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gradientY

Computes the gradient of gray values along Y.

Assuming a, b and c are three adjacent pixels in Y direction. In the target image will be saved as: <pre>b’ = c - a;</pre>

Category: Filter

Usage in ImageJ macro

Ext.CLIJ2_gradientY(Image source, Image destination);

Usage in object oriented programming languages

Java
// init CLIJ and GPU
import net.haesleinhuepf.clij2.CLIJ2;
import net.haesleinhuepf.clij.clearcl.ClearCLBuffer;
CLIJ2 clij2 = CLIJ2.getInstance();

// get input parameters
ClearCLBuffer source = clij2.push(sourceImagePlus);
destination = clij2.create(source);
// Execute operation on GPU
clij2.gradientY(source, destination);
// show result
destinationImagePlus = clij2.pull(destination);
destinationImagePlus.show();

// cleanup memory on GPU
clij2.release(source);
clij2.release(destination);
Matlab
% init CLIJ and GPU
clij2 = init_clatlab();

% get input parameters
source = clij2.pushMat(source_matrix);
destination = clij2.create(source);
% Execute operation on GPU
clij2.gradientY(source, destination);
% show result
destination = clij2.pullMat(destination)

% cleanup memory on GPU
clij2.release(source);
clij2.release(destination);
Icy JavaScript
// init CLIJ and GPU
importClass(net.haesleinhuepf.clicy.CLICY);
importClass(Packages.icy.main.Icy);

clij2 = CLICY.getInstance();

// get input parameters
source_sequence = getSequence();
source = clij2.pushSequence(source_sequence);
destination = clij2.create(source);
// Execute operation on GPU
clij2.gradientY(source, destination);
// show result
destination_sequence = clij2.pullSequence(destination)
Icy.addSequence(destination_sequence);
// cleanup memory on GPU
clij2.release(source);
clij2.release(destination);

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