GPU accelerated image processing for everyone
Applies a local minimum and maximum filter.
Afterwards, the value is returned which is more far from zero.
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_localExtremaBox(Image input, Image destination, Number radiusX, Number radiusY, Number radiusZ);
// 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 radiusX = 10; int radiusY = 20; int radiusZ = 30;
// Execute operation on GPU clijx.localExtremaBox(input, destination, radiusX, radiusY, radiusZ);
// 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); radiusX = 10; radiusY = 20; radiusZ = 30;
% Execute operation on GPU clijx.localExtremaBox(input, destination, radiusX, radiusY, radiusZ);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(destination);