morphoLibJClassicWatershed

Apply MorpholibJs Classic Watershed to an image.

Connectedness: 4 (2D) / 6 (3D)

Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-morpholibj_-0.6.0.1.jar.

Usage in ImageJ macro

Ext.CLIJx_morphoLibJClassicWatershed(Image gradient_input, Image binary_restriction_input, Image destination, Number h_min, Number h_max);

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 gradient_input = clijx.push(gradient_inputImagePlus);
ClearCLBuffer binary_restriction_input = clijx.push(binary_restriction_inputImagePlus);
destination = clijx.create(gradient_input);
float h_min = 1.0;
float h_max = 2.0;

// Execute operation on GPU
clijx.morphoLibJClassicWatershed(gradient_input, binary_restriction_input, destination, h_min, h_max);

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

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

Matlab

% init CLIJ and GPU
clijx = init_clatlabx();

% get input parameters
gradient_input = clijx.pushMat(gradient_input_matrix);
binary_restriction_input = clijx.pushMat(binary_restriction_input_matrix);
destination = clijx.create(gradient_input);
h_min = 1.0;
h_max = 2.0;

% Execute operation on GPU
clijx.morphoLibJClassicWatershed(gradient_input, binary_restriction_input, destination, h_min, h_max);

% show result
destination = clijx.pullMat(destination)

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

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