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imageJGaussianBlur

Apply ImageJs Gaussian Blur to an image.

In case of processing a 2D image, only signa_x is used.

Note: This operation runs on the CPU.

Category: Filter

Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-imagej_-0.4.1.0.jar.

Usage in ImageJ macro

Ext.CLIJx_imageJGaussianBlur(Image input, Image destination, Number sigma_x, Number sigma_y, Number sigma_z);

Usage in object oriented programming languages

Java
// 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 sigma_x = 1.0;
float sigma_y = 2.0;
float sigma_z = 3.0;
// Execute operation on GPU
clijx.imageJGaussianBlur(input, destination, sigma_x, sigma_y, sigma_z);
// show result
destinationImagePlus = clijx.pull(destination);
destinationImagePlus.show();

// cleanup memory on GPU
clijx.release(input);
clijx.release(destination);
Matlab
% init CLIJ and GPU
clijx = init_clatlabx();

% get input parameters
input = clijx.pushMat(input_matrix);
destination = clijx.create(input);
sigma_x = 1.0;
sigma_y = 2.0;
sigma_z = 3.0;
% Execute operation on GPU
clijx.imageJGaussianBlur(input, destination, sigma_x, sigma_y, sigma_z);
% show result
destination = clijx.pullMat(destination)

% cleanup memory on GPU
clijx.release(input);
clijx.release(destination);

License terms

Public domain

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