GPU accelerated image processing for everyone
Sets all pixel values at the image border to a given value.
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_setImageBorders(Image destination, Number value);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters destination = clij2.create(); float value = 1.0;
// Execute operation on GPU clij2.setImageBorders(destination, value);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters destination = clij2.create(); value = 1.0;
% Execute operation on GPU clij2.setImageBorders(destination, value);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters destination = clij2.create(); value = 1.0;
// Execute operation on GPU clij2.setImageBorders(destination, value);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(destination);
import pyclesperanto_prototype as cle cle.set_image_borders(destination, value)