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labelMeanOfLaplacianMap

Takes an image and a corresponding label map, determines the mean intensity in the laplacian of the image per label and replaces every label with the that number.

This results in a parametric image visualizing local contrast.

Categories: 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_labelMeanOfLaplacianMap(Image input, Image label_map, Image destination);

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);
ClearCLBuffer label_map = clijx.push(label_mapImagePlus);
destination = clijx.create(input);
// Execute operation on GPU
clijx.labelMeanOfLaplacianMap(input, label_map, destination);
// show result
destinationImagePlus = clijx.pull(destination);
destinationImagePlus.show();

// cleanup memory on GPU
clijx.release(input);
clijx.release(label_map);
clijx.release(destination);
Matlab
% init CLIJ and GPU
clijx = init_clatlabx();

% get input parameters
input = clijx.pushMat(input_matrix);
label_map = clijx.pushMat(label_map_matrix);
destination = clijx.create(input);
% Execute operation on GPU
clijx.labelMeanOfLaplacianMap(input, label_map, destination);
% show result
destination = clijx.pullMat(destination)

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

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