GPU accelerated image processing for everyone
Analyses a label map and if there are gaps in the indexing (e.g. label 5 is not present) all subsequent labels will be relabelled.
Thus, afterwards number of labels and maximum label index are equal. This operation is mostly performed on the CPU.
Category: Labels
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_closeIndexGapsInLabelMap(Image labeling_input, Image labeling_destination);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer labeling_input = clij2.push(labeling_inputImagePlus); labeling_destination = clij2.create(labeling_input);
// Execute operation on GPU clij2.closeIndexGapsInLabelMap(labeling_input, labeling_destination);
// show result labeling_destinationImagePlus = clij2.pull(labeling_destination); labeling_destinationImagePlus.show(); // cleanup memory on GPU clij2.release(labeling_input); clij2.release(labeling_destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters labeling_input = clij2.pushMat(labeling_input_matrix); labeling_destination = clij2.create(labeling_input);
% Execute operation on GPU clij2.closeIndexGapsInLabelMap(labeling_input, labeling_destination);
% show result labeling_destination = clij2.pullMat(labeling_destination) % cleanup memory on GPU clij2.release(labeling_input); clij2.release(labeling_destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters labeling_input_sequence = getSequence(); labeling_input = clij2.pushSequence(labeling_input_sequence); labeling_destination = clij2.create(labeling_input);
// Execute operation on GPU clij2.closeIndexGapsInLabelMap(labeling_input, labeling_destination);
// show result labeling_destination_sequence = clij2.pullSequence(labeling_destination) Icy.addSequence(labeling_destination_sequence); // cleanup memory on GPU clij2.release(labeling_input); clij2.release(labeling_destination);
import pyclesperanto_prototype as cle cle.close_index_gaps_in_label_map(labeling_input, labeling_destination)