By Robert Haase based on work by G. Landini and W. Rasband
The automatic thresholder utilizes the Default threshold method implemented in ImageJ using a histogram determined on the GPU to create binary images as similar as possible to ImageJ 'Apply Threshold' method.
Categories: Segmentation, Binary
- gaussianBlur3D (2)
- binaryNot (2)
Ext.CLIJ2_thresholdDefault(Image input, Image destination);
Java
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance();// get input parameters ClearCLBuffer input = clij2.push(inputImagePlus); destination = clij2.create(input);
// Execute operation on GPU clij2.thresholdDefault(input, destination);
// show result destinationImagePlus = clij2.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clij2.release(input); clij2.release(destination);
Matlab
% init CLIJ and GPU clij2 = init_clatlab();% get input parameters input = clij2.pushMat(input_matrix); destination = clij2.create(input);
% Execute operation on GPU clij2.thresholdDefault(input, destination);
% show result destination = clij2.pullMat(destination) % cleanup memory on GPU clij2.release(input); 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 input_sequence = getSequence(); input = clij2.pushSequence(input_sequence); destination = clij2.create(input);
// Execute operation on GPU clij2.thresholdDefault(input, destination);
// show result destination_sequence = clij2.pullSequence(destination) Icy.addSequence(destination_sequence); // cleanup memory on GPU clij2.release(input); clij2.release(destination);
The code for the automatic thresholding methods originates from https://github.com/imagej/imagej1/blob/master/ij/process/AutoThresholder.java
Detailed documentation on the implemented methods can be found online: https://imagej.net/Auto_Threshold