GPU accelerated image processing for everyone
Takes a label image and an parametric image and reads parametric values from the labels positions.
The read intensity valus are stored in a new vector.
Note: This will only work if all labels have number of voxels == 1 or if all pixels in each label have the same value.
labels map_image values_destination
Categories: Labels, Measurements, Graphs
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_readValuesFromMap(Image labels, Image map_image, Image values_destination);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer labels = clij2.push(labelsImagePlus); ClearCLBuffer map_image = clij2.push(map_imageImagePlus); values_destination = clij2.create(labels);
// Execute operation on GPU clij2.readValuesFromMap(labels, map_image, values_destination);
// show result values_destinationImagePlus = clij2.pull(values_destination); values_destinationImagePlus.show(); // cleanup memory on GPU clij2.release(labels); clij2.release(map_image); clij2.release(values_destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters labels = clij2.pushMat(labels_matrix); map_image = clij2.pushMat(map_image_matrix); values_destination = clij2.create(labels);
% Execute operation on GPU clij2.readValuesFromMap(labels, map_image, values_destination);
% show result values_destination = clij2.pullMat(values_destination) % cleanup memory on GPU clij2.release(labels); clij2.release(map_image); clij2.release(values_destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters labels_sequence = getSequence(); labels = clij2.pushSequence(labels_sequence); map_image_sequence = getSequence(); map_image = clij2.pushSequence(map_image_sequence); values_destination = clij2.create(labels);
// Execute operation on GPU clij2.readValuesFromMap(labels, map_image, values_destination);
// show result values_destination_sequence = clij2.pullSequence(values_destination) Icy.addSequence(values_destination_sequence); // cleanup memory on GPU clij2.release(labels); clij2.release(map_image); clij2.release(values_destination);