CLIJ2
GPU accelerated image processing for everyone
shortestDistances
Determine the shortest distance from a distance matrix.
This corresponds to the minimum for each individial column.
Categories: Measurements, Graphs
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.
shortestDistances often follows after
Usage in ImageJ macro
Ext.CLIJ2_shortestDistances(Image distance_matrix, Image destination_minimum_distances);
Usage in object oriented programming languages
Java
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer distance_matrix = clij2.push(distance_matrixImagePlus); destination_minimum_distances = clij2.create(distance_matrix);
// Execute operation on GPU clij2.shortestDistances(distance_matrix, destination_minimum_distances);
// show result destination_minimum_distancesImagePlus = clij2.pull(destination_minimum_distances); destination_minimum_distancesImagePlus.show(); // cleanup memory on GPU clij2.release(distance_matrix); clij2.release(destination_minimum_distances);
Matlab
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters distance_matrix = clij2.pushMat(distance_matrix_matrix); destination_minimum_distances = clij2.create(distance_matrix);
% Execute operation on GPU clij2.shortestDistances(distance_matrix, destination_minimum_distances);
% show result destination_minimum_distances = clij2.pullMat(destination_minimum_distances) % cleanup memory on GPU clij2.release(distance_matrix); clij2.release(destination_minimum_distances);
Icy JavaScript
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters distance_matrix_sequence = getSequence(); distance_matrix = clij2.pushSequence(distance_matrix_sequence); destination_minimum_distances = clij2.create(distance_matrix);
// Execute operation on GPU clij2.shortestDistances(distance_matrix, destination_minimum_distances);
// show result destination_minimum_distances_sequence = clij2.pullSequence(destination_minimum_distances) Icy.addSequence(destination_minimum_distances_sequence); // cleanup memory on GPU clij2.release(distance_matrix); clij2.release(destination_minimum_distances);
