GPU accelerated image processing for everyone
Applies a Difference-of-Gaussian filter to an image and thresholds it with given sigma and threshold values.
Categories: Segmentation, Binary
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_thresholdDoG(Image input, Image destination, Number sigma1, Number sigma2, Number threshold, Boolean above_threshold);
// 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); float sigma1 = 1.0; float sigma2 = 2.0; float threshold = 3.0; boolean above_threshold = true;
// Execute operation on GPU clijx.thresholdDoG(input, destination, sigma1, sigma2, threshold, above_threshold);
// 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); sigma1 = 1.0; sigma2 = 2.0; threshold = 3.0; above_threshold = true;
% Execute operation on GPU clijx.thresholdDoG(input, destination, sigma1, sigma2, threshold, above_threshold);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(destination);