euclideanDistanceFromLabelCentroidMap

Takes a label map, determines the centroids of all labels and writes the distance of all labelled pixels to their centroid in the result image. Background pixels stay zero.

Categories: Measurements, Labels

Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.

Usage in ImageJ macro

Ext.CLIJ2_euclideanDistanceFromLabelCentroidMap(Image labelmap_input, Image destination);

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 labelmap_input = clij2.push(labelmap_inputImagePlus);
destination = clij2.create(labelmap_input);

// Execute operation on GPU
clij2.euclideanDistanceFromLabelCentroidMap(labelmap_input, destination);

// show result
destinationImagePlus = clij2.pull(destination);
destinationImagePlus.show();

// cleanup memory on GPU
clij2.release(labelmap_input);
clij2.release(destination);

Matlab

% init CLIJ and GPU
clij2 = init_clatlab();

% get input parameters
labelmap_input = clij2.pushMat(labelmap_input_matrix);
destination = clij2.create(labelmap_input);

% Execute operation on GPU
clij2.euclideanDistanceFromLabelCentroidMap(labelmap_input, destination);

% show result
destination = clij2.pullMat(destination)

% cleanup memory on GPU
clij2.release(labelmap_input);
clij2.release(destination);

Icy JavaScript

// init CLIJ and GPU
importClass(net.haesleinhuepf.clicy.CLICY);
importClass(Packages.icy.main.Icy);

clij2 = CLICY.getInstance();

// get input parameters
labelmap_input_sequence = getSequence();
labelmap_input = clij2.pushSequence(labelmap_input_sequence);
destination = clij2.create(labelmap_input);

// Execute operation on GPU
clij2.euclideanDistanceFromLabelCentroidMap(labelmap_input, destination);

// show result
destination_sequence = clij2.pullSequence(destination)
Icy.addSequence(destination_sequence);
// cleanup memory on GPU
clij2.release(labelmap_input);
clij2.release(destination);

clEsperanto Python (experimental)

import pyclesperanto_prototype as cle

cle.euclidean_distance_from_label_centroid_map(labelmap_input, destination)

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