skimage2.segmentation

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Algorithms to partition images into meaningful regions or boundaries.

active_contour	Active contour model.
chan_vese	Chan-Vese segmentation algorithm.
checkerboard_level_set	Create a checkerboard level set with binary values.
clear_border	Clear objects connected to the label image border.
disk_level_set	Create a disk level set with binary values.
expand_labels	Expand labels in label image by distance pixels without overlapping.
felzenszwalb	Computes Felsenszwalb's efficient graph based image segmentation.
find_boundaries	Return bool array where boundaries between labeled regions are True.
flood	Mask corresponding to a flood fill.
flood_fill	Perform flood filling on an image.
inverse_gaussian_gradient	Inverse of gradient magnitude.
join_segmentations	Return the join of the two input segmentations.
mark_boundaries	Return image with boundaries between labeled regions highlighted.
morphological_chan_vese	Morphological Active Contours without Edges (MorphACWE)
morphological_geodesic_active_contour	Morphological Geodesic Active Contours (MorphGAC).
quickshift	Segment image using quickshift clustering in Color-(x,y) space.
random_walker	Random walker algorithm for segmentation from markers.
relabel_sequential	Relabel arbitrary labels to {offset, .
slic	Segments image using k-means clustering in Color-(x,y,z) space.
watershed	Find watershed basins in an image flooded from given markers.