CLIJ2
GPU accelerated image processing for everyone
connectedComponentsLabeling
Performs connected components analysis to a binary image and generates a label map.
DEPRECATED: This method is deprecated. Use ConnectedComponentsLabellingBox (or Diamond) instead.
Availability: Available in Fiji by activating the update sites clij and clij2. This function is part of clij2_-2.5.0.1.jar.
connectedComponentsLabeling often follows after
- automaticThreshold (5)
- thresholdOtsu (2)
- detectMaximaBox (1)
connectedComponentsLabeling is often followed by
- centroidsOfLabels (1)
- labelledSpotsToPointList (1)
- maskLabel (1)
- getMaximumOfAllPixels (2)
- statisticsOfLabelledPixels (1)
Usage in ImageJ macro
Ext.CLIJ2_connectedComponentsLabeling(Image binary_input, Image labeling_destination);
Example notebooks
count_overlap_between_channels
custom_clij_macro_functions
image_types
labeling
labelmap_voronoi
mean_of_touching_neighbors
measure_statistics
outlines_numbers_overlay
tables
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
Example scripts
boundingBoxes.ijm
center_of_mass.ijm
count_overlap_between_channels.ijm
custom_clij_macro_functions.ijm
division_visualisation.ijm
excludeLabelsOnEdges.ijm
excludeLabelsWithinRange.ijm
image_types.ijm
intensity_per_label.ijm
jaccard_matrix.ijm
labeling.ijm
labelmap_voronoi.ijm
mean_of_touching_neighbors.ijm
measure_statistics.ijm
meshTouchingNeighbors.ijm
outlines_numbers_overlay.ijm
particle_analysis.ijm
rotating_sphere.ijm
tables.ijm
working_with_rois.ijm
mesh_close_points.m
segmentation.py
count_blobs.py
napari_.py
napari_magicgui.py
tribolium.py