CLIJ2

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greyscaleOpeningBox

Apply a greyscale morphological opening to the input image.

It applies a minimum filter first and the result is processed by a maximum filter with given radii. High intensity regions smaller than radius will disappear.

Categories: Background, Filter

Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.30.2.0.jar.

Usage in ImageJ macro

Ext.CLIJx_greyscaleOpeningBox(Image source, Image destination, Number radius_x, Number radius_y, Number radius_z);

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 source = clijx.push(sourceImagePlus);
destination = clijx.create(source);
int radius_x = 10;
int radius_y = 20;
int radius_z = 30;
// Execute operation on GPU
clijx.greyscaleOpeningBox(source, destination, radius_x, radius_y, radius_z);
// show result
destinationImagePlus = clijx.pull(destination);
destinationImagePlus.show();

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

% get input parameters
source = clijx.pushMat(source_matrix);
destination = clijx.create(source);
radius_x = 10;
radius_y = 20;
radius_z = 30;
% Execute operation on GPU
clijx.greyscaleOpeningBox(source, destination, radius_x, radius_y, radius_z);
% show result
destination = clijx.pullMat(destination)

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

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