GPU accelerated image processing for everyone
Performs connected components analysis inspecting the box neighborhood of every pixel to a binary image and generates a label map.
Category: Labels
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_connectedComponentsLabelingBox(Image binary_input, Image labeling_destination);
// init CLIJ and GPU import net.haesleinhuepf.clij2.CLIJ2; import net.haesleinhuepf.clij.clearcl.ClearCLBuffer; CLIJ2 clij2 = CLIJ2.getInstance(); // get input parameters ClearCLBuffer binary_input = clij2.push(binary_inputImagePlus); labeling_destination = clij2.create(binary_input);
// Execute operation on GPU clij2.connectedComponentsLabelingBox(binary_input, labeling_destination);
// show result labeling_destinationImagePlus = clij2.pull(labeling_destination); labeling_destinationImagePlus.show(); // cleanup memory on GPU clij2.release(binary_input); clij2.release(labeling_destination);
% init CLIJ and GPU clij2 = init_clatlab(); % get input parameters binary_input = clij2.pushMat(binary_input_matrix); labeling_destination = clij2.create(binary_input);
% Execute operation on GPU clij2.connectedComponentsLabelingBox(binary_input, labeling_destination);
% show result labeling_destination = clij2.pullMat(labeling_destination) % cleanup memory on GPU clij2.release(binary_input); clij2.release(labeling_destination);
// init CLIJ and GPU importClass(net.haesleinhuepf.clicy.CLICY); importClass(Packages.icy.main.Icy); clij2 = CLICY.getInstance(); // get input parameters binary_input_sequence = getSequence(); binary_input = clij2.pushSequence(binary_input_sequence); labeling_destination = clij2.create(binary_input);
// Execute operation on GPU clij2.connectedComponentsLabelingBox(binary_input, labeling_destination);
// show result labeling_destination_sequence = clij2.pullSequence(labeling_destination) Icy.addSequence(labeling_destination_sequence); // cleanup memory on GPU clij2.release(binary_input); clij2.release(labeling_destination);
import pyclesperanto_prototype as cle cle.connected_components_labeling_box(binary_input, labeling_destination)
count_overlap_between_channels
custom_clij_macro_functions
image_types
labeling
labelmap_voronoi
mean_of_touching_neighbors
outlines_numbers_overlay
working_with_rois
count_blobs.ipynb
spots_pointlists_matrices_tables.ipynb
napari_dask.ipynb
bead_segmentation.ipynb
parametric_maps.ipynb
tribolium_morphometry.ipynb
connected_component_labeling.ipynb
count_overlap_between_channels.ijm
custom_clij_macro_functions.ijm
division_visualisation.ijm
image_types.ijm
jaccard_matrix.ijm
labeling.ijm
labelmap_voronoi.ijm
mean_of_touching_neighbors.ijm
outlines_numbers_overlay.ijm
working_with_rois.ijm
count_blobs.py
napari_.py
napari_magicgui.py
tribolium.py