GPU accelerated image processing for everyone
Apply ImageJs Variance filter to an image.
In case of processing a 2D image, only signa_x is used.
Note: This operation runs on the CPU.
Category: Filter
Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-imagej_-0.6.0.1.jar.
Ext.CLIJx_imageJVariance(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.imageJVariance(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.imageJVariance(input, destination, sigma_x, sigma_y, sigma_z);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(destination);
Public domain