GPU accelerated image processing for everyone
By Robert Haase, based on work by Bradley Lowekamp and the SimpleITK and ITK teams
Convolve an image with a kernel image using SimpleITK and a fast Fourier transform (FFT).
See also: https://simpleitk.org/doxygen/latest/html/classitk_1_1simple_1_1FFTConvolutionImageFilter.html
Category: Filter
Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-simpleitk_-0.6.0.1.jar.
Ext.CLIJx_simpleITKFFTConvolution(Image input, Image input_kernel, Image destination);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer input = clijx.push(inputImagePlus); ClearCLBuffer input_kernel = clijx.push(input_kernelImagePlus); destination = clijx.create(input);
// Execute operation on GPU clijx.simpleITKFFTConvolution(input, input_kernel, destination);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(input); clijx.release(input_kernel); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters input = clijx.pushMat(input_matrix); input_kernel = clijx.pushMat(input_kernel_matrix); destination = clijx.create(input);
% Execute operation on GPU clijx.simpleITKFFTConvolution(input, input_kernel, destination);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(input_kernel); clijx.release(destination);
This plugin is licensed BSD3, see:
https://github.com/clij/clijx-assistant-simpleitk/blob/master/license.txt
The underlying SimpleITK librariy is Apache 2 licensed:
https://github.com/SimpleITK/SimpleITK/blob/master/LICENSE