GPU accelerated image processing for everyone
Computes the local minimum of a pixels cube neighborhood.
The cubes size is specified by its half-width, half-height and half-depth (radius).
Category: Filter
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_minimum3DBox(Image source, Image destination, Number radius_x, Number radius_y, Number radius_z);
// 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); int radius_x = 10; int radius_y = 20; int radius_z = 30;
// Execute operation on GPU clij2.minimum3DBox(source, destination, radius_x, radius_y, radius_z);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters source = clij2.pushMat(source_matrix); destination = clij2.create(source); radius_x = 10; radius_y = 20; radius_z = 30;
% Execute operation on GPU clij2.minimum3DBox(source, destination, radius_x, radius_y, radius_z);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(source); clij2.release(destination);
// 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); radius_x = 10; radius_y = 20; radius_z = 30;
// Execute operation on GPU clij2.minimum3DBox(source, destination, radius_x, radius_y, radius_z);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
import pyclesperanto_prototype as cle cle.minimum_box(source, destination, radius_x, radius_y, radius_z)
segmentation_2d_membranes.ipynb