GPU accelerated image processing for everyone
Transforms a binary image with single pixles set to 1 to a labelled spots image.
Transforms a spots image as resulting from maximum/minimum detection in an image of the same size where every spot has a number 1, 2, … n.
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_labelSpots(Image input_spots, Image labelled_spots_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_spots = clij2.push(input_spotsImagePlus); labelled_spots_destination = clij2.create(input_spots);
// Execute operation on GPU clij2.labelSpots(input_spots, labelled_spots_destination);
// show result labelled_spots_destinationImagePlus = clij2.pull(labelled_spots_destination); labelled_spots_destinationImagePlus.show(); // cleanup memory on GPU clij2.release(input_spots); clij2.release(labelled_spots_destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters input_spots = clij2.pushMat(input_spots_matrix); labelled_spots_destination = clij2.create(input_spots);
% Execute operation on GPU clij2.labelSpots(input_spots, labelled_spots_destination);
% show result labelled_spots_destination = clij2.pullMat(labelled_spots_destination) % cleanup memory on GPU clij2.release(input_spots); clij2.release(labelled_spots_destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters input_spots_sequence = getSequence(); input_spots = clij2.pushSequence(input_spots_sequence); labelled_spots_destination = clij2.create(input_spots);
// Execute operation on GPU clij2.labelSpots(input_spots, labelled_spots_destination);
// show result labelled_spots_destination_sequence = clij2.pullSequence(labelled_spots_destination) Icy.addSequence(labelled_spots_destination_sequence); // cleanup memory on GPU clij2.release(input_spots); clij2.release(labelled_spots_destination);
import pyclesperanto_prototype as cle cle.label_spots(input_spots, labelled_spots_destination)
spots_pointlists_matrices_tables
tribolium_morphometry
bead_segmentation.ipynb
spots_pointlists_matrices_tables.ijm
tribolium_morphometry.ijm