GPU accelerated image processing for everyone
Converts a three channel image (stack with three slices) to a single channel image (2D image) by multiplying with factors 0.299, 0.587, 0.114.
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.32.0.1.jar.
Ext.CLIJx_convertRGBStackToGraySlice(Image stack_source, Image slice_destination);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer stack_source = clijx.push(stack_sourceImagePlus); slice_destination = clijx.create(stack_source);
// Execute operation on GPU clijx.convertRGBStackToGraySlice(stack_source, slice_destination);
// show result slice_destinationImagePlus = clijx.pull(slice_destination); slice_destinationImagePlus.show(); // cleanup memory on GPU clijx.release(stack_source); clijx.release(slice_destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters stack_source = clijx.pushMat(stack_source_matrix); slice_destination = clijx.create(stack_source);
% Execute operation on GPU clijx.convertRGBStackToGraySlice(stack_source, slice_destination);
% show result slice_destination = clijx.pullMat(slice_destination) % cleanup memory on GPU clijx.release(stack_source); clijx.release(slice_destination);