GPU accelerated image processing for everyone
Takes a binary image, labels connected components and dilates the regions using a octagon shape until they touch and only inside another binary mask image.
The resulting label map is written to the output.
Hint: Process isotropic images only.
Categories: Filter, Labels, Binary
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.
Ext.CLIJ2_maskedVoronoiLabeling(Image input, Image mask, Image destination);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer input = clij2.push(inputImagePlus); ClearCLBuffer mask = clij2.push(maskImagePlus); destination = clij2.create(input);
// Execute operation on GPU clij2.maskedVoronoiLabeling(input, mask, destination);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(input); clij2.release(mask); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters input = clij2.pushMat(input_matrix); mask = clij2.pushMat(mask_matrix); destination = clij2.create(input);
% Execute operation on GPU clij2.maskedVoronoiLabeling(input, mask, destination);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(input); clij2.release(mask); clij2.release(destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters input_sequence = getSequence(); input = clij2.pushSequence(input_sequence); mask_sequence = getSequence(); mask = clij2.pushSequence(mask_sequence); destination = clij2.create(input);
// Execute operation on GPU clij2.maskedVoronoiLabeling(input, mask, destination);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(input); clij2.release(mask); clij2.release(destination);
import pyclesperanto_prototype as cle cle.masked_voronoi_labeling(input, mask, destination)
voronoi_otsu_labeling
voronoi_otsu_labeling.ipynb