GPU accelerated image processing for everyone
Divides a scalar s by image X pixel wise.
f(s, x) = s / x
Category: Math
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.
Ext.CLIJ2_divideScalarByImage(Image image, Image destination, Number scalar);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer image = clij2.push(imageImagePlus); destination = clij2.create(image); float scalar = 1.0;
// Execute operation on GPU clij2.divideScalarByImage(image, destination, scalar);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(image); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters image = clij2.pushMat(image_matrix); destination = clij2.create(image); scalar = 1.0;
% Execute operation on GPU clij2.divideScalarByImage(image, destination, scalar);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(image); clij2.release(destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters image_sequence = getSequence(); image = clij2.pushSequence(image_sequence); destination = clij2.create(image); scalar = 1.0;
// Execute operation on GPU clij2.divideScalarByImage(image, destination, scalar);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(image); clij2.release(destination);