GPU accelerated image processing for everyone
Applies a minimum filter with kernel size 3x3 n times to an image iteratively.
Odd iterations are done with box neighborhood, even iterations with a diamond. Thus, with n > 2, the filter shape is an octagon. The given number of iterations - 2 makes the filter result very similar to minimum sphere.
Categories: Background, Filter
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_topHatOctagonSliceBySlice(Image input, Image destination, Number iterations);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer input = clijx.push(inputImagePlus); destination = clijx.create(input); int iterations = 10;
// Execute operation on GPU clijx.topHatOctagonSliceBySlice(input, destination, iterations);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(input); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters input = clijx.pushMat(input_matrix); destination = clijx.create(input); iterations = 10;
% Execute operation on GPU clijx.topHatOctagonSliceBySlice(input, destination, iterations);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(destination);