GPU accelerated image processing for everyone
Computes the local standard deviation of a pixels spherical neighborhood.
The spheres size is specified by its half-width, half-height and half-depth (radius). If 2D images are given, radius_z will be ignored.
Category: Filter
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.30.1.21.jar.
Ext.CLIJx_standardDeviationSphere(Image source, Image destination, Number radius_x, Number radius_y, Number radius_z);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer source = clijx.push(sourceImagePlus); destination = clijx.create(source); int radius_x = 10; int radius_y = 20; int radius_z = 30;
// Execute operation on GPU clijx.standardDeviationSphere(source, destination, radius_x, radius_y, radius_z);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(source); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters source = clijx.pushMat(source_matrix); destination = clijx.create(source); radius_x = 10; radius_y = 20; radius_z = 30;
% Execute operation on GPU clijx.standardDeviationSphere(source, destination, radius_x, radius_y, radius_z);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(source); clijx.release(destination);