reference_multiplyImages.md

multiplyImages

Multiplies all pairs of pixel values x and y from two image X and Y.

f(x, y) = x * y

Category: Math

multiplyImages often follows after

• pushResultsTableColumn (3)
• invert (2)
• generateTouchMatrix (2)
• equalConstant (2)
• generateDistanceMatrix (2)
• create2D (2)

multiplyImages is often followed by

• equal (2)
• notEqualConstant (2)
• print (4)
• replaceIntensity (2)
• greaterOrEqualConstant (2)
• touchMatrixToMesh (3)

Usage in ImageJ macro

Ext.CLIJ2_multiplyImages(Image factor1, Image factor2, 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 factor1 = clij2.push(factor1ImagePlus);
ClearCLBuffer factor2 = clij2.push(factor2ImagePlus);
destination = clij2.create(factor1);

// Execute operation on GPU
clij2.multiplyImages(factor1, factor2, destination);

// show result
destinationImagePlus = clij2.pull(destination);
destinationImagePlus.show();

// cleanup memory on GPU
clij2.release(factor1);
clij2.release(factor2);
clij2.release(destination);

Matlab

% init CLIJ and GPU
clij2 = init_clatlab();
% get input parameters
factor1 = clij2.pushMat(factor1_matrix);
factor2 = clij2.pushMat(factor2_matrix);
destination = clij2.create(factor1);

% Execute operation on GPU
clij2.multiplyImages(factor1, factor2, destination);

% show result
destination = clij2.pullMat(destination)

% cleanup memory on GPU
clij2.release(factor1);
clij2.release(factor2);
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
factor1_sequence = getSequence();
factor1 = clij2.pushSequence(factor1_sequence);
factor2_sequence = getSequence();
factor2 = clij2.pushSequence(factor2_sequence);
destination = clij2.create(factor1);

// Execute operation on GPU
clij2.multiplyImages(factor1, factor2, destination);

// show result
destination_sequence = clij2.pullSequence(destination)
Icy.addSequence(destination_sequence);
// cleanup memory on GPU
clij2.release(factor1);
clij2.release(factor2);
clij2.release(destination);

clEsperanto Python (experimental)

import pyclesperanto_prototype as cle
cle.multiply_images(clij, factor1, factor2, destination)

Example notebooks

matrix_multiply
multiply_vectors_matrices
tribolium_morphometry

Example scripts

filter_label_maps.ijm
matrix_multiply.ijm
multiply_vectors_matrices.ijm
tribolium_morphometry.ijm
multiply_images_test.py

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