GPU accelerated image processing for everyone
By Robert Haase, based on work by Bradley Lowekamp and the SimpleITK and ITK teams
Apply SimpleITKs Gaussian Blur to an image.
See also: https://simpleitk.org/doxygen/latest/html/classitk_1_1simple_1_1DiscreteGaussianImageFilter.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_simpleITKDiscreteGaussian(Image input, Image destination, Number sigma_x, Number sigma_y, Number sigma_z);
// 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); destination = clijx.create(input); float sigma_x = 1.0; float sigma_y = 2.0; float sigma_z = 3.0;
// Execute operation on GPU clijx.simpleITKDiscreteGaussian(input, destination, sigma_x, sigma_y, sigma_z);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(input); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters input = clijx.pushMat(input_matrix); destination = clijx.create(input); sigma_x = 1.0; sigma_y = 2.0; sigma_z = 3.0;
% Execute operation on GPU clijx.simpleITKDiscreteGaussian(input, destination, sigma_x, sigma_y, sigma_z);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); 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