CLIJ2

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GPU accelerated image processing for everyone

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findAndLabelMaxima

Determine maxima with a given tolerance to surrounding maxima and background and label them.

Categories: Detection, Labels

Usage in ImageJ macro

Ext.CLIJx_findAndLabelMaxima(Image input, Image destination, Number tolerance, Boolean invert);

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);
float tolerance = 1.0;
boolean invert = true;
// Execute operation on GPU
clijx.findAndLabelMaxima(input, destination, tolerance, invert);
// 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);
tolerance = 1.0;
invert = true;
% Execute operation on GPU
clijx.findAndLabelMaxima(input, destination, tolerance, invert);
% show result
destination = clijx.pullMat(destination)

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

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