GPU accelerated image processing for everyone
Takes a touch matrix and a vector of values to determine the median value among 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_medianOfTouchingNeighbors(Image values, Image touch_matrix, Image median_values_destination);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer values = clij2.push(valuesImagePlus); ClearCLBuffer touch_matrix = clij2.push(touch_matrixImagePlus); median_values_destination = clij2.create(values);
// Execute operation on GPU clij2.medianOfTouchingNeighbors(values, touch_matrix, median_values_destination);
// show result median_values_destinationImagePlus = clij2.pull(median_values_destination); median_values_destinationImagePlus.show(); // cleanup memory on GPU clij2.release(values); clij2.release(touch_matrix); clij2.release(median_values_destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters values = clij2.pushMat(values_matrix); touch_matrix = clij2.pushMat(touch_matrix_matrix); median_values_destination = clij2.create(values);
% Execute operation on GPU clij2.medianOfTouchingNeighbors(values, touch_matrix, median_values_destination);
% show result median_values_destination = clij2.pullMat(median_values_destination) % cleanup memory on GPU clij2.release(values); clij2.release(touch_matrix); clij2.release(median_values_destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters values_sequence = getSequence(); values = clij2.pushSequence(values_sequence); touch_matrix_sequence = getSequence(); touch_matrix = clij2.pushSequence(touch_matrix_sequence); median_values_destination = clij2.create(values);
// Execute operation on GPU clij2.medianOfTouchingNeighbors(values, touch_matrix, median_values_destination);
// show result median_values_destination_sequence = clij2.pullSequence(median_values_destination) Icy.addSequence(median_values_destination_sequence); // cleanup memory on GPU clij2.release(values); clij2.release(touch_matrix); clij2.release(median_values_destination);
import pyclesperanto_prototype as cle cle.median_of_touching_neighbors(values, touch_matrix, median_values_destination)
filtering_in_graphs
neighbors_of_neighbors
tribolium_morphometry
neighbors_of_neighbors.ipynb
tissue_neighborhood_quantification.ipynb
filtering_in_graphs.ijm
neighbors_of_neighbors.ijm
tribolium_morphometry.ijm