Image Kernel Convolution

Tustison, Nicholas*,Gee, James
Abstract
Image Kernel Convolution

Abstract

Convolution is a basic operation in image analysis and the Insight Toolkit provides a well-framed mechanism for such operations (see Chapter 11 of the ITK Software Guide. The classes associated with this contribution are meant to simplify convolution operations for the user who wishes to convolve a given image with an arbitrary image kernel. This entails the use of the neighborhood iterator coupled with a image kernel neighborhood operator which we provide. A couple of examples are provided to illustrate its use.

Keywords

convolutionimage kernel
Manuscript
Source Code and Data

Source Code and Data

Source.DS_Store6 KBCMakeLists.txt3 KBIJMacros.txt3.9 KBImagesBrainT1SliceBorder20.nii.gz20.9 KBconstant.nii.gz80 Boutput_avg.nii.gz53 KBoutput_sobel_x.nii.gz53.3 KBoutput_sobel_y.nii.gz47.9 KBsobel_x.nii.gz87 Bsobel_y.nii.gz85 BitkConvolutionImageFilter.h3.1 KBitkConvolutionImageFilter.txx5.8 KBitkConvolutionImageFilterTest.cxx1.9 KBitkImageKernelOperator.h2.7 KBitkImageKernelOperator.txx2 KB

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