GPU accelerated image processing for everyone
Starting from a label map, draw lines between n closest labels for each label resulting in a mesh.
The end points of the lines correspond to the centroids of the labels.
Categories: Graphs, Labels, Measurements
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_drawMeshBetweenNClosestLabels(Image input, Image destination, Number number_of_closest_labels);
// 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); destination = clij2.create(input); int number_of_closest_labels = 10;
// Execute operation on GPU clij2.drawMeshBetweenNClosestLabels(input, destination, number_of_closest_labels);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(input); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters input = clij2.pushMat(input_matrix); destination = clij2.create(input); number_of_closest_labels = 10;
% Execute operation on GPU clij2.drawMeshBetweenNClosestLabels(input, destination, number_of_closest_labels);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(input); 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); destination = clij2.create(input); number_of_closest_labels = 10;
// Execute operation on GPU clij2.drawMeshBetweenNClosestLabels(input, destination, number_of_closest_labels);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(input); clij2.release(destination);
import pyclesperanto_prototype as cle cle.draw_mesh_between_n_closest_labels(input, destination, number_of_closest_labels)
mesh_nearest_neighbors.ipynb
mesh_with_distances.ipynb
neighborhood_definitions.ipynb