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 clijx_-0.30.1.21.jar.
Ext.CLIJx_readValuesFromMap(Image labels, Image map_image, Image values_destination);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer labels = clijx.push(labelsImagePlus); ClearCLBuffer map_image = clijx.push(map_imageImagePlus); values_destination = clijx.create(labels);
// Execute operation on GPU clijx.readValuesFromMap(labels, map_image, values_destination);
// show result values_destinationImagePlus = clijx.pull(values_destination); values_destinationImagePlus.show(); // cleanup memory on GPU clijx.release(labels); clijx.release(map_image); clijx.release(values_destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters labels = clijx.pushMat(labels_matrix); map_image = clijx.pushMat(map_image_matrix); values_destination = clijx.create(labels);
% Execute operation on GPU clijx.readValuesFromMap(labels, map_image, values_destination);
% show result values_destination = clijx.pullMat(values_destination) % cleanup memory on GPU clijx.release(labels); clijx.release(map_image); clijx.release(values_destination);