Computes the Gaussian blurred image of an image given two sigma values in X, Y and Z.
Thus, the filterkernel can have non-isotropic shape.
The implementation is done separable. In case a sigma equals zero, the direction is not blurred.
DEPRECATED: This method is deprecated. Use gaussianBlur3D instead.
Categories: Noise, Filter
Ext.CLIJ2_blur3D(Image source, Image destination, Number sigma_x, Number sigma_y, Number sigma_z);
Java
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance();// get input parameters ClearCLBuffer source = clij2.push(sourceImagePlus); destination = clij2.create(source); float sigma_x = 1.0; float sigma_y = 2.0; float sigma_z = 3.0;
// Execute operation on GPU clij2.blur3D(source, destination, sigma_x, sigma_y, sigma_z);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(source); clij2.release(destination);
Matlab
% init CLIJ and GPU clij2 = init_clatlab();% get input parameters source = clij2.pushMat(source_matrix); destination = clij2.create(source); sigma_x = 1.0; sigma_y = 2.0; sigma_z = 3.0;
% Execute operation on GPU clij2.blur3D(source, destination, sigma_x, sigma_y, sigma_z);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(source); clij2.release(destination);
Icy JavaScript
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy);clij2 = CLICY.getInstance();
// get input parameters source_sequence = getSequence(); source = clij2.pushSequence(source_sequence); destination = clij2.create(source); sigma_x = 1.0; sigma_y = 2.0; sigma_z = 3.0;
// Execute operation on GPU clij2.blur3D(source, destination, sigma_x, sigma_y, sigma_z);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(source); clij2.release(destination);