GPU accelerated image processing for everyone
Starting from a label map, draw lines between touching neighbors resulting in a mesh.
The end points of the lines correspond to the centroids of the labels. The intensity of the lines corresponds to the distance between these labels (in pixels or voxels).
Categories: Graphs, Labels, Measurements
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clijx_-0.30.1.22.jar.
Ext.CLIJx_drawDistanceMeshBetweenTouchingLabels(Image input, Image destination);
// init CLIJ and GPU import net.haesleinhuepf.clijx.CLIJx; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJx clijx = CLIJx.getInstance(); // get input parameters ClearCLBuffer input = clijx.push(inputImagePlus); destination = clijx.create(input);
// Execute operation on GPU clijx.drawDistanceMeshBetweenTouchingLabels(input, destination);
// show result destinationImagePlus = clijx.pull(destination); destinationImagePlus.show(); // cleanup memory on GPU clijx.release(input); clijx.release(destination);
% init CLIJ and GPU clijx = init_clatlabx(); % get input parameters input = clijx.pushMat(input_matrix); destination = clijx.create(input);
% Execute operation on GPU clijx.drawDistanceMeshBetweenTouchingLabels(input, destination);
% show result destination = clijx.pullMat(destination) % cleanup memory on GPU clijx.release(input); clijx.release(destination);
import pyclesperanto_prototype as cle cle.draw_distance_mesh_between_touching_labels(input, destination)
mesh_with_distances.ipynb
shape_descriptors_based_on_neighborhood_graphs.ipynb