GPU accelerated image processing for everyone
Finds and labels local maxima with neighboring maxima and background above a given tolerance threshold.
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.32.0.1.jar.
Ext.CLIJx_findMaxima(Image source, Image destination, Number noise_threshold);
// 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); float noise_threshold = 1.0;
// Execute operation on GPU clijx.findMaxima(source, destination, noise_threshold);
// 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); noise_threshold = 1.0;
% Execute operation on GPU clijx.findMaxima(source, destination, noise_threshold);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(source); clijx.release(destination);