GPU accelerated image processing for everyone
Takes a touch matrix and a distance matrix to determine the shortest distance of touching neighbors for every object.
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.
Ext.CLIJ2_minimumDistanceOfTouchingNeighbors(Image distance_matrix, Image touch_matrix, Image minimum_distancelist_destination);
// 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); ClearCLBuffer touch_matrix = clij2.push(touch_matrixImagePlus); minimum_distancelist_destination = clij2.create(distance_matrix);
// Execute operation on GPU clij2.minimumDistanceOfTouchingNeighbors(distance_matrix, touch_matrix, minimum_distancelist_destination);
// show result minimum_distancelist_destinationImagePlus = clij2.pull(minimum_distancelist_destination); minimum_distancelist_destinationImagePlus.show(); // cleanup memory on GPU clij2.release(distance_matrix); clij2.release(touch_matrix); clij2.release(minimum_distancelist_destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters distance_matrix = clij2.pushMat(distance_matrix_matrix); touch_matrix = clij2.pushMat(touch_matrix_matrix); minimum_distancelist_destination = clij2.create(distance_matrix);
% Execute operation on GPU clij2.minimumDistanceOfTouchingNeighbors(distance_matrix, touch_matrix, minimum_distancelist_destination);
% show result minimum_distancelist_destination = clij2.pullMat(minimum_distancelist_destination) % cleanup memory on GPU clij2.release(distance_matrix); clij2.release(touch_matrix); clij2.release(minimum_distancelist_destination);
// 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); touch_matrix_sequence = getSequence(); touch_matrix = clij2.pushSequence(touch_matrix_sequence); minimum_distancelist_destination = clij2.create(distance_matrix);
// Execute operation on GPU clij2.minimumDistanceOfTouchingNeighbors(distance_matrix, touch_matrix, minimum_distancelist_destination);
// show result minimum_distancelist_destination_sequence = clij2.pullSequence(minimum_distancelist_destination) Icy.addSequence(minimum_distancelist_destination_sequence); // cleanup memory on GPU clij2.release(distance_matrix); clij2.release(touch_matrix); clij2.release(minimum_distancelist_destination);
import pyclesperanto_prototype as cle cle.minimum_distance_of_touching_neighbors(distance_matrix, touch_matrix, minimum_distancelist_destination)
shape_descriptors_based_on_neighborhood_graphs.ipynb