GPU accelerated image processing for everyone
Takes a label image and a parametric intensity image and will replace each labels value in the parametric image by the minimum value of neighboring labels. The distance number of nearest neighbors can be configured. Note: Values of all pixels in a label each must be identical.
parametric_map : Image label_map : Image parametric_map_destination : Image n : int number of nearest neighbors
Categories: Measurements, Filter, Graphs
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.30.1.21.jar.
Ext.CLIJx_minimumOfNNearestNeighborsMap(Image parametric_map, Image label_map, Image parametric_map_destination, Number n);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer parametric_map = clijx.push(parametric_mapImagePlus); ClearCLBuffer label_map = clijx.push(label_mapImagePlus); parametric_map_destination = clijx.create(parametric_map); int n = 10;
// Execute operation on GPU clijx.minimumOfNNearestNeighborsMap(parametric_map, label_map, parametric_map_destination, n);
// show result parametric_map_destinationImagePlus = clijx.pull(parametric_map_destination); parametric_map_destinationImagePlus.show(); // cleanup memory on GPU clijx.release(parametric_map); clijx.release(label_map); clijx.release(parametric_map_destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters parametric_map = clijx.pushMat(parametric_map_matrix); label_map = clijx.pushMat(label_map_matrix); parametric_map_destination = clijx.create(parametric_map); n = 10;
% Execute operation on GPU clijx.minimumOfNNearestNeighborsMap(parametric_map, label_map, parametric_map_destination, n);
% show result parametric_map_destination = clijx.pullMat(parametric_map_destination) % cleanup memory on GPU clijx.release(parametric_map); clijx.release(label_map); clijx.release(parametric_map_destination);
import pyclesperanto_prototype as cle cle.minimum_of_n_nearest_neighbors_map(parametric_map, label_map, parametric_map_destination, n)