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simpleITKOtsuMultipleThresholds

By Robert Haase, based on work by Bradley Lowekamp and the SimpleITK and ITK teams

Apply SimpleITKs Otsu Multiple Thresholds to an image.

See also: https://simpleitk.org/doxygen/latest/html/classitk_1_1simple_1_1OtsuMultipleThresholdsImageFilter.html

Category: Segmentation

Availability: Available in Fiji by activating the update sites clij, clij2 and clijx-assistant-extensions. This function is part of clijx-assistant-simpleitk_-0.4.2.16.jar.

Usage in ImageJ macro

Ext.CLIJx_simpleITKOtsuMultipleThresholds(Image input, Image destination, Number number_of_thresholds);

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 number_of_thresholds = 1.0;
// Execute operation on GPU
clijx.simpleITKOtsuMultipleThresholds(input, destination, number_of_thresholds);
// 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);
number_of_thresholds = 1.0;
% Execute operation on GPU
clijx.simpleITKOtsuMultipleThresholds(input, destination, number_of_thresholds);
% show result
destination = clijx.pullMat(destination)

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

License terms

This plugin is licensed BSD3, see:
https://github.com/clij/clijx-assistant-simpleitk/blob/master/license.txt
The underlying SimpleITK librariy is Apache 2 licensed:
https://github.com/SimpleITK/SimpleITK/blob/master/LICENSE

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