CLIJ2

Logo

GPU accelerated image processing for everyone

CLIJ2 home

threshold

Computes a binary image with pixel values 0 and 1.

All pixel values x of a given input image with value larger or equal to a given threshold t will be set to 1.

f(x,t) = (1 if (x >= t); (0 otherwise))

This plugin is comparable to setting a raw threshold in ImageJ and using the ‘Convert to Mask’ menu.

Categories: Segmentation, Binary

Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.

threshold often follows after

threshold is often followed by

Usage in ImageJ macro

Ext.CLIJ2_threshold(Image source, Image destination, Number threshold);

Usage in object oriented programming languages

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 threshold = 1.0;
// Execute operation on GPU
clij2.threshold(source, destination, threshold);
// 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);
threshold = 1.0;
% Execute operation on GPU
clij2.threshold(source, destination, threshold);
% 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);
threshold = 1.0;
// Execute operation on GPU
clij2.threshold(source, destination, threshold);
// show result
destination_sequence = clij2.pullSequence(destination)
Icy.addSequence(destination_sequence);
// cleanup memory on GPU
clij2.release(source);
clij2.release(destination);

Example notebooks

basic_image_processing
binary_processing
count_overlap_between_channels
custom_clij_macro_functions
image_types
labelmap_voronoi
mean_of_touching_neighbors
measure_statistics
morpholibj_classic_watershed
outlines_numbers_overlay
tables
tribolium_morphometry
voronoi
voronoi_otsu_labeling
working_with_rois
count_blobs.ipynb
quantitative_neighbor_maps.ipynb
segmentation_2d_membranes.ipynb
voronoi_otsu_labeling.ipynb
parametric_maps.ipynb
threshold_otsu.ipynb

Example scripts

autoThreshold.ijm
basic_image_processing.ijm
benchmarkVoronoi.ijm
binary_processing.ijm
count_overlap_between_channels.ijm
create_object_outlines.ijm
custom_clij_macro_functions.ijm
distanceMap.ijm
distance_map.ijm
division_visualisation.ijm
getBoundingBox.ijm
image_types.ijm
jaccard_matrix.ijm
labelmap_voronoi.ijm
mean_of_touching_neighbors.ijm
measure_statistics.ijm
morpholibj_classic_watershed.ijm
motionCorrection.ijm
motionCorrection_compare_stackreg.ijm
outlines_numbers_overlay.ijm
tables.ijm
thresholding.ijm
tribolium_morphometry.ijm
voronoi.ijm
voronoi_otsu_labeling.ijm
working_with_rois.ijm
simplePipeline.m
automaticThreshold.js
automaticThreshold.groovy
automaticThreshold.bsh
binaryProcessing.py
count_blobs.py
napari_.py
napari_magicgui.py

Back to CLIJ2 reference Back to CLIJ2 documentation

Imprint