CLIJ2

Logo

GPU accelerated image processing for everyone

CLIJ2 home

voronoiLabeling

Takes a binary image, labels connected components and dilates the regions using a octagon shape until they touch.

The resulting label map is written to the output.

Categories: Filter, Labels, Binary

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

voronoiLabeling often follows after

voronoiLabeling is often followed by

Usage in ImageJ macro

Ext.CLIJ2_voronoiLabeling(Image input, Image destination);

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 input = clij2.push(inputImagePlus);
destination = clij2.create(input);
// Execute operation on GPU
clij2.voronoiLabeling(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.voronoiLabeling(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.voronoiLabeling(input, destination);
// show result
destination_sequence = clij2.pullSequence(destination)
Icy.addSequence(destination_sequence);
// cleanup memory on GPU
clij2.release(input);
clij2.release(destination);
clEsperanto Python (experimental)
import pyclesperanto_prototype as cle

cle.voronoi_labeling(input, destination)

Example notebooks

count_neighbors
image_types
labelmap_voronoi
spots_pointlists_matrices_tables.ipynb
voronoi_diagrams.ipynb
quantitative_neighbor_maps.ipynb
segmentation_2d_membranes.ipynb

Example scripts

count_neighbors.ijm
image_types.ijm
labelmap_voronoi.ijm

Back to CLIJ2 reference Back to CLIJ2 documentation

Imprint