GPU accelerated image processing for everyone
Determines the maximum intensity projection of an image along X.
Category: Projections
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_maximumXProjection(Image source, Image destination_max);
// 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); destination_max = clij2.create(source);
// Execute operation on GPU clij2.maximumXProjection(source, destination_max);
// show result destination_maxImagePlus = clij2.pull(destination_max); destination_maxImagePlus.show(); // cleanup memory on GPU clij2.release(source); clij2.release(destination_max);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters source = clij2.pushMat(source_matrix); destination_max = clij2.create(source);
% Execute operation on GPU clij2.maximumXProjection(source, destination_max);
% show result destination_max = clij2.pullMat(destination_max) % cleanup memory on GPU clij2.release(source); clij2.release(destination_max);
// 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); destination_max = clij2.create(source);
// Execute operation on GPU clij2.maximumXProjection(source, destination_max);
// show result destination_max_sequence = clij2.pullSequence(destination_max) Icy.addSequence(destination_max_sequence); // cleanup memory on GPU clij2.release(source); clij2.release(destination_max);
import pyclesperanto_prototype as cle cle.maximum_x_projection(source, destination_max)
image_segmentation_3d
maximumProjection
Segmentation_3D.ipynb
intensity_projections.ipynb
image_segmentation_3d.ijm
jaccard_matrix.ijm
maximumProjection.ijm
orthogonalMaximumProjections.ijm