GPU accelerated image processing for everyone
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
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.
Ext.CLIJ2_setRandom(Image source, Number minimumValue, Number maximumValue, Number seed);
// 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);
% 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);
// 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);
filtering_in_graphs
matrix_multiply
neighbors_of_neighbors
check_if_positions_are_in_roi.ijm
filtering_in_graphs.ijm
large_matrices.ijm
matrix_multiply.ijm
neighbors_of_neighbors.ijm
tubeness.ijm