GPU accelerated image processing for everyone
Apply MorpholibJ Keep Largest Region to a binary image.
Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-morpholibj_-0.6.0.1.jar.
Ext.CLIJx_morphoLibJKeepLargestRegion(Image binary_input, Image binary_destination);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer binary_input = clijx.push(binary_inputImagePlus); binary_destination = clijx.create(binary_input);
// Execute operation on GPU clijx.morphoLibJKeepLargestRegion(binary_input, binary_destination);
// show result binary_destinationImagePlus = clijx.pull(binary_destination); binary_destinationImagePlus.show(); // cleanup memory on GPU clijx.release(binary_input); clijx.release(binary_destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters binary_input = clijx.pushMat(binary_input_matrix); binary_destination = clijx.create(binary_input);
% Execute operation on GPU clijx.morphoLibJKeepLargestRegion(binary_input, binary_destination);
% show result binary_destination = clijx.pullMat(binary_destination) % cleanup memory on GPU clijx.release(binary_input); clijx.release(binary_destination);