CLIJ2

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GPU accelerated image processing for everyone

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setRandom

Fills an image or image stack with uniformly distributed random numbers between given minimum and maximum values.

Recommendation: For the seed, use getTime().

Category: Math

Usage in ImageJ macro

Ext.CLIJ2_setRandom(Image source, Number minimumValue, Number maximumValue, Number seed);

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);
float minimumValue = 1.0;
float maximumValue = 2.0;
float seed = 3.0;
// Execute operation on GPU
clij2.setRandom(source, minimumValue, maximumValue, seed);
// show result

// cleanup memory on GPU
clij2.release(source);
Matlab
% init CLIJ and GPU
clij2 = init_clatlab();

% get input parameters
source = clij2.pushMat(source_matrix);
minimumValue = 1.0;
maximumValue = 2.0;
seed = 3.0;
% Execute operation on GPU
clij2.setRandom(source, minimumValue, maximumValue, seed);
% show result

% cleanup memory on GPU
clij2.release(source);
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);
minimumValue = 1.0;
maximumValue = 2.0;
seed = 3.0;
// Execute operation on GPU
clij2.setRandom(source, minimumValue, maximumValue, seed);
// show result

// cleanup memory on GPU
clij2.release(source);

Example notebooks

filtering_in_graphs
matrix_multiply
neighbors_of_neighbors

Example scripts

filtering_in_graphs.ijm
large_matrices.ijm
matrix_multiply.ijm
neighbors_of_neighbors.ijm

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