GPU accelerated image processing for everyone
Applies a top-hat filter for background subtraction to the input image.
input : Image The input image where the background is subtracted from. destination : Image The output image where results are written into. radius_x : Image Radius of the background determination region in X. radius_y : Image Radius of the background determination region in Y. radius_z : Image Radius of the background determination region in Z.
Categories: Filter, Background
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_topHatBox(Image input, Image destination, Number radiusX, Number radiusY, Number radiusZ);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer input = clij2.push(inputImagePlus); destination = clij2.create(input); int radiusX = 10; int radiusY = 20; int radiusZ = 30;
// Execute operation on GPU clij2.topHatBox(input, destination, radiusX, radiusY, radiusZ);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(input); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters input = clij2.pushMat(input_matrix); destination = clij2.create(input); radiusX = 10; radiusY = 20; radiusZ = 30;
% Execute operation on GPU clij2.topHatBox(input, destination, radiusX, radiusY, radiusZ);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(input); clij2.release(destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters input_sequence = getSequence(); input = clij2.pushSequence(input_sequence); destination = clij2.create(input); radiusX = 10; radiusY = 20; radiusZ = 30;
// Execute operation on GPU clij2.topHatBox(input, destination, radiusX, radiusY, radiusZ);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(input); clij2.release(destination);
import pyclesperanto_prototype as cle cle.top_hat_box(input, destination, radius_x, radius_y, radius_z)
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image_segmentation_3d.ijm
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