localMaximumAverageDistanceOfNClosestNeighborsMap

Takes a label map, determines distances between all centroids, the mean distance of the n closest points for every point and replaces every label with the maximum distance of touching labels.

Categories: Graphs, Labels, Measurements, Visualisation

Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.30.1.21.jar.

Usage in ImageJ macro

Ext.CLIJx_localMaximumAverageDistanceOfNClosestNeighborsMap(Image input, Image destination, Number n);

Usage in object oriented programming languages

Java

// init CLIJ and GPU
import net.haesleinhuepf.clijx.CLIJx;
import net.haesleinhuepf.clij.clearcl.ClearCLBuffer;
CLIJx clijx = CLIJx.getInstance();

// get input parameters
ClearCLBuffer input = clijx.push(inputImagePlus);
destination = clijx.create(input);
int n = 10;

// Execute operation on GPU
clijx.localMaximumAverageDistanceOfNClosestNeighborsMap(input, destination, n);

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

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

Matlab

% init CLIJ and GPU
clijx = init_clatlabx();

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

% Execute operation on GPU
clijx.localMaximumAverageDistanceOfNClosestNeighborsMap(input, destination, n);

% show result
destination = clijx.pullMat(destination)

% cleanup memory on GPU
clijx.release(input);
clijx.release(destination);

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