CLIJ2

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divideByGaussianBackground

Applies Gaussian blur to the input image and divides the original by the result.

Categories: Background, Filter

Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.30.1.21.jar.

Usage in ImageJ macro

Ext.CLIJx_divideByGaussianBackground(Image input, Image destination, Number sigmaX, Number sigmaY, Number sigmaZ);

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 sigmaX = 1.0;
float sigmaY = 2.0;
float sigmaZ = 3.0;
// Execute operation on GPU
clijx.divideByGaussianBackground(input, destination, sigmaX, sigmaY, sigmaZ);
// 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);
sigmaX = 1.0;
sigmaY = 2.0;
sigmaZ = 3.0;
% Execute operation on GPU
clijx.divideByGaussianBackground(input, destination, sigmaX, sigmaY, sigmaZ);
% show result
destination = clijx.pullMat(destination)

% cleanup memory on GPU
clijx.release(input);
clijx.release(destination);
clEsperanto Python (experimental)
import pyclesperanto_prototype as cle

cle.divide_by_gaussian_background(input, destination, sigmaX, sigmaY, sigmaZ)

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