averageDistanceOfNClosestNeighborsMap

Takes a label map, determines distances between all centroids and replaces every label with the average distance to the n closest neighboring labels.

Categories: Graphs, Labels, Measurements

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_averageDistanceOfNClosestNeighborsMap(Image input, Image destination, Number n);

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 input = clij2.push(inputImagePlus);
destination = clij2.create(input);
int n = 10;

// Execute operation on GPU
clij2.averageDistanceOfNClosestNeighborsMap(input, destination, n);

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

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

Matlab

% init CLIJ and GPU
clij2 = init_clatlab();

% get input parameters
input = clij2.pushMat(input_matrix);
destination = clij2.create(input);
n = 10;

% Execute operation on GPU
clij2.averageDistanceOfNClosestNeighborsMap(input, destination, n);

% show result
destination = clij2.pullMat(destination)

% cleanup memory on GPU
clij2.release(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
input_sequence = getSequence();
input = clij2.pushSequence(input_sequence);
destination = clij2.create(input);
n = 10;

// Execute operation on GPU
clij2.averageDistanceOfNClosestNeighborsMap(input, destination, n);

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

clEsperanto Python (experimental)

import pyclesperanto_prototype as cle

cle.average_distance_of_n_closest_neighbors_map(input, destination, n)

Example notebooks

quantitative_neighbor_maps.ipynb

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