generateParametricImage

Take a labelmap and a vector of values to replace label 1 with the 1st value in the vector.

Note that indexing in the vector starts at zero. The 0th entry corresponds to background in the label map.Internally this method just calls ReplaceIntensities.

Categories: Measurements, Visualisation, Labels

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

Usage in ImageJ macro

Ext.CLIJ2_generateParametricImage(Image label_map, Image parameter_value_vector, Image parametric_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 label_map = clij2.push(label_mapImagePlus);
ClearCLBuffer parameter_value_vector = clij2.push(parameter_value_vectorImagePlus);
parametric_image_destination = clij2.create(label_map);

// Execute operation on GPU
clij2.generateParametricImage(label_map, parameter_value_vector, parametric_image_destination);

// show result
parametric_image_destinationImagePlus = clij2.pull(parametric_image_destination);
parametric_image_destinationImagePlus.show();

// cleanup memory on GPU
clij2.release(label_map);
clij2.release(parameter_value_vector);
clij2.release(parametric_image_destination);

Matlab

% init CLIJ and GPU
clij2 = init_clatlab();

% get input parameters
label_map = clij2.pushMat(label_map_matrix);
parameter_value_vector = clij2.pushMat(parameter_value_vector_matrix);
parametric_image_destination = clij2.create(label_map);

% Execute operation on GPU
clij2.generateParametricImage(label_map, parameter_value_vector, parametric_image_destination);

% show result
parametric_image_destination = clij2.pullMat(parametric_image_destination)

% cleanup memory on GPU
clij2.release(label_map);
clij2.release(parameter_value_vector);
clij2.release(parametric_image_destination);

Icy JavaScript

// init CLIJ and GPU
importClass(net.haesleinhuepf.clicy.CLICY);
importClass(Packages.icy.main.Icy);

clij2 = CLICY.getInstance();

// get input parameters
label_map_sequence = getSequence();
label_map = clij2.pushSequence(label_map_sequence);
parameter_value_vector_sequence = getSequence();
parameter_value_vector = clij2.pushSequence(parameter_value_vector_sequence);
parametric_image_destination = clij2.create(label_map);

// Execute operation on GPU
clij2.generateParametricImage(label_map, parameter_value_vector, parametric_image_destination);

// show result
parametric_image_destination_sequence = clij2.pullSequence(parametric_image_destination)
Icy.addSequence(parametric_image_destination_sequence);
// cleanup memory on GPU
clij2.release(label_map);
clij2.release(parameter_value_vector);
clij2.release(parametric_image_destination);

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