morphoLibJExtendedMinima

Apply MorpholibJ’s Extended Minima to an image to produce an image where minima regions are set to 255 and background to 0.

The tolerance parameter specifies how deep intensity valley between minima can be to fuse them while minima detection. This operation uses connectivity = 6 (a.k.a. diamond).

Categories: Binary, Detection

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_morphoLibJExtendedMinima(Image input, Image binary_destination, Number tolerance_threshold);

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);
binary_destination = clijx.create(input);
float tolerance_threshold = 1.0;

// Execute operation on GPU
clijx.morphoLibJExtendedMinima(input, binary_destination, tolerance_threshold);

// show result
binary_destinationImagePlus = clijx.pull(binary_destination);
binary_destinationImagePlus.show();

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

Matlab

% init CLIJ and GPU
clijx = init_clatlabx();

% get input parameters
input = clijx.pushMat(input_matrix);
binary_destination = clijx.create(input);
tolerance_threshold = 1.0;

% Execute operation on GPU
clijx.morphoLibJExtendedMinima(input, binary_destination, tolerance_threshold);

% show result
binary_destination = clijx.pullMat(binary_destination)

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

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