Module: segmentation
skimage.segmentation.active_contour(image, snake) | Active contour model. |
skimage.segmentation.clear_border(labels[, ...]) | Clear objects connected to the label image border. |
skimage.segmentation.felzenszwalb(image[, ...]) | Computes Felsenszwalb’s efficient graph based image segmentation. |
skimage.segmentation.find_boundaries(label_img) | Return bool array where boundaries between labeled regions are True. |
skimage.segmentation.join_segmentations(s1, s2) | Return the join of the two input segmentations. |
skimage.segmentation.mark_boundaries(image, ...) | Return image with boundaries between labeled regions highlighted. |
skimage.segmentation.quickshift | Segments image using quickshift clustering in Color-(x,y) space. |
skimage.segmentation.random_walker(data, labels) | Random walker algorithm for segmentation from markers. |
skimage.segmentation.relabel_from_one(*args, ...) |
Deprecated function. Use relabel_sequential instead. |
skimage.segmentation.relabel_sequential(...) | Relabel arbitrary labels to {offset, ... |
skimage.segmentation.slic(image[, ...]) | Segments image using k-means clustering in Color-(x,y,z) space. |
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