d |
| Connected Component 2d | Connected component image 2d labeling algorithm |
| Connected Component 3d | Connected component image 3d labeling algorithm |
| Dilation of 2D labels | Dilate the labels in the input label image until filling all pixels |
| Dilation of 3D labels | Dilate the labels in the input label image until filling all pixels |
| Dilate Local Extrema 2d | Algorithm allowing to extract dilated local extrema 2d from an image |
| Dilate Local Extrema 3d | Algorithm allowing to extract dilated local extrema 3d from an image |
| Fill hole 2d | Holes filling in a binary 2d image |
| Fill hole 3d | Holes filling in a binary 3d image |
| Generic Seeded Distance Map 2d | Generic seeded distance map transform of an input binary image according to a seeded image |
| Generic Seeded Distance Map 3d | Generic seeded distance map transform of a 3d input binary image according to a 3d seeded image |
| Grey Reconstruction 2d | Grey reconstruction of an image 2d |
| Grey Reconstruction 3d | Grey reconstruction of an image 3d |
| Keep big shape 2d | Keep only the big connected components in binary or label 2d image |
| Keep big shape 3d | Keep only the big connected components in binary or label 3d image |
| Local Extrema 2d | Algorithm allowing to extract local extrema 2d from an image |
| Local Extrema 3d | Algorithm allowing to extract local extremum 3d from an image |
| Max Propagation 2d | Propagation of maxima in a 2d image |
| Max Propagation 3d | Propagation of maxima in a 3d image |
| Min Propagation 2d | Propagation of minima in a 2d image |
| Min Propagation 3d | Propagation of minima in a 3d image |
| Remove Border 2d | Removal of connected components in contact with image borders in binary or label 2d images |
| Remove Border 3d | Removal of connected components in contact with image borders in binary 3d images |
| Remove small shape 2d | Removal of small connected component in binary or label 2d image |
| Remove small shape 3d | Removal of small connected component in binary or label 3d image |
| Ridge Line 2d | Computes the shortest path from one border to its opposite, given distance ponderation map |
| Ridge Line 3d | Computes the shortest path from one border to its opposite, given distance ponderation map |
| Seeded Distance Map 2d | Seeded distance map transform of an input binary image according to a seeded image |
| Seeded Distance Map 3d | Seeded distance map transform of a 3d input binary image according to a 3d seeded image |
| Seeded Watershed 2d | Seeded watershed 2d algorithm |
| Seeded Watershed 3d | Seeded watershed 3d algorithm |
| Super Pixels 2d | Function for computing super pixels |
| Super Voxels 3d | Function for computing super voxels |
| Watershed Binary Separation 2d | Algorithm, based on watershed, allowing to separate binary 2d shapes |
| Watershed Binary Separation 3d | Algorithm, based on watershed, allowing to separate binary 3d shapes |
| Watershed Grey Separation 2d | Algorithm, based on watershed, allowing to separate grey 2d shapes |
| Watershed Grey Separation 3d | Algorithm, based on watershed, allowing to separate grey 3d shapes |
| ▶Arithmetic image operations | Modules containing arithmetic operations on images, pixel by pixel |
| Absolute value | Computation of the absolute value of an image, pixel by pixel algorithm |
| Addition | Addition of 2 images |
| Addition with a scalar | Addition of an input image and a scalar |
| Blending | Blending of 2 images |
| Bounding | Algorithm allowing to bound image values to a given range algorithm |
| Cartesian to polar transformation | Computation of the cartesian to polar coordinates transformation |
| Complex Image Multiplication | Multiplication between two complex images |
| Division | Division of one image by another |
| Formula 2d image algorithm | Algorithm allowing to generate a 2d image using a formula string |
| Formula 3d image algorithm | Algorithm allowing to generate a 3d image using a formula string |
| Addition between images with different dimensions | Function for add images with different dimensions |
| Division between images with different dimensions | Functions for divide images with different dimensions |
| Multiplication between images with different dimensions | Multiply images with different dimensions |
| Subtraction between images with different dimensions | Subtract images with different dimensions |
| L1 Norm (taxicab) of 2 images | Computation of L1 (taxicab) norm of two images algorithm |
| L1 Norm (taxicab) of 3 images | Computation of L1 (taxicab) norm of three images algorithm |
| L2 Norm (Euclidian) of 2 images | Computation of L2 (euclidian) norm of two images algorithm |
| L2 Norm (Euclidian) of 3 images | Computation of L2 (euclidian) norm of three images algorithm |
| Linear combination | Linear combination of 2 images, pixel by pixel |
| Maximum of absolute values | Maximum of the absolute values of 2 images, pixel by pixel |
| Maximum | Maximum of 2 images, pixel by pixel algorithm |
| Minimum | Minimum of 2 images, pixel by pixel algorithm |
| Addition between a ponderated image and a scalar | Affine operation on grey levels of an image |
| Multiplication | Multiplication of 2 images |
| Multiplication by a scalar | Multiplication of an input image and a scalar |
| Polar to cartesian transformation | Computation of the polar to cartesian coordinates transformation |
| Rounding | Round values of a floating point image algorithm |
| Square root | Computation of the square root of an image |
| Square | Computation of the square of an image |
| Subtraction | Subtraction of 2 images |
| Subtraction of a scalar and an image | Subtraction of a scalar and an image (scalar - image) |
| ▶Basic Morphological image operations | Modules containing basic morphological operations on images |
| Add a marker in a label image | Assign a new label value to the pixels determined by the input binary image |
| Boundary 2d | Algorithm allowing to extract boundary of a binary 2d image |
| Boundary 3d | Algorithm allowing to extract boundary of a binary 3d image |
| Check multiphased 2d neighourhood | Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| Check multiphased 3d neighourhood | Set the intensity to 1 if the number of neighbours with higher values are greater than the specified input value |
| Closing 2d | Algorithm for image 2d closing |
| Closing 3d | Algorithm for image 3d closing |
| Dilation 2d | Algorithm for image 2d dilation |
| Dilation 3d | Algorithm for image 3d dilation |
| Distance Map 2d | Algorithm for distance map transform computation of an input binary image |
| Distance Map 3d | Algorithm for distance map transform computation of an input binary 3d image |
| Erosion 2d | Algorithm for image 2d erosion |
| Erosion 3d | Algorithm for image 3d erosion |
| HitAndMiss2dImg algorithm | Look for particular patterns of foreground and background given as structuring elements |
| HitAndMiss3dImg algorithm | Look for 3D particular patterns of foreground and background given as structuring elements |
| Morphological Gradient 2d | Gradient computation on a 2d image using morphological operations |
| Morphological Gradient 3d | Gradient computation on a 3d image using morphological operations |
| Opening 2d | Algorithm for image 2d opening |
| Opening 3d | Algorithm for image 3d opening |
| Pruning of 2d skeletons | Reduces skeleton branches. If enough iterations are processed, the branches are completely removed |
| Pruning of 3d skeletons | Reduces 3D skeleton branches. If enough iterations are processed, the branches are completely removed |
| Skeleton 2d calculation | Computes the 2d skeleton image from a binary image |
| Skeleton 3d calculation | Computes the 3d skeleton image from a binary image |
| Union linear closing 2d | Union of closings calculated for several linear structuring element orientations |
| Union linear closing 3d | Union of closings calculated for several linear structuring element orientations on 3d images |
| Union linear opening 2d | Union of opening calculated for several linear structuring element orientations |
| Union linear opening 3d | Union of openings calculated for several linear structuring element orientations on 3d images |
| ▶Binarization image operations | Modules containing binarization operations on images |
| Adaptive Threshold 2d binarization | Binarize an input image according an adaptive threshold based on the pixel's neighbourhood |
| Adaptive Threshold 3d binarization | Binarize a 3d input image according an adaptive threshold based on the voxel's neighbourhood |
| Adaptive Threshold Mean 2d | Binarize an input image according an adaptive threshold based on the mean intensity of the pixel's neighbourhood |
| Adaptive Threshold Mean 3d | Binarize a 3d input image according an adaptive threshold based on the mean intensity of the voxel's neighbourhood |
| Hysteresis Threshold 2d | Apply hysteresis thresholding to an image |
| Hysteresis Threshold 3d | Apply hysteresis thresholding to a 3d image |
| Isodata Threshold computation | Computation of iso data threshold on one image |
| Isodata Threshold binarization | Computation of iso data threshold on one image |
| Kapur Threshold computation | Computation of the binary threshold on one image, using Kapur method |
| Kapur Threshold binarization | Compute the Kapur threshold of an input image, and binarize the image using this threshold |
| Kittler Threshold computation | Computation of the binary threshold on one image, using Kittler method |
| Kittler Threshold binarization | Compute the Kittler threshold of an input image, and binarize the image using this threshold |
| Otsu Threshold computation | Computation of the binary threshold on one image, using Otsu method |
| Otsu Threshold binarization | Compute the Otsu threshold of an input image, and binarize the image using this threshold |
| Simple Threshold binarization | Binarize an input image by thresholding, given minimum and maximum input thresholds |
| TopHat 2d | TopHat binary threshold on one 2d image |
| TopHat 3d | TopHat binary threshold on one 3d image |
| ▶Classification image operations | Modules containing classification operations on images |
| Kernel K-means assignment | Assignment part of Kernel based KMeans clustering algorithm |
| Kernel K-means algorithm | Classifies pixels of an image using Kernel k-means algorithm |
| Clusters assignment algorithm (clusters centroids given in input) | Clusters pixels of an input image based on minimum distance, given a set of clusters centroids |
| Clusters centroids computation algorithm | Compute clusters centroids given an input image and the image of classes |
| KMeansComputeCompactness algorithm | Compute compactness given an input image of classes and clusters centroids |
| K-means algorithm | Classifies pixels of an image using k-means algorithm |
| Image posterization from k-means results algorithm | Posterize an image using the results from k-means algorithm |
| K-Means++ cluster center initialization | Initializes the clusters for K-Mean classification |
| Image dimensionality reduction using PCA | Applies PCA to a sequence image to reduce its dimensionality |
| ▶Color image operations | Modules containing color operations on images |
| Append color channels | Generates a color image by merging the color channel of the two input images |
| Color Space Conversion | Convert a color image from a given color space to another |
| Lightness | Lightness computation for an input color image |
| ▶Image features detection operations | Modules containing features detection operations |
| 2d Canny edge detector | Detects edges in a 2d image using Canny's algorithm |
| 3d Canny surface detector | Detects surfaces in a 3d image using Canny's algorithm |
| Local Extrema Extraction 2d | Finds the local extrema in an image |
| Local Extrema Extraction 3d | Extraction of local extrema (minima or maxima) in a 3d image |
| Harris corner detection 2d | Extracts the corners in an image |
| Harris corner detection 2d image | Computes the Harris corner detection response |
| Harris corner detection 3d | Extracts the corners in a 3d image |
| Harris corner detection 3d image | Computes the Harris corner detection response on a 3d image |
| Hough circles detection | Detects circles in image using Hough algorithm |
| Computation of accumulator matrix for Hough circles detection | Computes the accumulator matrix used by the Hough circles detector ("gradient" method) |
| Computation of complex accumulator matrix for Hough circles detection | Computes the complex accumulator matrix used by the Hough circles detector ("gradient phase-coded" method) |
| Hough lines detection | Detects 2D lines from the extraction of local maxima in the accumulation Hough matrix computed on the input image |
| Computation of accumulator matrix for Hough lines detection | Computes the accumulator matrix used by the Hough lines detector |
| Extension of Hough lines detection based on gradient orientation | Detection of 2D lines in gradient images using extension of Hough algorithm based on gradient orientation |
| Computation of accumulator matrix for extension of Hough lines detection | Computes the accumulator matrix used by the Hough lines detector from gradient images |
| Hough spheres detection | Detects spheres in a 3d image using Hough algorithm |
| Computation of accumulator matrix for Hough spheres detection | Detects spheres in 3d images of gradient using Hough algorithm |
| Hough spheres label 3d image | Creates a label image from 3D spheres detected with te 3D Hough detection algorithm |
| ▶Filtering image operations | Modules containing filtering operations on images |
| Anisotropic diffusion 2d | Anisotropic diffusion smoothing filter on 2d images |
| Anisotropic diffusion 3d | Anisotropic diffusion smoothing filter on 3d images |
| Bilateral smoothing 2d | Bilateral filter on 2d image |
| Bilateral smoothing 3d | Bilateral filter on 3d image |
| Convolution 2d | Compute convolution of an input 2d image with a kernel |
| Convolution 3d | Compute convolution of an input 3d image with a kernel |
| Despeckle Filter 2d | Smoothes the input image replacing aberrant values by the neighbourhood's mean intensity |
| Differential Interference Contrast (DIC) Integration 2D | Differential Interference Contrast (DIC) line integration along a given orientation on 2d images |
| Differential Interference Contrast (DIC) Phase Retrieval 2D | Phase retrieval from Paganin et al. 2004 |
| Fast Cross-Correlation 2d | 2D Cross correlation calculated in the Fourier domain |
| Fast Cross-Correlation 3d | 3D Cross correlation calculated in the Fourier domain |
| Band-pass frequency filtering 2d | Filters an image in Fourier domain by selecting a frequency range |
| Band-pass frequency filtering 3d | Filters a 3d image in Fourier domain by selecting a frequency range |
| Gaussian Gradient 2d | Compute X and Y gradients of an input image convolving it with 2d Gaussian kernels |
| Gaussian Gradient 3d | Compute X, Y and Z gradients of an input image convolving it with 3d Gaussian kernels |
| Gaussian Hessian 2d | Gaussian filter used to compute Hessian on a 2d image |
| Gaussian Hessian 3d | Gaussian filter used to compute Hessian on a 3d image |
| Gaussian Smoothing 2d | Smooth an input image convolving it with a 2d Gaussian kernel |
| Gaussian Smoothing 3d | Smooth an input image convolving it with a 3d Gaussian kernel |
| High-pass 2d | High pass filter on 2d image |
| High-pass 3d | High pass filter on 3d image |
| Laplacian DoG 2d | Laplacian algorithm of input 2d image using a difference of gaussian approximation |
| Laplacian DoG 3d | Laplacian algorithm of input 3d image using a difference of gaussian approximation |
| Difference of Gaussian based Laplacian deblur 2d | 2d image deblur algorithm using Laplacian kernels based on a difference of Gaussian approximation |
| Difference of Gaussian based Laplacian deblur 3d | 3d image deblur algorithm using Laplacian kernels based on a difference of Gaussian approximation |
| Mean Smoothing 2d | Smooth an input 2d image computing local mean of pixels |
| Masked Mean Smoothing 2d | Masked mean filter used to blur a 2d image |
| Mean Smoothing 3d | Smooth an input 3d image computing local mean of pixels |
| Masked Mean Smoothing 3d | Masked mean filter used to blur a 3d image |
| Median 2d | Median filter on a 2d image |
| Median 3d | Median filter on a 3d image |
| Multiscale vessel enhancement 2d | Multiscale vessel enhancement using Frangi's approach |
| Multiscale vessel enhancement 3d | Multiscale vessel enhancement using Frangi's approach on 3d images |
| Normalized Cross-Correlation 2d | Computes the Normalized Cross Correlation between an image and a kernel |
| Normalized Cross-Correlation 3d | Computes the Normalized Cross Correlation between a volume and a 3d kernel |
| Patch-based bilateral filter 2d | Patch-based bilateral filter on 2d image |
| Patch-based bilateral filter 3d | Patch-based bilateral filter used to denoise a 3d image |
| Pearson colocalization mapping 2d | Builds the Pearson's colocalization map computing the Pearson correlation coefficient on each pixel |
| Pearson colocalization mapping 3d | Builds the Pearson's colocalization map computing the Pearson correlation coefficient on each voxel |
| Richardson-Lucy deblur 2d | 2d image deblur algorithm using Laplacian kernels based on the Richardson-Lucy algorithm |
| Richardson-Lucy deblur 3d | 3d image deblur algorithm using Laplacian kernels based on the Richardson-Lucy algorithm |
| Separated bilateral smoothing 2d | Separated version of bilateral filter on 2d image |
| Separated bilateral smoothing 3d | Separated version of bilateral filter on 3d image |
| Sobel Gradient 2d | Compute X and Y gradients of an input image convolving it with 2d Sobel kernels |
| Sobel Gradient 3d | Compute X, Y and Z gradients of an input image convolving it with 3d Sobel kernels |
| Unsharp Mask 2d | Unsharp mask filtering of input 2d image |
| Unsharp Mask 3d | Unsharp mask filtering of input 3d image |
| Variational Stationary Noise Remover 2D | Variational Stationary Noise Remover |
| Z Stack Focus Maximum | Function for computing a contrasted image by maximum along the Z axis |
| Z Stack Focus Ponderation | Function computing a contrasted image by ponderation along the Z axis |
| ▶Image Geometric transformation | Geometric transformation image processing algorithm modules |
| Elastic Warp 2d | Apply a generic motion field to an image |
| Image x-flip algorithm | Flips input image along x-axis |
| Image y-flip algorithm | Flips input image along y-axis |
| Image z-flip algorithm | Flips input image along z-axis |
| ResampleCustomZStack3dImg algorithm | Resamples along z-axis a 3d image with unregularly spaced z-plans |
| ResampleRegularZStack3dImg algorithm | Resamples along z-axis a 3d image with regularly spaced z-plans |
| Cylinder unrolling algorithm | Unrolls into a 2D image a cylinder contained in a 3D image |
| Ring unrolling algorithm | Algorithm allowing to unroll surface of a ring |
| Warping 2d algorithm | Algorithm allowing to apply a motion transformation warping operation on a 2d image |
| Warping 3d algorithm | Algorithm allowing to apply a motion transformation warping operation on a 3d image |
| 2d zoom | Algorithm allowing to resize a 2d image |
| 3d zoom | Algorithm allowing to resize a 3d image |
| ▶Global measure image operations | Modules containing global measure operations on images, pixel by pixel |
| Area Percent 2d measurement | Computes the ratio between the number of pixels and the total image size |
| Counting 2d objects | Count the number of objects in the image |
| Counting 3d objects | Count the number of objects in the 3D input label image |
| Gaussian noise estimation | Estimation of measures of an additive zero-mean Gaussian noise |
| Global Entropy 2d | Compute 2d image global entropy |
| Masked histogram measurement 2d | Calculates the histogram for each 2d plan of the portion of an input image |
| Masked histogram measurement 3d | Calculates the histogram for each 3d volume of the portion of an input image |
| Histogram measurement 2d | Calculates the histogram for each 2d plan of an input image |
| Histogram measurement 3d | Calculates the histogram for each 3d data of an input image |
| Kernel Density Estimator 2d | Algorithm allowing to estimate probability density function of a 2d image |
| Kernel Density Estimator 3d | Algorithm allowing to estimate probability density function of a 3d image |
| Pixel localization 2d | Build the list of the coordinates of the pixels with a value of True in the input binary image |
| Voxel localization 3d | Build the list of the coordinates of the voxels with a value of True in the input binary image |
| Normalized Cross-Correlation Measure 2d | Measures the global Normalized Cross-Correlation between two images |
| Normalized Cross-Correlation Measure 3d | Measures the global Normalized Cross-Correlation between two 3D images |
| Paraboloid Image Fitting 2d | Algorithm fitting intensities of a 2d image with a 3d paraboloid |
| Pearson Correlation Coefficient 2d | Computes the Pearson correlation coefficient in the image |
| Pearson Correlation Coefficient 3d | Computes the Pearson correlation coefficient in the 3d image |
| Sequence projection measurement | Measure of common statistics indicators in the image sequence (mean, max, etc.) computed along the sequence |
| Similarity measurement | Measures of similarity between two images |
| Masked statistics measurement 2d | Measure of common statistics indicators (mean, max, etc.) in an image intersected with a mask for each 2d plan |
| Masked statistics measurement 3d | Measure of common statistics indicators in a 3d image (mean, max, etc.) intersected with a mask |
| Statistics measurement 2d | Measure of common statistics indicators in an image (mean, max, etc.) for each 2d plan |
| Statistics measurement 3d | Measure of common statistics indicators in the image (mean, max, etc.) algorithm |
| Volume Percent 3d measurement | Computes the ratio between the number of pivoxels and the total image size |
| X projection 2d : Statistic measurement along the y axis | Measure of common statistics indicators in the image (mean, max, etc.) computed along the Y axis |
| Y projection 2d : Statistic measurement along the x axis | Measure of common statistics indicators in the image (mean, max, etc.) computed along the X axis |
| Z ProjectionImg algorithm | Measure of common statistics indicators in the image 3d (mean, max, etc.) computed along Z axis |
| ▶Image intensity transformations | Modules containing intensity transformations on images, pixel by pixel |
| Adaptive Contrast Enhancement 2d | Localy adjust the contrast of an image |
| Adaptive Contrast Enhancement 3d | Localy adjust the contrast of an image |
| Backward Discrete Fourier Transform 2d | Backward Discrete Fourier Transform for an input 2d image |
| Backward Discrete Fourier Transform 3d | Backward Discrete Fourier Transform for an input 3d image |
| Image color mapping 2d | Application of a color map on each 2D plan of an input grey-levels image |
| Image color mapping 3d | Application of a color map on each 3D volume of an input grey-levels image |
| Index Compacting | Re-indexes the labels (or class indices) in order to use a minimum range of values |
| Equalization LUT computation | Computes look up table used to equalize an histogram |
| Image Equalization 2d | Computes an output image associated to histogram equalization of each 2d plan of an input image |
| Image Equalization 3d | Computes an output image associated to histogram equalization of an input image |
| Forward Discrete Fourier Transform 2d | Forward Discrete Fourier Transform for an input 2d image |
| Forward Discrete Fourier Transform 3d | Forward Discrete Fourier Transform for an input 3d image |
| Greyscale inversion of 2d image | Algorithm allowing to invert 2d image intensity |
| Greyscale inversion of 3d image | Algorithm allowing to invert 3d image intensity |
| LUT Transformation 2d | Application of a look-up table for each 2d plan of an input image algorithm |
| LUT Transformation 3d | Application of a look-up table on each 3d volume of an input image algorithm |
| Histograms Matching | Compute the LUT that matches 2 histograms |
| Image Histograms Matching 2d | Adjust image dynamic range from a reference using histograms matching |
| Image Histograms Matching 3d | Adjust image dynamic range from a reference using histograms matching |
| Statistical Match | Adjust image dynamic range from a reference using statistics matching |
| Linear normalization | Normalizes the intensity of an image from an optional given input range ![$InOptInputRange = [inMin, inMax]$](form_886.png) to a given output range ![$InOutputRange = [outMin, outMax]$](form_887.png) |
| Shading correction (white image represented as a paraboloid) | Corrects an input image for shading, using an analytic paraboloid model for the white image |
| Shading correction | Corrects an input image for shading |
| Normalization with a sigmoid | Normalizes the intensity of an image with a sigmoid |
| Smart shading correction (white image represented as a paraboloid) | Corrects an input image for shading, using an analytic paraboloid model for the white image, and normalize output image so that it fits an expected dynamic range |
| Smart shading correction | Corrects an input image for shading, and normalize output image so that it fits an expected dynamic range |
| Image Standardization | Computes the z-score for each color plan and each frame |
| ▶Linear algebra image operations | Library containing pixelwise linear algebra calculations |
| QR Solver algorithm | Solves an overdeterminated system Ax=b for each pixel using a QR decomposition |
| ▶Logical image operations | Modules containing bitwise operations on images, pixel by pixel |
| Bitwise and | Bitwise and operation on 2 input images |
| Bitwise nand | Bitwise nand operation on 2 input images |
| Bitwise nor | Bitwise nor operation on 2 input images |
| Bitwise not | Bitwise not operation on one input image |
| Bitwise nxor | Bitwise nxor operation on 2 input images |
| Bitwise or | Bitwise or operation on 2 input images |
| Bitwise Subtraction | Subtract two binary image to remove pixels in the image 2 from the image 1 |
| Bitwise exlusive or | Bitwise exclusive or operation on 2 input images |
| Logical Not | Logical not of a binary input image |
| Mask filter (one input image) | Mask filter algorithm, 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 |
| Mask filter (two input images) | 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 algorithm |
| ▶Machine learning image operations | Library containing machine learning operations |
| Pixel Classification Random Forest Algorithm | Compute Random Forest pixel classification |
| ▶Image Registration | Modules containing image registration processing algorithms |
| DeepFlow between two 2d images | Computes a dense optical flow occurred between two input images |
| Extract grey signed features 2d | Algorithm allowing to extract 2d features associated to a grey signature from an image |
| Extract grey signed features 3d | Algorithm allowing to extract 3d features associated to a grey signature from an image |
| Registration of grey signed features 2d | Algorithm allowing registration of features 2d associated to grey signature |
| Image registration using 2D grey signed features | Apply to the first input image the transform estimated between the two input images using ExtractGreySignedFeatures2d |
| Registration of grey signed features 3d | Algorithm allowing registration of features 3d associated to grey signature |
| Image 2d registration using grey signed features | Algorithm allowing registration of 2d images using features associated to grey signature |
| Image 3d registration using grey signed features | Algorithm allowing registration of 3d images using features associated to grey signature |
| Tracking Step for intensity based registration 2d | Tracking stage for intensity based registration 2d algorithm |
| Training Step for intensity based registration 2d | Training stage for intensity based registration 2d algorithm |
| Intensity based tracker 2d | Intensity based registration tracker 2d algorithm |
| Stack registration | Registration of the slices in a 3D stack using grey signed features and taking into account a cumulative angular bias |
| ▶Shape analysis | Modules containing shape analysis image processing algorithms |
| Label Analysis 2d | Connected component 2d analysis and measurement algorithm |
| Label Analysis 3d | Connected component 3d analysis and measurement algorithm |
| Shape Analysis 2d | Shape 2d analysis and measurement algorithm |
| Shape Analysis 3d | Shape 3d analysis and measurement algorithm |
| Shape Filtering 2d | Shape 2d filtering algorithm |
| Shape Filtering 3d | Shape 3d filtering algorithm |
| ▶Shape segmentation | Modules containing shape segmentation image processing algorithms |
| Label shape extraction 2d | Shape extraction from label 2d image algorithm |
| Label shape extraction 3d | Shape extraction from label 3d image algorithm |
| Shape to label 2d image | Algorithm allowing to create a label 2d image from a collection of shape |
| Shape to label 3d image | Algorithm allowing to create a label 3d image from a collection of shape |
| ▶Statistic on images | Modules containing image statistics computation algorithms |
| Kurtosis 2d | Local 2d image kurtosis computation |
| Kurtosis 3d | Local 3d image kurtosis computation |
| Law's 2D Texture Energy Measures | Apply Law's texture 2d filter on an image |
| Law's 3D Texture Energy Measures | Apply Law's texture 3D filter on an image |
| Local Energy 2d | Local energy on a 2d image |
| Local Energy 3d | Local energy on a 3d image |
| Local Entropy 2d | Local 2d image entropy computation |
| Local Entropy 3d | Local 3d image entropy computation |
| Local histogram module 2d | Lowitz local histogram module on a 2d image |
| Local histogram module 3d | Lowitz local histogram module on a 3d image |
| Skewness 2d | Local 2d image skewness computation |
| Skewness 3d | Local 3d image skewness computation |
| Variance 2d | Local 2d image variance computation |
| Variance 3d | Local 3d image variance computation |
| ▶Utility image processing algorithms | Utility image processing algorithm modules |
| Concatenation of 2 sequences | Algorithm allowing to concatenate two image sequences |
| Build 2D Lines | Generates a binary image with oriented lines |
| Build 3D Lines | Generates a 3D binary image with oriented lines |
| Comparison | Algorithm allowing to compare two images |
| Convert | Algorithm allowing to convert an image to a given type |
| Copy | Algorithm allowing to copy an image |
| Erase | Algorithm allowing to erase values of an image |
| Extract image 2d values | Extract values at specific coordinates from a 2d image |
| Extract image 3d values | Extract values at specific coordinates from a 3d image |
| Normal random | Initialization of an image with random values generated using a normal law |
| Get 2d ROI | Algorithm allowing to copy a 2d ROI of an image |
| Get 3d ROI | Algorithm allowing to copy a 3d ROI of an image |
| Get a slice from a 3d image | Creates a 2D image from a slice along a given axis (x, y, or z) of a 3D image |
| Put 2d ROI | Algorithm allowing to set the the 2d ROI of an image with the content of another image |
| Put 3d ROI | Algorithm allowing to set the the 3d ROI of an image with the content of another image |
| Put a 2d image in a 3d image | Copies a 2D image in a 3D image as a slice in the input slice index along x, y or z |
| Uniform Random | Algorithm filling an image with uniform random sampled values |
| ▼Image processing attributes | Modules containing attributes used for image processing |
| ▶Attributes | Modules containing attributes used for image processing |
| ▶BorderPolicy | Modules containing border policy attributes used for image processing |
| InConvolBorder2d | [Input] Border preparation policy for 2d convolution algorithm |
| InConvolBorder3d | [Input] Border preparation policy for 3d convolution algorithm |
| InOptConvolBorder2d | [Input Optional] Border preparation policy for 2d convolution algorithm |
| InOptConvolBorder3d | [Input Optional] Border preparation policy for 3d convolution algorithm |
| ▶DataItem | Modules containing data item attributes used for image processing |
| InAccumIntensityThreshold | [Input] threshold on accumulation intensities for local maxima extraction |
| InCannyThresholds | [Input] low and high thresholds used for the Canny edges detection during the hysteresis phasis |
| InCenter2d | [Input] 2d center |
| InClusterCenter | [Input] Center of a cluster |
| InClustersCenters | [Input] centers of clusters |
| InClustersPptiesColl | [Input] Collection of clusters properties |
| InColorConversionTransform | [Input] information allowing to convert from a color space to another linked by a linear transform |
| InContourExtractionSettings | [Input] Settings used for contours extraction |
| InCoords2dColl | [Input] collection of cartesian 2d coordinates |
| InCoords3dColl | [Input] collection of cartesian 3d coordinates |
| InCornerDetectionParams | [Input] parameters used during corner detection process |
| InCylinderUnrollingIntegrationParams | [Input] integration parameters for cylinder unrolling process |
| InDeepFlowParams | [Input] Parameters to st up the deep flow |
| InDFTConfig | [Input] configuration for Discrete Fourier Transform algorithm |
| InDistWeight2d | [Input] Weighting coefficients for 2d distance calculation |
| InDistWeight3d | [Input] Weighting coefficients for 3d distance calculation |
| InFlattenedClustersCenters | [Input] flattened collection of clusters centers |
| InGaussianCoverage | [Input] Parameter allowing to specify a gaussian distribution coverage for processing |
| InGaussianParameter | [Input] Parameters describing a Gaussian |
| InGreySignatures2d1 | [Input] first collection of features 2d grey signature used during processing |
| InGreySignatures2d2 | [Input] second collection of features 2d grey signature used during processing |
| InGreySignatures3d1 | [Input] first collection of features 3d grey signature used during processing |
| InGreySignatures3d2 | [Input] second collection of features 3d grey signature used during processing |
| InHistogram | [Input] histogram properties |
| InHistogram1 | [Input] first histogram |
| InHistogram2 | [Input] second histogram |
| InHistoMsrParams | [Input] input parameters of the HistogramMsr algorithm |
| InHoughCircles2dCenters | [Input] Positions of centers of 2d circles detected by 2d Hough algorithm |
| InHoughCirclesKernelXY | [Input] kernel information associated to Hough circles detector (phase-coded implementation) |
| InHoughCirclesPhaseCodedKernelXY | [Input] kernel information associated to Hough circles detector (phase-coded implementation) |
| InHoughCirclesRadiusRange | [Input] range of radius of circles to detect using Hough circles algorithm |
| InHoughSpheres3dCenters | [Input] Positions of centers of 3d spheres detected by 3d Hough algorithm |
| InHoughSpheres3dPpties | [Input] Properties of 3d spheres detected by 3d Hough algorithm |
| InHoughSpheresKernelXYZ | [Input] kernel information associated to Hough circles detector |
| InHysteresisParams | [Input] Parameters for hysteresis threshold |
| InImageValueExtractionMethod | [Input] object allowing to define used image values extraction method |
| InImgComparisonTolerance | [Input] tolerance used in images comparison algorithm |
| InInputImg2dOffset | [Input] input image 2d offset |
| InInputImg2dSize | [Input] input image size associated to operation |
| InInputImg3dOffset | [Input] input image 3d offset |
| InInputImg3dSize | [Input] input image size associated to operation |
| InInputRange | [Input] input image intensity range for algorithm |
| InKDEBandwidthPolicy | [Input] policy used to compute smoothing bandwidth parameter during a kernel density estimation |
| InKKMeansCentroids | [Input] collection of kernel cluster centroid representation |
| InLabelActivationTable | [Input] Label activation table allowing to active labels for drawing |
| InLabelConnectionTable | [Input] Label connections (equivalences) table |
| InLocalExtremaConfig | [Input] Attribute for local extrema calculation configuration |
| InMVEParams | [Input] Parameters for multiscale vessel enhancement algorithm |
| InOptAccumIntensityThreshold | [Input Optional] threshold on accumulation intensities for local maxima extraction |
| InOptAnisotropicGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| InOptContourExtractionSettings | [Input Optional] Settings used for contours extraction |
| InOptCornerDetectionParams2d | [Input Optional] parameters used during corner detection process |
| InOptCornerDetectionParams3d | [Input Optional] parameters used during corner detection process |
| InOptCyclicRgbColorMap | [Input Optional] Cyclic RGB color map |
| InOptCylinderUnrollingIntegrationParams | [Input Optional] integration parameters for cylinder unrolling process |
| InOptDFTConfig | [Input Optional] configuration for Discrete Fourier Transform algorithm |
| InOptGaborParams | [Input Optional] Parameters to generate a Gabor signal |
| InOptGradientGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| InOptHessianGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| InOptHistoMsrParams | [Input Optional] histogram measure parameters |
| InOptHoughCirclesRadiusRange | [Input Optional] range of radius of circles to detect using Hough circles algorithm |
| InOptHoughLinesExtractionParams | [Input Optional] Parameters used for step of extraction of lines in Hough lines algorithm |
| InOptHoughLinesGradientImgParams | [Input Optional] Parameters for Hough lines detection algorithm using 2 input gradient images |
| InOptHoughLinesImgParams | [Input Optional] Parameters for Hough lines detection algorithm |
| InOptImageValueExtractionMethod | [Input Optional] object allowing to define used image values extraction method |
| InOptImgComparisonTolerance | [Input Optional] tolerance used in images comparison algorithm |
| InOptInputRange | [Input Optional] image intensity range for algorithm |
| InOptKDEBandwidthPolicy | [Input Optional] policy used to compute smoothing bandwidth parameter during a kernel density estimation |
| InOptKernelKMeansParams | [Input Optional] parameters for kernel kmeans clustering algorithm |
| InOptLawTexPostProcParams | [Input Optional] Parameters for Law's texture filter input image post-process phasis |
| InOptLawTexPreProcParams | [Input Optional] Parameters for Law's texture filter input image pre-process phasis |
| InOptLawTextureKernel2dTypes | [Input Optional] Types of 2d kernels for Law's texture computation |
| InOptLawTextureKernel3dTypes | [Input Optional] Types of 3d kernels for Law's texture computation |
| InOptLocalExtremaConfig | [Input Optional] Attribute for local extrema calculation configuration |
| InOptPatchBasedBilateralParams | [Input Optional] parameters of patch-based bilateral filter |
| InOptPCAReductionParams | [Input Optional] Parameters for sequence image dimensionality reduction using a PCA |
| InOptPICyclicRgbColorMap | [In Optional] Plan indexed collection of cyclic RGB color maps |
| InOptPIHistogram | [Input Optional] Plan indexed collection of histogram properties |
| InOptPIHistoMsrParams | [Input] Plan indexed collection of histogram measure parameters |
| InOptPIPatchBasedBilateralParams | [In Optional] Plan indexed collection of parameters for patch-based bilateral filter |
| InOptPIRefHistogram | [Input] Plan indexed collection of reference histograms |
| InOptPISmoothRgbColorMap | [In Optional] Plan indexed collection of smooth RGB color maps |
| InOptPIWarpMotionTransform2dColl | [Input Optional] plan indexed collection of 2d geometric transform |
| InOptRefHistogram | [Input Optional] reference histogram |
| InOptRefStatsIndicators | [Input Optional] statistical indicators of reference |
| InOptRegistrationEstimationConfig | [Input Optional] configuration for robust estimation part of features registration |
| InOptRegistrationTracking2dGrid | [Input Optional] tracking grid used during tracking 2d process |
| InOptRegistrationTraining2dConfig | [Input Optional] configuration for registration training phasis |
| InOptRemoveTooCloseCirclesParams | [Input Optional] parameters of "removing too close circles" phasis in Hough circles detection |
| InOptSamplingBallInfo2d | [Input Optional] Parameters for used sampling ball around image points |
| InOptSamplingBallInfo3d | [Input Optional] Parameters for used sampling ball around image points |
| InOptScaleCandidates | [Input Optional] scale candidates for processing |
| InOptScaleFactor2d | [Input Optional] 2d scale factor |
| InOptScaleFactor3d | [Input Optional] 3d scale factor |
| InOptSmoothingGaussianCoverage | [Input Optional] Parameter allowing to specify a gaussian distribution coverage for processing |
| InOptSmoothRgbColorMap | [Input Optional] Smooth RGB color map |
| InOptSurfaceExtractionSettings | [Input Optional] Settings used for surfaces extraction |
| InOptWarpMotionTransform2dColl | [Input Optional] collection of 2d geometric transform |
| InOutClustersCenters | [InOut] Centers of clusters |
| InOutCoords2dColl | [Input] collection of cartesian 2d coordinates |
| InOutCoords3dColl | [Input] collection of cartesian 3d coordinates |
| InOutEigen2dDataColl | [InOut] collection of eigen decomposition 2d data |
| InOutEigen3dDataColl | [InOut] collection of eigen decomposition 3d data |
| InOutGreySignatures2d | [InOut] collection of features 2d grey signature used during processing |
| InOutGreySignatures3d | [InOut] collection of features 3d grey signature used during processing |
| InOutHistogram | [InOut] Contains the histogram information used for histogram calculation |
| InOutOptClustersCenters | [InOut Optional] Centers of clusters |
| InOutOptClustersPptiesColl | [InOut Optional] Collection of clusters properties |
| InOutOptHistogram | [InOut Optional] histogram properties |
| InOutPixels2d | [InOut] positions and intensities of 2d pixels |
| InOutputImg2dSize | [Input] output image 2d size |
| InOutputImg3dSize | [Input] output image 3d size |
| InOutputRange | [Input] output image intensity range for algorithm |
| InOutRegistrationTracking2dData | [InOut] data used during registration 2d tracking |
| InOutVoxels3d | [InOut] positions and intensities of 3d voxels |
| InParaboloidParams3d | [Input] Parameters defining a 3d paraboloid |
| InPatchBasedBilateralParams | [Input] parameters of patch-based bilateral filter |
| InPCAEigenVectors | [Input] Eigen vectors of matrix computed for PCA |
| InPICoords2dColl | [Input] plan indexed collection of cartesian 2d coordinates |
| InPICoords3dColl | [Input] plan indexed collection of cartesian 3d coordinates |
| OutHoughSpheres3dPpties | [Output] Properties of 3d spheres detected by 3d Hough algorithm |
| InPIIntensityLUT | [Input] Plan indexed collection of intensity look-up tables |
| InPIOutputRange | [Input] Plan indexed collection of output ranges |
| InPIParaboloidParams3d | [Input] Plan indexed collection of 3d parameters of paraboloids |
| InPixels2d | [Input] Positions and intensities of 2d pixels |
| InPixelsColor | [Input] Collection of pixels with color intensities |
| InRandomForestModel | [Input] Complete model of the random forest |
| InRegistrationTraining2dData | [Input] data associated to training phasis of intensity based 2d registration algorithm |
| InRemoveTooCloseCirclesParams | [Input] parameters of "removing too close circles" phasis in Hough circles detection |
| InSamplingBallInfo | [Input] Parameters for used sampling ball around image points |
| InSamplingRingInfo | [Input] Parameters for used sampling ring around image points |
| InScaleCandidates | [Input] scale candidates for processing |
| InScaleFactor2d | [Input] 2d scale factor |
| InScaleFactor3d | [Input] 3d scale factor |
| InSizeSuperPixels | [Input] Real size of super pixels |
| InStatsResult | [Input] Collection of results for image statistics measure operation |
| InSurfaceExtractionSettings | [Input] Settings used for surfaces extraction |
| InTabulatedRangeExponentials | [Input] tabulated range-related exponential factors for bilateral filter |
| InTabulatedSpaceExponentials | [Input] tabulated space-related exponential factors for bilateral filter |
| InInZSteps | [Input] collection of distances between successive z-plans of the image |
| OutClustersCenters | [Output] Centers of clusters |
| OutClustersPptiesColl | [Output] Collection of clusters properties |
| OutCompareResult | [Output] Result for images comparison operation |
| OutDistWeight2d | [Output] Weighting coefficients for 2d distance calculation |
| OutDistWeight3d | [Output] Weighting coefficients for 3d distance calculation |
| OutFeatures2dRegistrationResult | [Output] result of features 2d registration algorithm |
| OutFeatures2dRegistrationResults | [Output] collection of results for features 2d registration algorithm |
| OutFeatures3dRegistrationResult | [Output] result of features 3d registration algorithm |
| OutFeatures3dRegistrationResults | [Output] collection of results for features 3d registration algorithm |
| OutFlattenedClustersCenters | [Output] flattened collection of clusters centers |
| OutGaussianNoiseStats | |
| OutGlobalEntropyResult | [Output] Global entropy measure |
| OutGreySignatures2d | [Output] collection of features 2d grey signature used during processing |
| OutGreySignatures3d | [Output] collection of features 3d grey signature used during processing |
| OutHistogram | [Output] Contains the result of a histogram calculation on an input image |
| OutHoughCircles2dPpties | [Output] Properties of 2d circles detected by 2d Hough algorithm |
| OutHoughLines2dPpties | [Output] Properties of 2d lines detected by 2d Hough algorithm |
| OutImgGreyValues | [Output] grey level values extracted from an image |
| OutIndexableUInt64 | [Output] container allowing to create a plan index of a single UInt64 |
| OutIntensityLUT | [Output] intensity lookup table used by algorithm |
| OutInterStripLabelConnections | [Output] Inter strip labels connections informations |
| OutKDEDataSet | [Output] data set associated to a kernel density estimator |
| OutKKMeansCentroids | [Output] collection of kernel cluster centroid representation |
| OutKMeansAssignmentInfo | [Output] information resulting from assignment step in k-means algorithm |
| OutKMeansCompactnessInfo | [Output] Data item storing information necessary to compute compactness during k-means process |
| OutKMeansPPClusterInitInfo | [Output] Information used by the K-Means cluster initialization algorithm |
| OutLabelActivationTable | [Output] Label activation table allowing to active labels for drawing |
| OutLabelConnectionTable | [Output] Label connections (equivalences) table |
| OutLabelInfo | [Output] Image Label information |
| OutMatrix | [Output] Matrix |
| OutMatrixSums | [Output] Vector containing the elements of matrix of sums used for the computation of paraboloid fitting a 2d image |
| OutMaxValIdx | [Output] Contains the maximum value and its index |
| OutMostEccentricClusterEltInfo | [Output] information associated to the most eccentric element of a given cluster |
| OutNbModifiedPixels | [Output] number of pixels modified by the algorithm |
| OutNCCResult | [Output] Result and intermediary results of the global NCC calculation |
| OutOptKMeansAssignmentInfo | [Output Optional] information resulting from assignment step in k-means algorithm |
| OutOptNbEltsPerCluster | [Output Optional] Number of elements per cluster |
| OutParaboloidParams3d | [Output] Parameters defining a 3d paraboloid |
| OutPatchBasedBilateralParams | [Output] Parameters for patch-based bilateral filter |
| OutPCAEigenValues | [Output] Eigen values of matrix computed for PCA |
| OutPCAEigenVectors | [Output] Eigen vectors of matrix computed for PCA |
| OutPearsonCCResult | [Output] Pearson correlation coefficient |
| OutPIGlobalEntropyResult | [Output] Plan indexed global entropy measure |
| OutPIGreySignatures2d | [Output] collection of features 2d grey signature used during processing |
| OutPIGreySignatures3d | |
| OutPIHistogram | [Output] Plan indexed collection of histogram properties |
| OutPIImgGreyValues | [Output] plan indexed collection of grey level values extracted from an image |
| OutPIIndexableUInt64 | [Output] Plan indexed collection of container allowing to create a plan index of a single UInt64 |
| OutPIKDEDataSet | [Output] plan indexed collection of kernel density estimator result data set |
| OutPINCCResult | [Output] Plan indexed collection of NCC results |
| OutPIParaboloidParams3d | [Output] Plan indexed collection of 3d parameters of paraboloids |
| OutPIPatchBasedBilateralParams | [Output] Plan indexed collection of parameters for patch-based bilateral filter |
| OutPIPearsonCCResult | [Output] Plan indexed collection of results for Pearson correlation coefficient |
| OutPixels2d | [Output] positions and intensities of 2d pixels |
| OutPIRegistrationMotionTransform2d | [Output] Plan indexed collection of motion transforms 2d used during processing |
| OutPIStatsResult | [Output] Plan indexed collection of results for image statistics measure operation |
| OutPIValues | [Output] plan indexed collection of values |
| OutPIVoxels3d | [Output] plan indexed collection of positions and intensities of 3d voxels |
| OutWarpMotionTransform2dColl | [Output] collection of motion transformation parameters associated to 2d warp operations |
| OutProjStat | [Output] Vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction |
| OutProjStat1 | [Output] First vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction |
| OutProjStat2 | [Output] Second vector containing the measure of common statistics indicators in the image (mean, max, etc.) along a given direction |
| OutRegistrationMotionTransform2d | [Output] transformation associated to a 2d motion |
| OutRegistrationTracking2dData | [Output] data used during registration 2d tracking |
| OutRegistrationTraining2dData | [Output] data associated to training phasis of intensity based 2d registration algorithm |
| OutSimilarityStats | [Output] Similarity statistics bewteen two images |
| OutStatsResult | [Output] Result for image statistics measure operation |
| OutSuperPixelUpdateCenters | [Output] Collection of super pixel update centers |
| OutValues | [Output] Generic collection of values |
| OutVoxels3d | [Output] positions and intensities of 3d voxels |
| InDicPhaseRetrievalParams | [Input] Attribute for the set of parameter used for the DIC phase retrieval algorithm |
| InWarpMotionTransform2d | [Input] motion transformation parameters associated to 2d warp operations |
| InWarpMotionTransform3d | [Input] motion transformation parameters associated to 3d warp operations |
| ▶Enumerate | Modules containing enumerate attributes used for image processing |
| InCircleIntensityType | [Input] circle intensity type for detection algorithms |
| InDFTDirection | [Input] Discrete Fourier Transform computation direction |
| InDFTQuadrantsPolicy | [Input] quadrants policy used to store Discrete Fourier Transform data |
| InExtremumExtractType | [Input] extremum feature extraction type associated to algorithm |
| InHoughCircles2dAlgoMethod | [Input] Hough circles 2d detector method |
| InInterpolationPolicy | [Input] interpolation policy used to extract local data from image |
| InLabelReindexingPolicy | [Input] used label reindexing policy |
| InLightnessType | [Input] Type of conversion to obtain a grey level image from a color image |
| InLocalExtremumType | [Input] local extremum type |
| InMaskMode | [Input] Inform about the use of a binary mask |
| InMatchStatsCriterion | [Input] criterion used to adjust image dynamic |
| InOptBorderExtensionPolicy | [Input Optional] flag indicating border extension policy for processing |
| InOptCircleIntensityType | [Input Optional] circle intensity type for detection algorithms |
| InOptHoughCircles2dAlgoMethod | [Input Optional] Hough circles 2d detector method |
| InOptInterpolationPolicy | [Input Optional] interpolation policy used to extract local data from image |
| InOptLabelReindexingPolicy | [Input Optional] used label reindexing policy |
| InOptMaskMode | [Input Optional] Inform about the use of a binary mask |
| InOptOptimizationPolicy | [Input Optional] processing optimization policy for algorithm |
| InOptRegMotionModel2d | [Input Optional] 2d motion model which should be used for computation |
| InOptRegMotionModel3d | [Input Optional] 3d motion model which should be used for computation |
| InOptSkeletonAlgoType | [Input Optional] Determine the skeleton calculation method |
| InOptSobelKernelType | [Input Optional] kernel type for Sobel gradient filter |
| InSuperPixelsType | [Input Optional] Type of input parameter for super pixels algorithm (number of super pixels or size) |
| InOptWatershedProcMode | [Input Optional] Watershed processing mode |
| InProjStatType | [Input] Predefined types for a statistical projection algorithm |
| InRandomAlgoType | [Input] Informs if the algorithm uses a random approach or not (used for instance in the KMeansPPClusterInit algorithm) |
| InRegMotionModel2d | [Input] 2d motion model which should be used for computation |
| InRegMotionModel3d | [Input] 3d motion model which should be used for computation |
| InShapeGreyscaleType | [Input] shape greyscale type considered during processing |
| InWatershedOutputMode | [Input] parameter allowing to define watershed output mode |
| InWatershedProcMode | [Input] Watershed processing mode |
| InWatershedSeparationMode | [Input] parameter allowing to define watershed separation mode |
| InZoomInterpolationMethod | [Input] interpolation method for image zoom algorithms |
| ▶Formula | Modules containing formula attributes used for image processing |
| InFilterFormula | [Input] Logic measure formula used for shape analysis filtering stage |
| InImageFormula2d | [Input] Image formula 2d used for image generation |
| InImageFormula3d | [Input] Image formula 3d used for image generation |
| ▶Geometry entity collection | Modules containing geometry entity collection attributes used for image processing |
| InLabelsShape2d | [Input] Collection of shape 2d associated to labels |
| InLabelsShape3d | [Input] Collection of shape 3d associated to labels |
| InOutLabelsShape3d | [InOut] Collection of shape 3d associated to labels |
| InPILabelsShape3d | [Input] Plan indexed collection of shape 3d associated to labels |
| InPILabelsShape2d | [Input] Plan indexed collection of shape 2d associated to labels |
| OutLabelsShape2d | [Output] Collection of shape 2d associated to labels |
| OutLabelsShape3d | [Output] Collection of shape 3d associated to labels |
| OutPILabelsShape2d | [Output] Plan indexed collection of shape 2d associated to labels |
| OutPILabelsShape3d | [Output] Plan indexed collection of shape 3d associated to labels |
| InOptLabelsShape2d2 | [Input Optional] second collection of shape 2d associated to labels |
| InOptLabelsShape2d3 | [Input Optional] third collection of shape 2d associated to labels |
| InOptLabelsShape2d4 | [Input Optional] fourth collection of shape 2d associated to labels |
| InOptLabelsShape3d2 | [Input Optional] second collection of shape 3d associated to labels |
| InOptLabelsShape3d3 | [Input Optional] third collection of shape 3d associated to labels |
| InOptLabelsShape3d4 | [Input Optional] fourth collection of shape 3d associated to labels |
| InOptPILabelsShape2d2 | [Input Optional] second plan indexed collection of shape 2d associated to labels |
| InOptPILabelsShape2d3 | [Input Optional] third plan indexed collection of shape 2d associated to labels |
| InOptPILabelsShape2d4 | [Input Optional] fourth plan indexed collection of shape 2d associated to labels |
| InOptPILabelsShape3d2 | [Input Optional] second plan indexed collection of shape 3d associated to labels |
| InOptPILabelsShape3d3 | [Input Optional] third plan indexed collection of shape 3d associated to labels |
| InOptPILabelsShape3d4 | [Input Optional] fourth plan indexed collection of shape 3d associated to labels |
| ▶Image | Modules containing image attributes used for image processing |
| InDxImg | [Input] Displacement map along the x-axis |
| InDyImg | [Input] Displacement map along the y-axis |
| InOutImg | [InOut] image for processing operation |
| InOutOptWk1RealImg | [InOut Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| InGreyImg2d | [Input] 2d grey levels image |
| InGreySeqImg2d | [Input] grey level sequence image 2d for processing operation |
| InGxGreyImg2d | [Input] 2d grey levels image of gradient computed along x-axis |
| InGxSingleGreyImg2d | [Input] single grey-levels 2d image of gradient computed along x-axis |
| InGyGreyImg2d | [Input] 2d grey levels image of gradient computed along y-axis |
| InGySingleGreyImg2d | [Input] single grey-levels 2d image of gradient computed along y-axis |
| InImg2d | [Input] 2d image for operation |
| InOriginImg2d | [Input] Origin 2d image provided to registration algorithm |
| InSingleGreyComplexImImg2d | [Input] imaginary part of a complex single grey-levels 2d image |
| InSingleGreyComplexRealImg2d | [Input] real part of a complex single grey-levels 2d image |
| InSingleGreyImg2d | [Input] single grey-levels 2d image |
| InTargetImg2d | [Input] Target 2d image provided to registration algorithm |
| InOptGreyImg2d | [Input Optional] grey-levels 2d image |
| InOptGxGreyImg2d | [Input Optional] grey-levels 2d image of gradient computed along x-axis |
| InOptGyGreyImg2d | [Input Optional] grey-levels 2d image of gradient computed along y-axis |
| InBinImg3d | [Input] binary 3d image for processing operation |
| InBinLabImg3d | [Input] binary or label 3d image for processing operation |
| InBinMarkImg3d | [Input] binary 3d marker image for processing operation |
| InBinSeedImg3d | [Input] 3d seeded binary image |
| InDFTImg3d1 | [Input] first element for 3d Discreet Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| InDFTImg3d2 | [Input] second element for 3d Discreet Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| InGreyMarkImg3d | [Input] grey marker3d image for processing operation |
| InGreyMsrImg3d | [Input] grey image 3d used for intensity measurements |
| InGreyUIntImg3d | [Input] 3d grey levels image (data contained in image buffer are unsigned integers) |
| InGxGreyImg3d | [Input] 3d grey levels image of gradient computed along x-axis |
| InGxImg3d | [Input] image 3d of gradient computed along x axis |
| InGyGreyImg3d | [Input] 3d grey levels image of gradient computed along y-axis |
| InGyImg3d | [Input] image 3d of gradient computed along y axis |
| InGzGreyImg3d | [Input] 3d grey levels image of gradient computed along z-axis |
| InGzImg3d | [Input] image 3d of gradient computed along z axis |
| InImg3d | [Input] 3d image for operation |
| InImg3d1 | [Input] First 3d image for operation |
| InImg3d2 | [Input] Second 3d image for operation |
| InImg3d3 | [Input] Third 3d image for operation |
| InIntImg3d | [Input] image 3d for processing operation (data contained in image buffer are integers) |
| InLabelImg3d | [Input] label image 3d for processing operation |
| InLabMarkImg3d | [Input] label marker image 3d for processing operation |
| InOriginImg3d | [Input] Origin 3d image provided to registration algorithm |
| InROIImg3d | [Input] 3d ROI image for operation |
| InSingleImg3d | [Input] single 3d image |
| InTargetImg3d | [Input] Target 3d image provided to registration algorithm |
| InOptBinImg3d1 | [Input Optional] first binary image 3d for operation |
| InOptBinImg3d2 | [Input Optional] second binary image 3d for operation |
| InOptBinImg3d3 | [Input Optional] third binary image 3d for operation |
| InOptGreyImg3d | [Input Optional] grey-levels 3d image |
| InOptGxGreyImg3d | [Input Optional] grey-levels 3d image of gradient computed along x-axis |
| InOptGyGreyImg3d | [Input Optional] grey-levels 3d image of gradient computed along y-axis |
| InOptGzGreyImg3d | [Input Optional] grey-levels 3d image of gradient computed along z-axis |
| InOptImg3d1 | [Input Optional] first input image 3d for operation |
| InOptImg3d2 | [Input Optional] second input image 3d for operation |
| InOptImg3d3 | [Input Optional] third input image 3d for operation |
| InOptLabImg3d1 | [Input Optional] first label image 3d for operation |
| InOptLabImg3d2 | [Input Optional] second label image 3d for operation |
| InOptLabImg3d3 | [Input Optional] third label image 3d for operation |
| InBinImg | [Input] binary image for processing operation |
| InBinLabImg | [Input] binary or label image for processing operation |
| InBinMarkImg | [Input] binary marker image for processing operation |
| InBinSeedImg | [Input] Seeded binary image |
| InClassImg | [Input] Image of classes |
| InColorImg | [Input] color image for processing operation |
| InColorImg1 | [Input] First color image |
| InColorImg2 | [Input] Second color image |
| InDFTImg1 | [Input] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| InDFTImg2 | [Input] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| InGreyMarkImg | [Input] grey marker image for processing operation |
| InGreyMsrImg | [Input] grey image used for intensity measurements |
| InGreyUIntImg | [Input] grey levels image (data contained in image buffer are unsigned integers) |
| InGxImg | [Input] image of gradient computed along x axis |
| InGyImg | [Input] image of gradient computed along Y axis |
| InHomogeneousImg | [Input] Homogeneous image |
| InImg | [Input] image for processing operation |
| InImg1 | [Input] First image for processing operation |
| InImg2 | [Input] Second image for processing operation |
| InImg3 | [Input] Third image for processing operation |
| InImg4 | [Input] Fourth image for processing operation |
| InIntImg | [Input] image for processing operation (data contained in image buffer are integers) |
| InIntImg1 | [Input] First image for processing operation (data contained in image buffer are integers) |
| InIntImg2 | [Input] Second image for processing operation (data contained in image buffer are integers) |
| InLabClassImg | [Input] Image containing labels or class indices |
| InLabelImg | [Input] label image for processing operation |
| InLabMarkImg | [Input] label marker image for processing operation |
| InMaskImg | [Input] Binary image for masking operation |
| InRealImg | [Input] image for processing operation (data contained in image buffer are reals) |
| InRgbImg | [Input] RGB color image for processing operation |
| InRhoImg | [Input] rho component of polar coordinates |
| InROIImg | [Input] ROI image for processing operation |
| InSeqImg | [Input] sequence image for processing operation |
| InSeqImg1 | [Input] First input image sequence |
| InSeqImg2 | [Input] Second input sequence image |
| InSingleImg | [Input] single image |
| InSingleImg1 | [Input] First single image |
| InSingleImg2 | [Input] Second single image |
| InThetaImg | [Input] theta component of polar coordinates |
| InXImg | [Input] x component of cartesian coordinates |
| InYImg | [Input] y component of cartesian coordinates |
| InOptBinImg1 | [Input Optional] first binary image for operation |
| InOptBinImg2 | [Input Optional] second binary image for operation |
| InOptBinImg3 | [Input Optional] third binary image for operation |
| InOptImg1 | [Input Optional] first input image for operation |
| InOptImg2 | [Input Optional] second input image for operation |
| InOptImg3 | [Input Optional] third input image for operation |
| InOptLabImg1 | [Input Optional] first label image for operation |
| InOptLabImg2 | [Input Optional] second label image for operation |
| InOptLabImg3 | [Input Optional] third label image for operation |
| InOptMaskImg | [Input Optional] Binary image for masking operation |
| InOptRealSeqImg | [InOut Optional] Real sequence image |
| InOptRefImg | [Input Optional] reference image |
| InOptSingleGreyMaskImg | [Input Optional] Binary image for masking operation for each (x, y, z) coordinate regardless to (c, t) coordinates |
| OutOptGxGreyImg2d | [Output Optional] grey-levels 2d image of gradient computed along x-axis |
| OutOptGyGreyImg2d | [Output Optional] grey-levels 2d image of gradient computed along y-axis |
| OutOptLabelImg2d | [Output Optional] label image 2d for processing operation |
| OutImg | [Output] 2d image for processing operation |
| OutOptGradXImg3d | [Output Optional] 3d image associated to X component of gradient computation |
| OutOptGradYImg3d | [Output Optional] 3d image associated to Y component of gradient computation |
| OutOptGradZImg3d | [Output Optional] 3d image associated to Z component of gradient computation |
| OutBinImg3d | [Output] 3D binary image |
| OutGreyImg3d | [Output] grey image 3d for processing operation |
| OutLabelImg3d | [Output] label image 3d for processing operation |
| OutOptWk1RealGpuImg | [Output Optional] Temporary working image for GPU processes (data contained in image buffer are reals) |
| OutOptBinImg | [Output Optional] binary image |
| OutOptClassImg | [Output Optional] Image of classes |
| OutOptGradXImg | [Output Optional] image associated to X component of gradient computation |
| OutOptGradYImg | [Output Optional] image associated to Y component of gradient computation |
| OutOptImg | [Output Optional] image for processing operation |
| OutOptMaskImg | [Output Optional] mask image for processing operation |
| OutOptPosterizedImg | [Output Optional] Posterized image |
| OutOptRealImg | [Output Optional] image for processing operation (data contained in image buffer are reals) |
| OutOptRealImg1 | [Output Optional] image for processing operation (data contained in image buffer are reals) |
| OutOptRealImg2 | [Output Optional] image for processing operation (data contained in image buffer are reals) |
| OutOptImg | [Output Optional] sequence image for processing operation |
| OutBinImg | [Output] binary image for processing operation |
| OutBinLabImg | [Output] binary or label image for processing operation |
| OutClassImg | [Output] Image of classes |
| OutColorImg | [Output] color image for processing operation |
| OutComplexImImg | [Output Optional] Imaginary part of the complex image resulting from Hough circles detection |
| OutComplexRealImg | [Output Optional] Real part of the complex image resulting from Hough circles detection |
| OutDFTImg1 | [Output] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| OutDFTImg2 | [Output] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| OutDistImg | [Output] distance map image |
| OutGxGxImg | [Output] image containing squares of gradient values computed along x-axis |
| OutGxGyImg | [Output] image containing products of of gradient values computed along x-axis with gradient values computed along y-axis |
| OutGxGzImg | [Output] image containing products of of gradient values computed along x-axis with gradient values computed along y-axis |
| OutGyGyImg | [Output] image containing squares of gradient values computed along y-axis |
| OutGyGzImg | [Output] image containing products of of gradient values computed along x-axis with gradient values computed along y-axis |
| OutGzGzImg | [Output] image containing squares of gradient values computed along y-axis |
| OutHxxImg | [Output] image of hessian (x-x axis) |
| OutHxyImg | [Output] image of image of hessian (x-y axis) |
| OutHxzImg | [Output] image of hessian (x-z axis) |
| OutHyyImg | [Output] image of hessian (y-y axis) |
| OutHyzImg | [Output] image of image of hessian (y-z axis) |
| OutHzzImg | [Output] image of image of hessian (z-z axis) |
| OutImg | [Output] image for processing operation |
| OutImg1 | [Output] First output image |
| OutImg2 | [Output] Second output image |
| OutIntImg | [Output] image containing integers |
| OutLabClassImg | [Output] Image containing labels or class indices |
| OutLabelImg | [Output] label image for processing operation |
| OutLightImg | [Output] lightness image |
| OutPosterizedImg | [Output] PosterizedImg |
| OutRealImg | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg1 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg10 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg2 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg3 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg4 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg5 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg6 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg7 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg8 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealImg9 | [Output] image for processing operation (data contained in image buffer are reals) |
| OutRealSeqImg | [Output] Real sequence image |
| OutRealSeqImg1 | [Output] First real sequence image |
| OutRealSeqImg2 | [Output] Second real sequence image |
| OutRgbImg | [Output] Rgb color image for processing operation |
| OutRgbUInt8Img | [Output] Rgb color uint8 image for processing operation |
| OutRhoImg | [Output] rho component of polar coordinates |
| OutSingleImg | [Output] single image |
| OutThetaImg | [Output] theta component of polar coordinates |
| OutXImg | [Output] x component of cartesian coordinates |
| OutYImg | [Output] y component of cartesian coordinates |
| OutOptWk1BinImg | [Output Optional] Temporary working image for algorithm |
| OutOptWk1Img | [Output Optional] Temporary working image for algorithm |
| OutOptWk1LabelImg | [Output Optional] Temporary working image for algorithm |
| OutOptWk1RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk2BinImg | [Output Optional] Temporary working image for algorithm |
| OutOptWk2Img | [Output Optional] Temporary working image for algorithm |
| OutOptWk2LabelImg | [Output Optional] Temporary working image for algorithm |
| OutOptWk2RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk3Img | [Output Optional] Temporary working image for algorithm |
| OutOptWk3RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk4RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk5RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk6RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk7RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWk8RealImg | [Output Optional] Temporary working image for algorithm (data contained in image buffer are reals) |
| OutOptWkClassImg | [Output Optional] Temporary working image for algorithm |
| OutWk10RealImg | [Output] Temporary working image for algorithm |
| OutWk11RealImg | [Output] Temporary working image for algorithm |
| OutWk12RealImg | [Output] Temporary working image for algorithm |
| OutWk13RealImg | [Output] Temporary working image for algorithm |
| OutWk14RealImg | [Output] Temporary working image for algorithm |
| OutWk15RealImg | [Output] Temporary working image for algorithm |
| OutWk16RealImg | [Output] Temporary working image for algorithm |
| OutWk17RealImg | [Output] Temporary working image for algorithm |
| OutWk18RealImg | [Output] Temporary working image for algorithm |
| OutWk19RealImg | [Output] Temporary working image for algorithm |
| OutWk1BinImg | [Output] Temporary working image for algorithm |
| OutWk1ColorImg | [Output] Temporary working color image for algorithm |
| OutWk1DistImg | [Output] Temporary working image for algorithm |
| OutWk1Img | [Output] Temporary working image for algorithm |
| OutWk1LabelImg | [Output] Temporary working image for algorithm |
| OutWk1RealImg | [Output] Temporary working image for algorithm |
| OutWk20RealImg | [Output] Temporary working image for algorithm |
| OutWk21RealImg | [Output] Temporary working image for algorithm |
| OutWk22RealImg | [Output] Temporary working image for algorithm |
| OutWk2BinImg | [Output] Second temporary working image for algorithm |
| OutWk2Img | [Output] Temporary working image for algorithm |
| OutWk2LabelImg | [Output] Temporary working image for algorithm |
| OutWk2RealImg | [Output] Temporary working image for algorithm |
| OutWk3Img | [Output] Temporary working image for algorithm |
| OutWk3RealImg | [Output] Temporary working image for algorithm |
| OutWk4Img | [Output] Temporary working image for algorithm |
| OutWk4RealImg | [Output] Temporary working image for algorithm |
| OutWk5Img | [Output] Temporary working image for algorithm |
| OutWk5RealImg | [Output] Temporary working image for algorithm |
| OutWk6Img | [Output] Temporary working image for algorithm |
| OutWk6RealImg | [Output] Temporary working image for algorithm |
| OutWk7Img | [Output] Temporary working image for algorithm |
| OutWk7RealImg | [Output] Temporary working image for algorithm |
| OutWk8RealImg | [Output] Temporary working image for algorithm |
| OutWk9RealImg | [Output] Temporary working image for algorithm |
| InOptGreyMsrImg1 | [Input Optional] first grey image used for intensity measurements |
| InOptGreyMsrImg2 | [Input Optional] second grey image used for intensity measurements |
| InOptGreyMsrImg3 | [Input Optional] thirid grey image used for intensity measurements |
| InOptGreyMsrImg3d1 | [Input Optional] first grey image3d used for intensity measurements |
| InOptGreyMsrImg3d2 | [Input Optional] second grey image3d used for intensity measurements |
| InOptGreyMsrImg3d3 | [Input Optional] third grey image3d used for intensity measurements |
| InOptGreyMsrImg3d4 | [Input Optional] fourth grey image3d used for intensity measurements |
| InOptGreyMsrImg4 | [Input Optional] fourth grey image used for intensity measurements |
| InOptSubColorOrGreyImg2d1 | [Input Optional] first color or grey image 2d for processing operation |
| InOptSubColorOrGreyImg2d2 | [Input Optional] second color or grey image 2d for processing operation |
| InOptSubColorOrGreyImg2d3 | [Input Optional] third color or grey image 2d for processing operation |
| InOptSubColorOrGreyImg2d4 | [Input Optional] fourth color or grey image 2d for processing operation |
| InOptSubColorOrGreyImg3d1 | [Input Optional] first color or grey image 3d for processing operation |
| InOptSubColorOrGreyImg3d2 | [Input Optional] second color or grey image 3d for processing operation |
| InOptSubColorOrGreyImg3d3 | [Input Optional] third color or grey image 3d for processing operation |
| InOptSubColorOrGreyImg3d4 | [Input Optional] fourth color or grey image 3d for processing operation |
| ▶Image buffer type | Modules containing image buffer type attributes used for image processing |
| InAxis | [Input] Indicates the axis to process |
| InFrequencyBandPassFilterType | [Input] Indicates the band-pass filter to apply on the input image |
| InOptDilateLabelMode | [Input Optional] Output mode of DilateLabel algorithms |
| InPropagationAxis | [Input] input axis propagation for the algorithm |
| InPropagationDirection | [Input] Direction propagation for the algorithm |
| InConvertImageBufferType | Input image buffer type parameter for image type convertion operation. |
| ▶Kernel | Modules containing kernel attributes used for image processing |
| InKnlXY | [Input] kernel xy for processing operation |
| InKnlXYZ | [Input] kernel xyz for processing operation |
| ▶Shape Measure Information Set | Modules containing shape measure information set attributes used for image processing |
| InMeasureInfoSet2d | [Input] shape analysis 2d measure information set |
| InMeasureInfoSet3d | [Input] shape analysis 3d measure information set |
| InOptMeasureInfoSet2d | [Input Optional] shape analysis 2d measure information set |
| InOptMeasureInfoSet3d | [Input Optional] shape analysis 3d measure information set |
| ▶Shape Measure Set | Modules containing shape measure set attributes used for image processing |
| InMeasureSet2d | [Input] shape analysis 2d measure set |
| InMeasureSet3d | [Input] shape analysis 3d measure set |
| InOutMeasureSet2d | [InOut] shape analysis 2d measure set |
| InOutMeasureSet3d | [InOut] shape analysis 3d measure set |
| InOutSubGenericMeasureSet2d | [Output] shape analysis measure set |
| InOutSubGeometry2dMeasureSet2d | [Output] shape analysis measure set |
| InOutSubGeometry3dMeasureSet3d | [Output] shape analysis measure set |
| InOutSubIndivisibleMeasureSet2d | [Output] shape analysis measure set |
| InOutSubIndivisibleMeasureSet3d | [Output] shape analysis measure set |
| InOutSubIntensityMeasureSet2d | [Output] shape analysis measure set |
| InOutSubIntensityMeasureSet3d | [Output] shape analysis measure set |
| OutMeasureSet | [Output] shape analysis measure set |
| OutPIMeasureSet | [Output] Plan indexed collection of shape analysis measure set |
| ▶Neighborhood | Modules containing neighborhood attributes used for image processing |
| InNeighborhood2d | [Input] neighborhood 2d type for operation |
| InNeighborhood3d | [Input] neighborhood 3d type for operation |
| InOptNeighborhood2d | [Input optional] neighborhood 2d type for operation |
| InOptNeighborhood3d | [Input optional] neighborhood 3d type for operation |
| ▶Strip | Modules containing strip attributes used for image processing |
| InBinXStrip2d | [Input] binary x strip 2d for operation |
| InOutDFTXStrip2d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| InOutDFTXStrip2d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| InOutDistXStrip2d | [InOut] distance map x strip 2d for operation |
| InOutRealXStrip2d1 | [InOut] x strip with real data for operation |
| InOutRealXStrip2d10 | [InOut] Tenth x strip with real data for operation |
| InOutRealXStrip2d2 | [InOut] x strip with real data for operation |
| InOutRealXStrip2d3 | [InOut] x strip with real data for operation |
| InOutRealXStrip2d4 | [InOut] Fourth x strip with real data for operation |
| InOutRealXStrip2d5 | [InOut] Fifth x strip with real data for operation |
| InOutRealXStrip2d6 | [InOut] Sixth x strip with real data for operation |
| InOutRealXStrip2d7 | [InOut] Seventh x strip with real data for operation |
| InOutRealXStrip2d8 | [InOut] Eighth x strip with real data for operation |
| InOutRealXStrip2d9 | [InOut] Ninth x strip with real data for operation |
| InOutXStrip2d | [InOut] x strip for operation |
| InRealXStrip2d1 | [Input] First x strip with real data for operation |
| InRealXStrip2d2 | [Input] Second x strip with real data for operation |
| InRealXStrip2d3 | [Input] Third x strip with real data for operation |
| InRealXStrip2d4 | [Input] Fourth x strip with real data for operation |
| InRealXStrip2d5 | [Input] Fifth x strip with real data for operation |
| InXStrip2d | [Input] x strip 2d for operation |
| OutDistXStrip2d | [Output] distance map x strip 2d for operation |
| OutXStrip2d | [Output] x strip for operation |
| InKnlXStrip2d | [Input] image y strip 2d attribute associated to a kernel |
| InBinLabYStrip2d1 | [Input] First input binary or label strip in 2d |
| InBinLabYStrip2d2 | [Input] Second input binary or label Y strip in 2d |
| InBinMarkYStrip2d | [Input] binary marker y strip 2d for operation |
| InBinSeedYStrip2d | [Input] y strip 2d of binary seed images |
| InBinYStrip2d | [Input] binary y strip 2d for operation |
| InClassYStrip2d | [Input] class y strip 2d |
| InGxYStrip2d | [Input] image y strip 2d attribute containing gradient computed along x-axis |
| InGyYStrip2d | [Input] image y strip 2d attribute containing gradient computed alongy-axis |
| InIntYStrip2d | [Input] integer y strip 2d for operation |
| InIntYStrip2d1 | [Input] First integer y strip 2d for operation |
| InIntYStrip2d2 | [Input] Second integer y strip 2d for operation |
| InLabelYStrip2d | [Input] label y strip 2d for processing operation |
| InLabelYStrip2d1 | [Input] first label y strip 2d for processing operation |
| InLabelYStrip2d2 | [Input] second label y strip 2d for processing operation |
| InMaskYStrip2d | [Input] binary y strip 2d for masking operation |
| InNormProjYStrip2d | [Input] norm component of image 2d matrix projection |
| InOptBlackYStrip2d | [Input Optional] Y strip 2d associated to black image. Used for instance by shading correction algorithm |
| InOptMaskSeqYStrip2d | [Input Optional] Mask sequence y strip 2d for processing operation |
| InOptMaskYStrip2d | [Input Optional] binary y strip 2d for masking operation |
| InOptPreviousBinYStrip2d | [Input Optional] binary y strips 2d just before first currently processed element |
| InOptPreviousYStrip2d | [Input Optional] y strips 2d just before first currently processed element |
| InOptSingleGreyMaskYStrip2d | [Input Optional] Mask y strip 2d for processing operation |
| InOutBinYStrip2d | [InOut] binary y strip 2d for operation |
| InOutDFTYStrip2d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| InOutDFTYStrip2d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| InOutDistYStrip2d | [InOut] distance map y strip 2d for operation |
| InOutIntYStrip2d | [InOut] integer y strip 2d for operation |
| InOutOptClassYStrip2d | [InOut Optional] class y strip 2d |
| InOutRealYStrip2d | [InOut] real y strip 2d for operation |
| InOutRealYStrip2d1 | [InOut] First real y strip 2d |
| InOutRealYStrip2d2 | [InOut] Second real y strip 2d |
| InOutRealYStrip2d3 | [InOut] Third real y strip 2d |
| InOutRealYStrip2d4 | [InOut] Fourth real y strip 2d |
| InOutRealYStrip2d5 | [InOut] Fifth real y strip 2d |
| InOutRealYStrip2d6 | [InOut] Sixth real y strip 2d |
| InOutRealYStrip2d7 | [InOut] Seventh real y strip 2d |
| InOutRealYStrip2d8 | [InOut] Eightht real y strip 2d |
| InOutRealYStripSeq2d | [InOut] Real sequence image |
| InOutYStrip2d | [InOut] y strip 2d for operation |
| InRealYStrip2d | [Input] real y strip 2d for operation |
| InRealYStrip2d1 | [Input] real y strip 2d for operation |
| InRealYStrip2d2 | [Input] real y strip 2d for operation |
| InRealYStrip2d3 | [Input] real y strip 2d for operation |
| InRealYStrip2d4 | [Input] real y strip 2d for operation |
| InRealYStrip2d5 | [Input] real y strip 2d for operation |
| InRealYStrip2d6 | [Input] real y strip 2d for operation |
| InRealYStrip2d7 | [Input] real y strip 2d for operation |
| InRealYStrip2d8 | [Input] real y strip 2d for operation |
| InRealYStrip2d9 | [Input] real y strip 2d for operation |
| InRhoYStrip2d | [Input] rho component of polar coordinates |
| InSeqYStrip2d | [Input] Sequence y strip 2d for processing operation |
| InSeqYStrip2d1 | [Input] First sequence y strip 2d for processing operation |
| InSeqYStrip2d2 | [Input] Second sequence y strip 2d for processing operation |
| InThetaYStrip2d | [Input] theta component of polar coordinates |
| InWhiteYStrip2d | [Input] Strip associated to white image. Used for instance by shading correction algorithm |
| InXXYStrip2d | [Input] XX y strip 2d matrix component for processing operation |
| InXYStrip2d | [Input] x component of cartesian coordinates |
| InXYYStrip2d | [Input] XY y strip 2d matrix component for processing operation |
| InYStrip2d | [Input] y strip 2d for operation |
| InYStrip2d1 | [Input] First y strip 2d for operation |
| InYStrip2d2 | [Input] Second y strip 2d for operation |
| InYStrip2d3 | [Input] Third y strip 2d for operation |
| InYStrip2d4 | [Input] Fourth y strip 2d for operation |
| InYYStrip2d | [Input] y component of cartesian coordinates |
| InYYYStrip2d | [Input] YY y strip 2d matrix component for processing operation |
| OutBinLabYStrip2d | [Output] binary or label y strip 2d for operation |
| OutBinYStrip2d | [Output] binary y strip 2d for operation |
| OutClassYStrip2d | [Output] class y strip 2d |
| OutComplexImYStrip2d | [Output] imaginary part of complex y strip 2d |
| OutComplexRealYStrip2d | [Output] real part of complex y strip 2d |
| OutDistYStrip2d | [Output] distance map y strip 2d for operation |
| OutIntYStrip2d | [Output] integer y strip 2d for operation |
| OutLabelYStrip2d | [Output] label y strip 2d for processing operation |
| OutLightYStrip2d | [Output] lightness image y strip 2d |
| OutOptRealYStrip2d | [Output Optional] real y strip 2d for operation |
| OutPosterizedYStrip2d | [Output] Posterized y strip 2d |
| OutRealYStrip2d | [Output] real y strip 2d for operation |
| OutRealYStrip2d1 | [Output] real y strip 2d for operation |
| OutRealYStrip2d2 | [Output] real y strip 2d for operation |
| OutRealYStrip2d3 | [Output] real y strip 2d for operation |
| OutRealYStrip2d4 | [Output] real y strip 2d for operation |
| OutRealYStrip2d5 | [Output] real y strip 2d for operation |
| OutRealYStrip2d6 | [Output] real y strip 2d for operation |
| OutRealYStripSeq2d | [Output] Real sequence image |
| OutRealYStripSeq2d1 | [Output] First real sequence image |
| OutRealYStripSeq2d2 | [Output] Second real sequence image |
| OutRhoYStrip2d | [Output] rho component of polar coordinates |
| OutSeqYStrip2d | [Output] Sequence y strip 2d for processing operation |
| OutSingleYStrip2d | [Output] single image y strip 2d |
| OutThetaYStrip2d | [Output] theta component of polar coordinates |
| OutXYStrip2d | [Output] x component of cartesian coordinates |
| OutYStrip2d | [Output] y strip 2d for operation |
| OutYStrip2d1 | [Output] First Y strip 2d |
| OutYStrip2d2 | [Output] Second Y strip 2d |
| OutYYStrip2d | [Output] y component of cartesian coordinates |
| InBinKnlYStrip2d | [Input] binary image y strip 2d for operation associated to a kernel |
| InComplexImKnlYStrip2d | [Input] complex image y strip 2d attribute (imaginary part) |
| InComplexRealKnlYStrip2d | [Input] real part of a complex image y strip 2d attribute |
| InGxKnlYStrip2d | [Input] image y strip 2d attribute containing gradient computed along x-axis |
| InGyKnlYStrip2d | [Input] image y strip 2d attribute containing gradient computed along y-axis |
| InKnlDistYStrip2d | [Input] distance image y strip 2d for operation associated to a kernel |
| InKnlLabelYStrip2d | [Input] label y strip 2d with kernel for processing operation |
| InKnlRealYStrip2d1 | [Input] First real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d2 | [Input] Second real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d3 | [Input] Third real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d4 | [Input] Fourth real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d5 | [Input] Fifth real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d6 | [Input] Sixth real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d7 | [Input] Seventh real image y strip 2d for operation associated to a kernel |
| InKnlRealYStrip2d8 | [Input] Eighth real image y strip 2d for operation associated to a kernel |
| InKnlXXYStrip2d | [Input] XX y strip 2d matrix component for processing operation |
| InKnlXYYStrip2d | [Input] XY y strip 2d matrix component for processing operation |
| InKnlYStrip2d | [Input] image y strip 2d attribute associated to a kernel |
| InKnlYYYStrip2d | [Input] YY y strip 2d matrix component for processing operation |
| InOptKnlBinYStrip2d1 | [Input Optional] first input binary y strip 2d for operation |
| InOptKnlBinYStrip2d2 | [Input Optional] second input binary y strip 2d for operation |
| InOptKnlBinYStrip2d3 | [Input Optional] third input binary y strip 2d for operation |
| InOptKnlLabYStrip2d1 | [Input Optional] first input label y strip 2d for operation |
| InOptKnlLabYStrip2d2 | [Input Optional] second input label y strip 2d for operation |
| InOptKnlLabYStrip2d3 | [Input Optional] third input label y strip 2d for operation |
| InOptKnlMaskYStrip2d | [Input Optional] Binary Mask with kernel for 2d Y strip |
| InOptKnlYStrip2d1 | [Input Optional] first input y strip 2d for operation |
| InOptKnlYStrip2d2 | [Input Optional] second input y strip 2d for operation |
| InOptKnlYStrip2d3 | [Input Optional] third input y strip 2d for operation |
| InOutDFTYStrip3d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| InOutDFTYStrip3d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| InOutDistYStrip3d | [InOut] distance map y strip 3d for operation |
| InOutYStrip3d | [InOut] y strip 3d for operation |
| InYStrip3d | [Input] y strip 3d for operation |
| OutYStrip3d | [Output] y strip 3d for operation |
| InColorOrGreyYStrip2d | [Input] Color or grey y strip 2d for processing operation |
| InColorYStrip2 | [Input] second color Y strip |
| InColorYStrip2d | [Input] color y strip 2d for processing operation |
| InColorYStrip2d1 | [Input] first color YStrip |
| InRgbYStrip2d | [Input] Rgb color y strip 2d for processing operation |
| OutColorYStrip2d | [Output] color y strip 2d for processing operation |
| OutRgbYStrip2d | [Output] Rgb color y strip 2d for processing operation |
| InBinLabZStrip3d | [Input] Input binary or label Z strip in 3d |
| InBinSeedZStrip3d | [Input] seeded binary z strip 3d for operation |
| InBinZStrip3d | [Input] binary z strip 3d for operation |
| InIntZStrip3d | [Input] integer z strip 3d for operation |
| InLabelZStrip3d | [Input] label z strip 3d for processing operation |
| InLabelZStrip3d1 | [Input] first label z strip 3d for processing operation |
| InLabelZStrip3d2 | [Input] second label z strip 3d for processing operation |
| InMaskZStrip3d | [Input] binary y strip 3d for masking operation |
| InOptMaskZStrip3d | [Input Optional] binary z strip 3d for masking operation |
| InOptPreviousBinZStrip3d | [Input Optional] binary z strips 3d just before first currently processed element |
| InOptPreviousZStrip3d | [Input Optional] z strips 3d just before first currently processed element |
| InOutBinZStrip3d | [InOut] binary z strip 3d for operation |
| InOutDFTZStrip3d1 | [InOut] first element for Discrete Fourier Transform (can be real cartesian part or rho polar part [default] of signal depending on algorithm configuration) |
| InOutDFTZStrip3d2 | [InOut] second element for Discrete Fourier Transform (can be imaginary cartesian part or theta polar part [default] of signal depending on algorithm configuration) |
| InOutDistZStrip3d | [InOut] distance map z strip 3d for operation |
| InOutIntZStrip3d | [InOut] integer z strip 3d for operation |
| InOutOptClassZStrip3d | [InOut Optional] class z strip 3d |
| InOutRealZStrip3d | [InOut] real z strip 3d for operation |
| InOutZStrip3d | [InOut] z strip 3d for operation |
| InXXZStrip3d | [Input] XX z strip 3d matrix component for processing operation |
| InXYZStrip3d | [Input] XY z strip 3d matrix component for processing operation |
| InXZZStrip3d | [Input] XZ z strip 3d matrix component for processing operation |
| InYYZStrip3d | [Input] YY z strip 3d matrix component for processing operation |
| InYZZStrip3d | [Input] YZ z strip 3d matrix component for processing operation |
| InZStrip3d | [Input] z strip 3d for operation |
| InZStrip3d1 | [Input] First z strip 3d for operation |
| InZStrip3d2 | [Input] Second z strip 3d for operation |
| InZZZStrip3d | [Input] ZZ z strip 3d matrix component for processing operation |
| OutBinLabZStrip3d | [Output] binary or label z strip 3d for operation |
| OutBinZStrip3d | [Output] binary z strip 3d for processing operation |
| OutDistZStrip3d | [Output] distance map z strip 3d for operation |
| OutLabelZStrip3d | [Output] label z strip 3d for processing operation |
| OutRealZStrip3d | [Output] real z strip 3d for processing operation |
| OutZStrip3d | [Output] z strip 3d for operation |
| OutZStrip3d1 | [Output] First z strip 3d for operation |
| OutZStrip3d2 | [Output] First z strip 3d for operation |
| InBinKnlZStrip3d | [Input] binary image z strip 3d for operation associated to a kernel |
| InBinLabKnlZStrip3d | [Input] Input binary or label Z strip 3d with kernel |
| InGxKnlZStrip3d | [Input]image z strip 3d containing gradient computed along x-axis |
| InGyKnlZStrip3d | [Input]image z strip 3d containing gradient computed along y-axis |
| InGzKnlZStrip3d | [Input]image z strip 3d containing gradient computed along z-axis |
| InKnlDistZStrip3d | [Input] distance image z strip 3d for operation associated to a kernel |
| InKnlLabelZStrip3d | [Input] label z strip 3d with kernel for processing operation |
| InKnlXXZStrip3d | [Input] XX z strip 3d matrix component for processing operation |
| InKnlXYZStrip3d | [Input] XY z strip 3d matrix component for processing operation |
| InKnlXZZStrip3d | [Input] XZ z strip 3d matrix component for processing operation |
| InKnlYYZStrip3d | [Input] YY z strip 3d matrix component for processing operation |
| InKnlYZZStrip3d | [Input] YZ z strip 3d matrix component for processing operation |
| InKnlZStrip3d | [Input] image z strip 3d attribute associated to a kernel |
| InKnlZZZStrip3d | [Input] ZZ z strip 3d matrix component for processing operation |
| InLabelKnlZStrip3d | [Input] label z strip 3d for processing operation associated to a kernel |
| InOptKnlBinZStrip3d1 | [Input Optional] first input binary z strip 3d for operation |
| InOptKnlBinZStrip3d2 | [Input Optional] second input binary z strip 3d for operation |
| InOptKnlBinZStrip3d3 | [Input Optional] third input binary z strip 3d for operation |
| InOptKnlLabZStrip3d1 | [Input Optional] first input label z strip 3d for operation |
| InOptKnlLabZStrip3d2 | [Input Optional] second input label z strip 3d for operation |
| InOptKnlLabZStrip3d3 | [Input Optional] third input label z strip 3d for operation |
| InOptKnlMaskZStrip3d | [Input Optional] Binary Mask with kernel for 3d Z strip |
| InOptKnlZStrip3d1 | [Input Optional] first input z strip 3d for operation |
| InOptKnlZStrip3d2 | [Input Optional] second input z strip 3d for operation |
| InOptKnlZStrip3d3 | [Input Optional] third input z strip 3d for operation |
| InColorOrGreyZStrip3d | [Input] Color or grey z strip 3d for processing operation |
| InColorZStrip3d | [Input] color z strip 3d for processing operation |
| InRgbZStrip3d | [Input] Rgb color z strip 3d for processing operation |
| OutRgbZStrip3d | [Output] Rgb color z strip 3d for processing operation |
| ▶Structuring element | Modules containing structuring element attributes used for image processing |
| InSEXY | [Input] structuring element xy for processing operation |
| InSEXY1 | [Input] first structuring element xy for processing operation |
| InSEXY2 | [Input] second structuring element xy for processing operation |
| InSEXYZ | [Input] structuring element xyz for processing operation |
| InSEXYZ1 | [Input] first structuring element xyz for processing operation |
| InSEXYZ2 | [Input] second structuring element xyz for processing operation |
| ▶Image | Modules containing sub image attributes used for image processing |
| InOutSubBinImg2d | [InOut] [InOut] binary 2d sub image for operation |
| InOutSubDFTImg2d1 | [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) |
| InOutSubDFTImg2d2 | [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) |
| InOutSubImg2d | [InOut] grey level 2d sub image for operation |
| InOutSubRealImg2d | [InOut] grey level 2d single sub image for operation containing real values (used for instance in the KMeansPPClusterInit algorithm) |
| InOutSubRealImg2d1 | [InOut] grey level 2d single sub image for operation containing real values |
| InOutSubRealImg2d2 | [InOut] grey level 2d single sub image for operation containing real values |
| InOutSubRealImg2d3 | [InOut] grey level 2d single sub image for operation containing real values |
| InOutSubRealImg2d4 | [InOut] grey level 2d single sub image for operation containing real values |
| InOutSubSeqImg2d1 | [InOut] first sequence image 2d for processing operation |
| InOutSubSeqImg2d2 | [InOut] second sequence image 2d for processing operation |
| InOutSubSeqImg2d3 | [InOut] third sequence image 2d for processing operation |
| InOutSubBinImg3d | [InOut] binary 3d sub image for operation |
| InOutSubDFTImg3d1 | [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) |
| InOutSubDFTImg3d2 | [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) |
| InOutSubDistImg3d | [InOut] distance map sub image 3d |
| InOutSubImg3d | [InOut] grey level 3d sub image for operation |
| InOutSubGpuImg | [InOut] Input and output sub image stored on GPU |
| InOutOptSubGpuImg | [InOut Optional] Input and output optional sub image stored on GPU |
| InSubBinImg2d | [Input] binary 2d single sub image for processing operation |
| InSubBinLabImg2d | [Input] binary 2d single sub binary or label image for processing operation |
| InSubBinMarkImg2d | [Input] binary 2d single sub marker image for processing operation |
| InSubBinSeedImg2d | [Input] Seeded binary sub image |
| InSubClassImg2d | [Input] 2d image of classes |
| InSubColorImg2d | [Input] color sub image 2d for processing operation |
| InSubColorImg2d1 | [Input] first color sub image 2d for processing operation |
| InSubColorImg2d2 | [Input] second color sub image 2d for processing operation |
| InSubColorOrGreyImg2d | [Input] Color or grey image 2d for processing operation |
| InSubDxImg | [Input] Displacement map along the x-axis |
| InSubDyImg | [Input] Displacement map along the y-axis |
| InSubGxImg2d | [Input] grey level 2d sub image of gradient computed along x-axis |
| InSubGyImg2d | [Input] grey level 2d sub image of gradient computed along y-axis |
| InSubImg2d | [Input] grey level 2d sub image for operation |
| InSubImg2d1 | [Input] First grey level 2d sub image for operation |
| InSubImg2d2 | [Input] Second grey level 2d image for operation |
| InSubImg2d3 | [Input] Third grey level 2d sub image for operation |
| InSubImg2d4 | [Input] Fourth grey level 2d sub image for operation |
| InSubIntImg2d | [Input] grey level 2d single sub image for operation (data contained in image buffer are integers) |
| InSubIntImg2d1 | [Input] First grey level 2d single sub image for operation (data contained in image buffer are integers) |
| InSubIntImg2d2 | [Input] Second grey level 2d single sub image for operation (data contained in image buffer are integers) |
| InSubLabClassImg2d | [Input] 2d image containing labels or class indices |
| InSubLabelImg2d | [Input] Label 2d single sub image for processing operation |
| InSubLabMarkImg2d | [Input] 2d single sub label marker image for processing operation |
| InSubMaskImg2d | [Input] Binary 2d single sub image for masking operation |
| InSubRealImg2d1 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d2 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d3 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d4 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d5 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d6 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d7 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRealImg2d8 | [Input] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| InSubRgbImg2d | [Input] RGB color image 2d for processing operation |
| InSubRhoImg2d | [Input] grey level 2d sub image for rho component of polar coordinates |
| InSubROIImg2d | [Input] ROI grey level 2d sub image for operation |
| InSubSeqImg2d | [Input] sequence image 2d for processing operation |
| InSubSeqImg2d1 | [Input] first sequence image 2d for processing operation |
| InSubSeqImg2d2 | [Input] second sequence image 2d for processing operation |
| InSubThetaImg2d | [Input] grey level 2d sub image for theta component of polar coordinates |
| InSubUIntImg2d | [Input] grey level 2d sub image for operation (data contained in image buffer are unsigned integers) |
| InSubXImg2d | [Input] grey level 2d sub image for x component of cartesian coordinates |
| InSubYImg2d | [Input] grey level 2d sub image for y component of cartesian coordinates |
| InOptMaskSubImg2d | [Input Optional] binary 2d single sub image for mask operation |
| InOptSingleGreyMaskSubImg2d | [Input Optional] binary 2d single sub image for mask operation for each (x, y, z) coordinate regardless to (c, t) coordinates |
| InOptSubBinImg2d1 | [Input Optional] first binary level 2d sub image for operation |
| InOptSubBinImg2d2 | [Input Optional] second binary level 2d sub image for operation |
| InOptSubBinImg2d3 | [Input Optional] third binary level 2d sub image for operation |
| InOptSubImg2d1 | [Input Optional] first grey level 2d sub image for operation |
| InOptSubImg2d2 | [Input Optional] second grey level 2d sub image for operation |
| InOptSubImg2d3 | [Input Optional] third grey level 2d sub image for operation |
| InOptSubLabImg2d1 | [Input Optional] first label level 2d sub image for operation |
| InOptSubLabImg2d2 | [Input Optional] second label level 2d sub image for operation |
| InOptSubLabImg2d3 | [Input Optional] third label level 2d sub image for operation |
| InSubBinImg3d | [Input] binary 3d single sub image for processing operation |
| InSubBinLabImg3d | [Input] binary 3d single sub binary or label image for processing operation |
| InSubBinSeedImg3d | [Input] 3d seeded binary sub image |
| InSubColorImg3d1 | [Input] first color image 3d for processing operation |
| InSubColorImg3d2 | [Input] second color image 3d for processing operation |
| InSubColorOrGreyImg3d | [Input] Color or grey image 3d for processing operation |
| InSubGxImg3d | [Input] grey level 3d sub image of gradient computed along x axis |
| InSubGyImg3d | [Input] grey level 3d sub image of gradient computed along y axis |
| InSubGzImg3d | [Input] grey level 3d sub image of gradient computed along z axis |
| InSubImg3d | [Input] grey level 3d single sub image for operation |
| InSubImg3d1 | [Input] First grey level 3d single sub image for operation |
| InSubImg3d2 | [Input] Second grey level 3d single sub image for operation |
| InSubImg3d3 | [Input] Third grey level 3d single sub image for operation |
| InSubIntImg3d | [Input] grey level 3d single sub image for operation (data contained in image buffer are integers) |
| InSubLabClassImg3d | [Input] 3d image containing labels or class indices |
| InSubLabelImg3d | [Input] Label 3d single sub image for processing operation |
| InSubLabMarkImg3d | [Input] 3d single sub label marker image for processing operation |
| InSubMaskImg3d | [Input] Binary 3d single sub image for masking operation |
| InSubUIntImg3d | [Input] grey level 3d single sub image for operation (data contained in image buffer are unsigned integers) |
| InOptMaskSubImg3d | [Input Optional] binary 3d single sub image for mask operation |
| InOptSubBinImg3d1 | [Input Optional] first binary level 3d sub image for operation |
| InOptSubBinImg3d2 | [Input Optional] second binary level 3d sub image for operation |
| InOptSubBinImg3d3 | [Input Optional] third binary level 3d sub image for operation |
| InOptSubImg3d1 | [Input Optional] first grey level 3d sub image for operation |
| InOptSubImg3d2 | [Input Optional] second grey level 3d sub image for operation |
| InOptSubImg3d3 | [Input Optional] third grey level 3d sub image for operation |
| InOptSubLabImg3d1 | [Input Optional] first label level 3d sub image for operation |
| InOptSubLabImg3d2 | [Input Optional] second label level 3d sub image for operation |
| InOptSubLabImg3d3 | [Input Optional] third label level 3d sub image for operation |
| InSubGpuImg | [Input] Sub-image stored on GPU |
| InSubGpuImg1 | [Input] First input sub image stored on GPU |
| InSubGpuImg2 | [Input] Second input sub image stored on GPU |
| InSubGpuImg3 | [Input] Third input sub image stored on GPU |
| InSubGpuImg4 | [Input] Fourth input sub image stored on GPU |
| InSubGpuMaskImg | [Input] Binary image stored on GPU for masking operation |
| OutSubColorImg2d | [Output] color sub image 2d for processing operation |
| OutSubLabelImg2d | [Output] label 2d sub image for processing operation |
| OutSubRealImg2d | [Output] grey level 2d single sub image for operation (data contained in image buffer are reals) |
| OutSubRealSeqImg2d | [Output] Real sequence sub image |
| OutSubRealSeqImg2d1 | [Output] First real sequence sub image |
| OutSubRealSeqImg2d2 | [Output] Second real sequence sub image |
| OutSubBinImg3d | [Output] binary 3d sub image for processing operation |
| OutSubLabelImg3d | [Output] label 3d sub image for processing operation |
| OutSubRealImg3d | [Output] grey level 3d single sub image for operation (data contained in image buffer are reals) |
| OutOptSubGpuImg | [Output Optional] Output optional sub image stored on GPU |
| OutSubGpuImg | [Output] Output sub image stored on GPU |
| OutSubGpuImg1 | [Output] First sub image stored on GPU |
| OutSubGpuImg2 | [Output] Second image stored on GPU |
| ▶Tile | Modules containing tile attributes used for image processing |
| InTile2d | [Input] tile 2d for operation |
| InTile3d | [Input] tile 3d for operation |
| InXXTile2dColl | [Input] tile 2d collection associated to xx matrix component |
| InXYTile2dColl | [Input] tile 2d collection associated to xy matrix component |
| InYYTile2dColl | [Input] tile 2d collection associated to yy matrix component |
| InXXTile3dColl | [Input] tile 3d collection associated to xx matrix component |
| InXYTile3dColl | [Input] tile 3d collection associated to xy matrix component |
| InXZTile3dColl | [Input] tile 3d collection associated to xz matrix component |
| InYYTile3dColl | [Input] tile 3d collection associated to yy matrix component |
| InYZTile3dColl | [Input] tile 3d collection associated to yz matrix component |
| InZZTile3dColl | [Input] tile 3d collection associated to zz matrix component |
| ▶Tile collection | Modules containing tile collection attributes used for image processing |
| InGxTile2dColl | [Input] tile 2d collection associated to x gradient coordinate |
| InGyTile2dColl | [Input] tile 2d collection associated to y gradient coordinate |
| InOutTile2dColl | [InOut] tile 2d collection for operation |
| InTile2dColl | [Input] tile 2d collection for operation |
| OutTile2dColl | [Output] tile 2d collection for operation |
| InGxTile3dColl | [Input] tile 3d collection associated to x gradient coordinate |
| InGyTile3dColl | [Input] tile 3d collection associated to y gradient coordinate |
| InGzTile3dColl | [Input] tile 3d collection associated to z gradient coordinate |
| InOutTile3dColl | [InOut] tile 3d collection for operation |
| InTile3dColl | [Input] tile 3d collection for operation |
| OutTile3dColl | [Output] tile 3d collection for operation |
| ▶Value | Modules containing value attributes used for image processing |
| 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 |
| ▶Data item elements | Modules containing data item elements used for image processing |
| AbscissRgb | Absciss and RGB triplet. |
| AccumIntensityThreshold | threshold on accumulation intensities for local maxima extraction |
| CannyThresholds | low and high thresholds used for the Canny edges detection during the hysteresis phasis |
| ClusterCenter | Center of a cluster (used for k-means algorithm, for instance) |
| ClusterEltInfo | information associated to a cluster element |
| ClusterPpties | Properties of the cluster. |
| ClustersCenters | Centers of clusters (used by k-means algorithm, for instance) |
| ClustersPptiesColl | Collection of clusters properties. |
| ColorConversionTransform | structure agregating information allowing to convert from a color space to another linked by a linear transform |
| CompareResult | Result for images comparison operation. |
| ContourExtractionSettings | Settings used for contours extraction. |
| Coords2d | Cartesian coordinates 2d. |
| Coords2dColl | Collection of cartesian coordinates 2d. |
| Coords3d | Cartesian coordinates 3d. |
| Coords3dColl | Collection of cartesian coordinates 3d. |
| CornerDetectionParams | parameters used during corner detection process |
| CumulativeHistogramData | data item containing cumulative histogram information |
| CyclicRgbColorMap | Cyclic RGB color map. |
| CylinderUnrollingIntegrationParams | Integration parameters for cylinder unrolling algorithm. |
| DeepFlowParams | Parameters to set up the deep flow algorithm. |
| DFTConfig | configuration structure for Discrete Fourier Transform algorithm |
| DistWeight2d | Weighting coefficients used for 2d distance calculation. |
| DistWeight3d | Weighting coefficients used for 2d distance calculation. |
| Doubles | Collection of doubles. |
| Eigen2dData | Eigen decomposition 2d data. |
| Eigen2dDataColl | Collection of eigen decomposition 2d data. |
| Eigen3dData | Eigen decomposition 3d data. |
| Eigen3dDataColl | Collection of eigen decomposition 3d data. |
| EvenlySpacedRange | Evenly spaced range, made of a minimum, a maximum, and a number of bins. |
| Feature2dGreySignature | Feature 2d signature objects based on local grey level analysis. |
| Feature3dGreySignature | Feature 3d signature objects based on local grey level analysis. |
| FeatureAssignmentInfo | structure allowing to agregate feature assignment informations |
| Features2dGreySignature | Collection of feature 2d signature objects based on local grey level analysis. |
| Features2dRegistrationResult | result of features 2d registration algorithm |
| Features2dRegistrationResults | Collection of results for features 2d registration algorithm. |
| Features3dGreySignature | Collection of feature 3d signature objects based on local grey level analysis. |
| Features3dRegistrationResult | result of features 3d registration algorithm |
| Features3dRegistrationResults | Collection of results for features 3d registration algorithm. |
| FeaturesRegistrationIndicators | Features registration quality result indicators. |
| Floats | Collection of floats. |
| GaborParams | Parameters to define a Gabor signal. |
| GaussianCoverage | Parameter allowing to specify a gaussian distribution coverage for processing. |
| GaussianNoiseStats | Gaussian noise measures in an image. |
| GaussianParameter | Parameters describing a Gaussian. |
| GlobalEntropyResult | Image global entropy. |
| HistogramData | results computed from a histogram measure |
| HistoMsrParams | input parameters of the HistogramMsr algorithm |
| HoughCircle2dPpties | Properties of 2d circles detected by 2d Hough algorithm. |
| HoughCircles2dPpties | Collection of 2d circles detected by 2d Hough algorithm. |
| HoughCirclesKernelXY | Kernel information associated to Hough circles detector (phase-coded implementation) |
| HoughCirclesKernelXYElt | Element of kernel for 2D Hough circles detector. |
| HoughCirclesPhaseCodedKernelXY | Kernel information associated to Hough circles detector (phase-coded implementation) |
| HoughCirclesPhaseCodedKernelXYElt | Element of kernel for 2D Hough circles detector (phase-coded implementation) |
| HoughCirclesRadiusRange | range of radius of circles to detect |
| HoughLine2dPpties | Properties of a 2d line detected by 2d Hough algorithm. |
| HoughLines2dPpties | Collection of 2d lines detected by 2d Hough algorithm. |
| HoughLinesExtractionParams | Parameters used for step of extraction of lines in Hough lines algorithm. |
| HoughLinesGradientImgParams | Parameters for Hough lines image generation algorithm. |
| HoughLinesImgParams | Parameters for Hough lines image generation algorithm. |
| HoughSphere3dPpties | Properties of 2d circles detected by 2d Hough algorithm. |
| HoughSpheres3dPpties | Collection of 3d spheres detected by 3d Hough algorithm. |
| HoughSpheresKernelXYZ | Kernel information associated to Hough sphere detector. |
| HoughSpheresKernelXYZElt | Element of kernel for 3D Hough spheres detector. |
| HuMoments | Hu moments of a shape. |
| HysteresisParams | Thresholding parameter for hysteresis filtering. |
| ImageValueExtractionMethod | object allowing to define used image values extraction method |
| Img2dOffset | Image 2d offset used as input parameter by image processing algorithms, such as ROI extraction. |
| Img2dSize | Image 2d size used as input parameter by image processing algorithms, such as ROI extraction. |
| Img3dOffset | Image 3d offset used as input parameter by image processing algorithms, such as ROI extraction. |
| Img3dSize | Image 3d size used as input parameter by image processing algorithms, such as ROI extraction. |
| ImgComparisonTolerance | Tolerance for image comparison tolerance algorithm. |
| IndexableUInt64 | container allowing to create a plan index of a single UInt64 |
| Integers64 | Collection of 64-bits integers. |
| IntensityLUT | image intensities look-up table |
| InterStripLabelConnections | Inter strip labels connections informations. |
| KDEBandwidthPolicy | policy used to compute smoothing bandwidth parameter during a kernel density estimation |
| KDEDataSet | data set associated to a kernel density estimator |
| KernelKMeansParams | structure allowing to encapsulate parameters for kernel kmeans clustering algorithm |
| KKMeansCentroid | Kernel cluster centroid representation. |
| KKMeansCentroids | Collection of kernel cluster centroid representation. |
| KMeansAssignmentInfo | information resulting from assignment step in k-means algorithm |
| KMeansCompactnessInfo | Data item storing information necessary to compute compactness in k-means algorithm. |
| KMeansPPClusterInitInfo | Information used by the K-Means cluster initialization algorithm. |
| LabelActivationTable | Label activation table allowing to active labels for drawing. |
| LabelConnection | Connection indexes between two labels. |
| LabelConnectionTable | Label connections (equivalences) table. |
| LabelInfo | Image label informations. |
| LawTexPostProcParams | Parameters for Law texture filter post-processing phasis. |
| LawTexPreProcParams | Parameters for Law texture filter pre-processing phasis. |
| LawTextureKernel2dTypes | Types of 2d kernels used for Law's texture computation. |
| LawTextureKernel3dTypes | Types of 3d kernels used for Law's texture computation. |
| LocalExtremaConfig | Configuration for local extrema calculation. |
| MaxValIdx | Contains the maximum value and its index. |
| MVEParams | Input parameters for multiscale vessel enhancement. |
| NbModifiedPixels | number of pixels modified by the algorithm |
| NCCResult | Result of the global normalized-cross correlation between two images. |
| ParaboloidParams3d | Parameters describing a 3d paraboloid. |
| PatchBasedBilateralParams | Parameters of patch-based bilateral filters. |
| PCAReductionParams | Parameters for sequence image dimensionality reduction using a PCA. |
| PearsonCCResult | Pearson correlation coefficient data item used to split the global Pearson measure. |
| Pixel2d | position and intensity of a 2d pixel |
| PixelColor | Pixel with the intensity values for the different channels. |
| PixelPosition | |
| Pixels2d | collection of 2d pixels |
| PixelsColor | List of color pixels. |
| PlanIndexedCompareResult | Plan indexed collection of results for image comparison operation. |
| PlanIndexedCoords2dColl | Plan indexed collection of 2d pixels. |
| PlanIndexedCoords3dColl | Plan indexed collection of 3d pixels. |
| PlanIndexedCyclicRgbColorMap | Plan indexed collection of cyclic RGB color maps. |
| PlanIndexedDoubles | Plan indexed collection of doubles. |
| PlanIndexedFeatures2dGreySignature | Plan indexed collection of 2d features signature. |
| PlanIndexedFeatures2dRegistrationResult | Plan indexed collection of 2d features result. |
| PlanIndexedFeatures3dGreySignature | Plan indexed collection of 3d features signature. |
| PlanIndexedGlobalEntropyResult | Plan indexed collection of results for global entropy measure. |
| PlanIndexedHistogramData | Plan indexed collection of histogram properties. |
| PlanIndexedHistoMsrParams | Plan indexed collection of histogram measure parameters. |
| PlanIndexedHoughCircles2dPpties | Plan indexed collection of 2d circles detected by 2d Hough algorithm. |
| PlanIndexedHoughLines2dPpties | Plan indexed collection of 2d lines detected by 2d Hough algorithm. |
| PlanIndexedHoughSpheres3dPpties | Plan indexed collection of 2d circles detected by 2d Hough algorithm. |
| PlanIndexedIndexableUInt64 | Plan indexed collection of results for image statistics measure operation. |
| PlanIndexedIntensityLUT | Plan indexed collection of intensities look-up tables. |
| PlanIndexedKDEDataSet | Plan indexed collection of kernel density estimator result data set. |
| PlanIndexedNCCResult | Plan indexed collection of doubles. |
| PlanIndexedParaboloidParams3d | Plan indexed collection of 3d parameters of paraboloids. |
| PlanIndexedPatchBasedBilateralParams | Plan indexed collection of parameters for patch-based bilateral filter. |
| PlanIndexedPearsonCCResult | Plan indexed collection of results for Pearson correlation coefficient. |
| PlanIndexedPixels2d | Plan indexed collection of 2d pixels. |
| PlanIndexedRange | Plan indexed collection of ranges. |
| PlanIndexedRegistrationMotionTransform2d | Plan indexed collection of 2d motion transforms. |
| PlanIndexedSmoothRgbColorMap | Plan indexed collection of smooth RGB color maps. |
| PlanIndexedStatsResult | Plan indexed collection of results for image statistics measure operation. |
| PlanIndexedVoxels3d | Plan indexed collection of 3d voxels. |
| PlanIndexedWarpMotionTransform2dColl | Plan indexed collection of collection of geometric transform. |
| RandomForest | Random forest. |
| RandomForestFeature | Describes random forest feature. |
| RandomForestFeatureList | List of features used for random forest pixel classification. |
| RandomForestModel | Complete model of the random forest. |
| RandomForestTree | Random forest tree. |
| RandomForestTreeNode | Describes a node parameters in a random forest tree. |
| Range | Range (min and max) used as input parameter by image processing algorithms, such as normalization. |
| RegistrationMotionTransform2d | Transformation associated to a 2d motion. |
| RegistrationMotionTransform3d | Transformation associated to a 3d motion. |
| RegistrationTracking2dData | data used during registration 2d tracking |
| RegistrationTracking2dGrid | tracking grid used during 2d tracking process |
| RegistrationTraining2dConfig | configuration for registration training phasis |
| RegistrationTraining2dData | data associated to training phasis of intensity based 2d registration algorithm |
| RegistrationTrainingStageData | data associated to a given stage of registration training phasis |
| RemoveTooCloseCirclesParams | parameters of "removing too close circles" phasis in Hough circles detection |
| Rgb | RGB triplet. |
| RobustDataPartitionConfig | configuration parameters for data partition method used during robust estimation process |
| RobustEstimationConfig | configuration parameters for robust estimation |
| RobustEstimationResults | robust estimation results |
| SamplingBallInfo | Parameters for a sampling ball around an image point. |
| SamplingRingInfo | Parameters for a sampling ring around an image point. |
| ScaleCandidates | scale candidates for processing |
| ScaleFactor2d | 2d scale factor |
| ScaleFactor3d | 3d scale factor |
| SimilarityStats | Similarity statistics between two images. |
| SizeSuperPixels | Real size of super pixels. |
| SmoothRgbColorMap | Smooth RGB color map. |
| StatsResult | Result for image statistics measure operation. |
| SuperPixelUpdateCenter | parameter used to update centers in the super pixels algorithm |
| SuperPixelUpdateCenters | Collection of super pixel update centers. |
| SurfaceExtractionSettings | Settings used for surfaces extraction. |
| UIntegers64 | Collection of 64-bits unsigned integers. |
| Voxel3d | position and intensity of a 3d voxel |
| Voxels3d | collection of 3d voxels |
| WarpMotionTransform2d | informations for warp motion transformation 2d |
| WarpMotionTransform2dColl | collection of warp motion transforms |
| WarpMotionTransform3d | informations for warp motion transformation 3d |
| ZSteps | collection of distance between successive z-plans of the image |
| DicPhaseRetrievalParams | Set of parameter used for the DIC phase retrieval algorithm. |
| NeighborsDistanceMsrParams | parameter for measures using a distance between entities |
| ▼Shape Analysis and Measurement | Modules containing shape measures |
| ▶Formula | Formula measures associated to a formula string |
| Arithmetic Formula | Arithmetic formula measure associated to a formula string |
| Logic Formula | Logical formula measure used during shape filtering |
| ▶Geometry | Modules containing shape measures based on geometry |
| ▶Basic | Modules containing shape measures based on basic geometry |
| Area2d | Shape 2d area measurement (measure NOT based on polygonal approximation) |
| Area3d | Shape 3d area measurement (measure based on polygonal approximation) |
| FirstPixel2d | Measure allowing to get the first pixel for 2d shape |
| FirstPixel3d | Measure allowing to get the first voxel for 3d shape |
| FirstPixelX | Measure returning the x-coordinate of the first pixel or voxel of shape |
| FirstPixelY | Measure returning the y-coordinate of the first pixel or voxel of shape |
| FirstPixelZ | Measure returning the z-coordinate of the first pixel or voxel of shape |
| ▶Image Borders Contact | Modules containing shape measures based on image borders contact |
| Image Borders Contact 2d | Measure allowing to check whether a shape has contact with image borders |
| Image Borders Contact 3d | Measure allowing to check whether a shape has contact with image borders |
| Touch Image Borders | Measure allowing to check whether shape touch at least a border of image |
| ImageRatio | Measure allowing to compute the ratio between the shapes areas and the image area |
| MeshVolume3d | Shape 3d volume measurement (measure based on polyhedral approximation) |
| Number of 2D Connected Components | Returns the number of connected components associated to each 2d shape |
| Number of 3D Connected Components | Returns the number of connected components associated to each 3d shape |
| NbPixels2d | Number of pixels in shape 2d measurement |
| NbPixels3d | Number of voxels in shape 3d measurement |
| Perimeter2d | Shape 2d perimeter measurement (measure based on polygonal approximation) |
| PolygonArea2d | Shape 2d area measurement (measure based on polygonal approximation) |
| Volume3d | Shape 3d volume measurement (measure NOT based on polyhedral approximation) |
| ▶BoundingBox | Modules containing shape measures based on bounding box geometry |
| [Concept] Bounding Box 2d | 2d axis aligned associated to a shape |
| [Concept] Bounding Box 3d | 3d axis aligned associated to a shape |
| BoundingBoxCenterX | Measure allowing to compute the position of the centroid of the envelope along the x axis |
| BoundingBoxCenterY | Measure allowing to compute the position of the centroid of the envelope along the y axis |
| BoundingBoxCenterZ | Measure allowing to compute the position of the centroid of the envelope along the z axis |
| BoundingBoxMaxX | Measure allowing to get the shape maximum x coordinate |
| BoundingBoxMaxY | Measure allowing to get the shape maximum y coordinate |
| BoundingBoxMaxZ | Measure allowing to get the shape maximum z coordinate |
| BoundingBoxMinX | Measure allowing to get the shape minimum x coordinate |
| BoundingBoxMinY | Measure allowing to get the shape minimum y coordinate |
| BoundingBoxMinZ | Measure allowing to get the shape minimum z coordinate |
| BoundingBoxSizeX | Measure allowing to compute the size of the shape envelope along the x axis |
| BoundingBoxSizeY | Measure allowing to compute the size of the shape envelope along the y axis |
| BoundingBoxSizeZ | Measure allowing to compute the size of the shape envelope along the z axis |
| ▶ConvexHull | Modules containing shape measures based on convex hull geometry |
| [Concept] Convex Hull 2d | 2d convex hull associated to a shape |
| [Concept] Convex Hull 3d | 3d convex hull associated to a shape |
| ConvexHullArea2d | Measure allowing to compute the area of the 2d convex hull for shape |
| ConvexHullArea3d | Measure allowing to compute the area of the 3d convex hull for shape |
| ConvexHullPerimeter2d | Measure allowing to compute the perimeter of the 2d convex hull for shape |
| ConvexHullVolume3d | Measure allowing to compute the volume of the 3d convex hull for shape |
| ▶Fitting | Modules containing shape measures based on geometrical fittings |
| LeastSquareBallCenterX | X coordinates for center of least square ball associated to shape tops |
| LeastSquareBallCenterY | Y coordinates for center of least square ball associated to shape tops |
| LeastSquareBallCenterZ | Z coordinates for center of least square ball associated to shape tops |
| LeastSquareBallRadius | Radius of least square ball associated to shape tops |
| LeastSquareCircle2d | Least square circle associated to shape tops |
| LeastSquareEllipse2d | Least square ellipse associated to shape tops |
| LeastSquareEllipsoid3d | Least square ellipsoid associated to shape tops |
| LeastSquareEllipsoidCenterX | X coordinates for center of least square ellipsoid associated to shape tops |
| LeastSquareEllipsoidCenterY | Y coordinates for center of least square ellipsoid associated to shape tops |
| LeastSquareEllipsoidCenterZ | Z coordinates for center of least square ellipsoid associated to shape tops |
| LeastSquareEllipsoidMajorRadius | Major radius of least square ellipsoid associated to shape tops |
| LeastSquareEllipsoidMediumRadius | Medium radius of least square ellipsoid associated to shape tops |
| LeastSquareEllipsoidMinorRadius | Minor radius of least square ellipsoid associated to shape tops |
| LeastSquareHyperPlanDistanceToOrigin | Distance to origin for least square hyper plan (line 2d or plan 3d) associated to shape tops |
| LeastSquareHyperPlanNormalX | X component of normal for least square hyper plan (line 2d or plan 3d) associated to shape tops |
| LeastSquareHyperPlanNormalY | Y component of normal for least square hyper plan (line 2d or plan 3d) associated to shape tops |
| LeastSquareHyperPlanNormalZ | Z component of normal for least square hyper plan (line 2d or plan 3d) associated to shape tops |
| LeastSquareLine2d | Least square line 2d associated to shape tops |
| LeastSquarePlan3d | Least square plan 3d associated to shape tops |
| LeastSquareSphere3d | Least square sphere associated to shape tops |
| MaxInscribedBallCenterX | X coordinates for center of ball of maximum radius enclosed by shape |
| MaxInscribedBallCenterY | Y coordinates for center of ball of maximum radius enclosed by shape |
| MaxInscribedBallRadius | Radius of ball of maximum radius enclosed by shape |
| MaxInscribedCircle2d | Circle of maximum radius enclosed by shape |
| MinEnclosingBallCenterX | X coordinates for center of ball of minimum radius enclosing shape |
| MinEnclosingBallCenterY | Y coordinates for center of ball of minimum radius enclosing shape |
| MinEnclosingBallCenterZ | Z coordinates for center of ball of minimum radius enclosing shape |
| MinEnclosingBallRadius | Radius of ball of minimum radius enclosing shape |
| MinEnclosingCircle2d | Circle of minimum radius enclosing shape |
| MinEnclosingSphere3d | Sphere of minimum radius enclosing shape |
| ▶FormFactor | Modules containing shape measures based on shape form factor geometry |
| ▶Angularity | Modules containing shape measures based on shape angularity |
| Degree of angularity 2d | Ratio of the bounding edge angles and the distance of the edges from the center of the particle which is defined by the largest inscribed circle to the radius of the maximum inscribed circle |
| Disparity angularity 2d | Measure allowing to build an histogram of disparity between angle measured on shape and angle measured on reference ellipse |
| Edge angularity 2d | Measure allowing to compute an angularity criterion based on a simple successive edge angle variation |
| Gradient angularity index 2d | Measure allowing to compute average of the change in the angles of the gradient vectors around the particle circumference |
| Outline slope angularity 2d | This measure allows to compute changes in the slope of the shape outline |
| Radius angularity index 2d | Sum of the distance difference between the outline of a shape in certain direction to that of an equivalent ellipse |
| AspectRatio | Measure the aspect ratio of a shape (measure based on polygonal or polyhedral approximation) |
| Circularity2d | Compute the circularity of a shape |
| Convexity | Measure the convexity of a shape |
| Equivalent Diameter | Compute the diameter of equivalent 2d circle or 3d sphere (circle with same area or sphere with same volume) |
| Equivalent Ray | Compute ray of equivalent 2d circle or 3d sphere (circle with same area or sphere with same volume) |
| Extent | Measure the extent of an object into its bounding box |
| Feret2d | Computes the feret diameter with its information (orientation and terminal points) |
| Feret3d | Computes the feret diameter with its information (orientation and terminal points) |
| FeretDiameter2d | Compute, for a given orientation, Feret diameter (measure based on polygonal approximation) |
| FeretDiameter3d | Compute, for a given orientation, Feret diameter (measure based on polyhedral approximation) |
| MaxFeretDiameter | Compute the maximal Feret diameter over a range of uniformly distributed orientations |
| MaxFeretOrientation2d | Returns the orientation of the maximum 2D Feret diameter |
| MaxFeretOrientationPhi3d | Returns the phi orientation (in the x-y plan) of the maximum 3D Feret diameter |
| MaxFeretOrientationTheta3d | Returns the theta orientation (angle between the z axis and the in the x-y plan) of the maximum 3D Feret diameter |
| MaxFeretPt0X | Returns the x coordinate of the first point used to compute the maximum Feret diameter |
| MaxFeretPt0Y | Returns the y coordinate of the first point used to compute the maximum Feret diameter |
| MaxFeretPt0Z | Returns the z coordinate of the first point used to compute the maximum Feret diameter |
| MaxFeretPt1X | Returns the x coordinate of the second point used to compute the maximum Feret diameter |
| MaxFeretPt1Y | Returns the y coordinate of the second point used to compute the maximum Feret diameter |
| MaxFeretPt1Z | Returns the z coordinate of the second point used to compute the maximum Feret diameter |
| MeanFeretDiameter | Compute the mean of Feret diameters over a range of uniformly distributed orientations |
| MinFeretDiameter | Compute the minimal Feret diameter over a range of uniformly distributed orientations |
| MinFeretOrientation2d | Returns the orientation of the minimum 2D Feret diameter |
| MinFeretOrientationPhi3d | Returns the phi orientation (in the x-y plan) of the minimum 3D Feret diameter |
| MinFeretOrientationTheta3d | Returns the theta orientation (angle between the z inis and the in the x-y plan) of the minimum 3D Feret diameter |
| MinFeretPt0X | Returns the x coordinate of the first point used to compute the minimum Feret diameter |
| MinFeretPt0Y | Returns the y coordinate of the first point used to compute the minimum Feret diameter |
| MinFeretPt0Z | Returns the z coordinate of the first point used to compute the minimum Feret diameter |
| MinFeretPt1X | Returns the x coordinate of the second point used to compute the minimum Feret diameter |
| MinFeretPt1Y | Returns the y coordinate of the second point used to compute the minimum Feret diameter |
| MinFeretPt1Z | Returns the z coordinate of the second point used to compute the minimum Feret diameter |
| Oriented extent | Measure the extent of an object into its oriented bounding box |
| RelativeSize | Measure allowing to get the number of shapes equivalent to the shape with minimum area |
| Roughness2d | Measure the roughness |
| Sphericity3d | Compute the sphericity of a 3d shape |
| ▶Inertia | Modules containing shape measures based on inertia geometry |
| Barycenter2d | Measure allowing to compute the barycenter for 2d shape |
| Barycenter3d | Measure allowing to compute the barycenter for 3d shape |
| BarycenterX | Measure allowing to compute the barycenter for shape along x-axis |
| BarycenterY | Allowing to compute the barycenter for shape along y-axis |
| BarycenterZ | Allowing to compute the barycenter for 3d shape along z-axis |
| Eccentricity2d | Measure eccentricity of the ellipse that has the same second moments as 2d shape |
| HuMoments2d | Hu Moments of order up to 3 measurement of a shape This measure computes the Hu moment invariants for each shape. The moments are calculated according to https://en.wikipedia.org/wiki/Image_moment#Moment_invariants |
| Inertia2d | Measure allowing to compute the second order moment for 2d shape |
| Inertia3d | Measure allowing to compute the second order moment for 3d shape |
| Inertia3dLambdaInter | Measure allowing to compute the intermediary eigen value from the second order moment matrix computed from the Inertia measurement for 3d shape |
| Inertia3dNormalOrientationPhi | Measure allowing to compute the 3d shape normal orientation (phi component of the (phi, theta) representation) from the second order moment matrix computed from the Inertia3d measurement |
| Inertia3dNormalOrientationTheta | Measure allowing to compute the 3d shape normal orientation (theta component of the (phi, theta) representation) from the second order moment matrix computed from the Inertia3d measurement |
| Inertia3dOrientationAlpha | Measure allowing to compute the shape orientation (alpha component) from the second order moment matrix computed from the Inertia3d measurement for 3d shape |
| Inertia3dOrientationBeta | Measure allowing to compute the shape orientation (beta component) from the second order moment matrix computed from the Inertia3d measurement for 3d shape |
| Inertia3dOrientationChi | Measure allowing to compute the shape orientation (chi component) from the second order moment matrix computed from the Inertia3d measurement for 3d shape |
| Inertia3dOrientationPhi | Measure allowing to compute the 3d shape orientation (phi component of the (phi, theta) representation) from the second order moment matrix computed from the Inertia3d measurement |
| Inertia3dOrientationTheta | Measure allowing to compute the 3d shape orientation (theta component of the (phi, theta) representation) from the second order moment matrix computed from the Inertia3d measurement |
| InertiaLambdaMax | Measure allowing to compute the maximum eigen value from the second order moment matrix computed from the Inertia measurement for shape |
| InertiaLambdaMin | Measure allowing to compute the minimum eigen value from the second order moment matrix computed from the Inertia2d measurement for shape |
| Inertia Normal Orientation 3d | Compute the Phi-Theta 3d normal orientation for each shape |
| Inertia Orientation 2d | Measure allowing to compute the shape orientation from the second order moment matrix computed from the Inertia2d measurement for 2d shape |
| Inertia Orientation 3d | Compute the Phi-Theta 3d orientation for each shape |
| ▶Matching | Modules containing shape measures based on shape matching geometry |
| HuDistance2d | Computes the distance between Hu moments of shapes in an image and and a template's Hu moments |
| HuMatch2d | Computes the distance between Hu moments of shapes in an image and and several templates' Hu moments |
| ▶Metrology | Modules containing metrological measures on shape |
| [Concept] Flatness 2d | Computation of distance from shape tops to considered line |
| [Concept] Flatness 3d | Computation of distance from shape tops to considered plan |
| FlatnessPeak | Out of flatness highest peak given measure reference hyper plan |
| FlatnessTotal | Out of flatness expressed as difference between highest peak and lowest valley given measure reference hyper plan |
| FlatnessValley | Out of flatness lowest valley given measure reference hyper plan |
| [Concept] Roundness 2d | Computation of distance from shape tops to considered circle |
| [Concept] Roundness 3d | Computation of distance from shape tops to considered sphere |
| RoundnessPeak | Out of roundness highest peak given measure reference ball |
| RoundnessTotal | Out of roundness expressed as difference between highest peak and lowest valley given measure reference ball |
| RoundnessValley | Out of roundness lowest valley given measure reference ball |
| ▶Neighborhood | Modules containing neighborhood measures on shape |
| Distance to nearest barycenter 2d | Computation of distance from shape barycenter to nearest neighbor shape barycenter for each shape |
| Distance to nearest barycenter 3d | Computation of distance from shape barycenter to nearest neighbor shape barycenter for each shape |
| Distance to nearest neighbor 2d | Computation of distance to nearest neighbor for each shape |
| Distance to nearest neighbor 3d | Computation of distance to nearest neighbor for each shape |
| Length of contact 2d | Measure allowing to compute length of contact between shapes |
| Number of neighbors | Measure allowing to compute number of neighbors of shapes given a distance threshold |
| Nearest neighbors 2d | Measure allowing to retrieve shapes at a given distance of measured shape |
| Nearest neighbors 3d | Measure allowing to retrieve shapes at a given distance of measured shape |
| Surface of contact 3d | Measure allowing to compute surface of contact between shapes |
| ▶Oriented Bounding Box | Modules containing shape measures based on oriented bounding box geometry |
| OBBCenterX | Measure allowing to compute the position of the centroid of the minimal oriented bounding box along the x axis |
| OBBCenterY | Measure allowing to compute the position of the centroid of the minimal oriented bounding box along the y axis |
| OBBCenterZ | Measure allowing to compute the position of the centroid of the minimal oriented bounding box along the z axis |
| OBBHeight | Measure allowing to get the height of the minimal oriented bounding box of a shape |
| OBBLength | Measure allowing to get the length of the minimal oriented bounding box of a shape |
| OBBOrientation2d | Measure allowing to get the orientation of the minimal oriented bounding box of a 2d shape |
| OBBOrientationAlpha | Measure allowing to get the orientation (alpha component, in radians) of the minimal oriented bounding box of a shape |
| OBBOrientationBeta | Measure allowing to get the orientation (beta component, in radians) of the minimal oriented bounding box of a shape |
| OBBOrientationChi | Measure allowing to get the orientation (chi component, in radians) of the minimal oriented bounding box of a shape |
| OBBWidth | Measure allowing to get the width of the minimal oriented bounding box of a shape |
| OrientedBoundingBox2d | 2d Oriented bounding box fitting a shape |
| OrientedBoundingBox3d | 3d Oriented bounding box fitting a shape |
| ▶Porosity | Modules containing shape measures based on porosity geometry |
| NbHoles | Compute number of holes associated to shape |
| Porosity | Material porosity measurement : fraction of the volume of voids over the total volume |
| ▶Projection | Modules containing shape measures based on projection geometry |
| SurfaceProjectionX | Measure that computes the surface of the projection along the X axis |
| SurfaceProjectionY | Measure that computes the surface of the projection along the Y axis |
| SurfaceProjectionZ | Measure that computes the surface of the projection along the Z axis |
| ▶Skeleton | Modules containing shape measures based on skeleton geometry |
| [Concept] Skeleton 2d | 2d skeleton associated to a shape |
| [Concept] Skeleton 2d Diameter | Extraction of shape 2d skeleton diameter |
| Skeleton2dDiameterLength | Length of the longest shortest path between any two skeleton 2d verticies |
| Skeleton2dDiameterMeanCurvature | Mean curvature of the longest shortest path between any two skeleton 2d verticies |
| Skeleton2dDiameterTortuosity | Tortuosity of the longest shortest path between any two skeleton 2d verticies |
| Skeleton2dLength | Length of graph associated to skeleton 2d |
| Skeleton2dMaxThickness | Maximum thickness of shape 2d defined using branches of its skeleton |
| Skeleton2dMeanEdgeLength | Mean edge length for graph associated to skeleton 2d |
| Skeleton2dMeanThickness | Mean thickness of shape 2d defined using branches of its skeleton |
| Skeleton2dMinThickness | Minimuml thickness of shape 2d defined using branches of its skeleton |
| Skeleton2dNbVertex | Number of vertex in graph associated to skeleton 2d |
| [Concept] Skeleton 2d Thickness | Extraction of shape 2d skeleton thickness informations |
| ▶Intensity | Modules containing shape measures based on intensity |
| ▶Histogram | Modules containing shape measures based on intensity histogram |
| Histogram | Measure of intensity histogram for shape |
| HistogramMostPopulatedGL | Compute the intensity of the most populated class |
| HistogramPopulationMax | Compute the population of the most populated class |
| HistogramQuantile | Gives the quantile of the intensity histogram |
| ▶Inertia | Modules containing shape measures based on intensity inertia |
| GreyBarycenter | Measure allowing to compute the barycenter ponderated by the gray level of each pixel for shape |
| GreyBarycenterX | Measure allowing to compute the x-coordinate of the barycenter ponderated by the gray level of each pixel for shape |
| GreyBarycenterY | Measure allowing to compute the y-coordinate of the barycenter ponderated by the gray level of each pixel for shape |
| GreyBarycenterZ | Measure allowing to compute the z-coordinate of the barycenter ponderated by the gray level of each pixel for shape |
| GreyInertia | Measure allowing to compute the second order moment ponderated by the gray level of each pixel for shape |
| GreyInertia3dNormalOrientationPhi | Measure allowing to compute the 3d shape normal orientation (phi component of the (phi, theta) representation) from the second order moment matrix computed from the GreyInertia measurement |
| GreyInertia3dNormalOrientationTheta | Measure allowing to compute the 3d shape normal orientation (theta component of the (phi, theta) representation) from the second order moment matrix computed from the GreyInertia measurement |
| GreyInertia3dOrientationPhi | Measure allowing to compute the 3d shape orientation (phi component of the (phi, theta) representation) from the second order moment matrix computed from the GreyInertia measurement |
| GreyInertia3dOrientationTheta | Measure allowing to compute the 3d shape orientation (theta component of the (phi, theta) representation) from the second order moment matrix computed from the GreyInertia measurement |
| GreyInertiaLambdaInter | Measure allowing to compute the intermediary eigen value from the second order moment matrix computed from the GreyInertia measurement for shape |
| GreyInertiaLambdaMax | Measure allowing to compute the maximum eigen value from the second order moment matrix computed from the GreyInertia measurement for shape |
| GreyInertiaLambdaMin | Measure allowing to compute the minimum eigen value from the second order moment matrix computed from the GreyInertia measurement for shape |
| GreyInertiaOrientation2d | Measure allowing to compute the shape orientation from the second order moment matrix computed from the GreyInertia2d measurement for 2d shape |
| GreyInertiaOrientationAlpha | Measure allowing to compute the shape 3d orientation (alpha component) from the second order moment matrix computed from the GreyInertia measurement for shape |
| GreyInertiaOrientationBeta | Measure allowing to compute the shape 3d orientation (beta component) from the second order moment matrix computed from the GreyInertia measurement for shape |
| GreyInertiaOrientationChi | Measure allowing to compute the shape 3d orientation (chi component) from the second order moment matrix computed from the GreyInertia measurement for shape |
| GreyMoments | Measure allowing to compute the zeroth to the third moment ponderated by the gray level of each pixel for shape |
| ▶Statistics | Modules containing shape measures based on intensity statistics |
| Energy | Measure allowing to compute energy of intensities for shape |
| Entropy | Measure allowing to compute entropy of intensities for shape |
| Kurtosis | Measure allowing to compute kurtosis of intensities for shape |
| Local histogram module | Measure allowing to compute Lowitz local histogram module |
| Max | Measure allowing to compute maximum of intensities for shape |
| MaxAbs | Measure allowing to compute maximum of the absolute values of the intensities for shape |
| Mean | Allowing to compute mean of intensities for shape |
| MeanAbs | Measure allowing to compute mean of absolute intensities for shape |
| Median | Measure allowing to compute median of intensities for shape |
| Min | Measure allowing to compute minimum of intensities for shape |
| MinAbs | Measure allowing to compute minimum of the absolute values of the intensities for shape |
| Skewness | Measure allowing to compute skewness of intensities for shape |
| StdDev | Measure allowing to compute standard deviation of intensities for shape |
| Sum | Measure allowing to compute sum of intensities for shape |
| SumAbs | Measure allowing to compute sum of absolute values of intensities for shape |
| SumSquare | Measure allowing to compute sum of squares of intensities for shape |
| Variance | Measure allowing to compute variance of intensities for shape |
| RichardsonLucyDeconvolution2dImg_Grp |
1.8.14