IPSDK  4_1_0_2
IPSDK : Image Processing Software Development Kit
Modules
Image intensity transformations

modules containing intensity transformations on images, pixel by pixel More...

Modules

 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 $InOptInputRange = [inMin, inMax]$ to a given output range $InOutputRange = [outMin, outMax]$
 
 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.
 

Detailed Description

modules containing intensity transformations on images, pixel by pixel

This group aggregates all intensity transformations on images, pixel by pixel