GPU accelerated image processing for everyone
Determines the minimum intensity in a masked image.
But only in pixels which have non-zero values in another mask image.
Categories: Binary, Measurements
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_minimumOfMaskedPixels(Image source, Image mask);
// 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); ClearCLBuffer mask = clij2.push(maskImagePlus);
// Execute operation on GPU double resultMinimumOfMaskedPixels = clij2.minimumOfMaskedPixels(source, mask);
// show result System.out.println(resultMinimumOfMaskedPixels); // cleanup memory on GPU clij2.release(source); clij2.release(mask);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters source = clij2.pushMat(source_matrix); mask = clij2.pushMat(mask_matrix);
% Execute operation on GPU double resultMinimumOfMaskedPixels = clij2.minimumOfMaskedPixels(source, mask);
% show result System.out.println(resultMinimumOfMaskedPixels); % cleanup memory on GPU clij2.release(source); clij2.release(mask);
// 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); mask_sequence = getSequence(); mask = clij2.pushSequence(mask_sequence);
// Execute operation on GPU double resultMinimumOfMaskedPixels = clij2.minimumOfMaskedPixels(source, mask);
// show result System.out.println(resultMinimumOfMaskedPixels); // cleanup memory on GPU clij2.release(source); clij2.release(mask);
import pyclesperanto_prototype as cle cle.minimum_of_masked_pixels(source, mask)