slic skimage.segmentation.slic(image, n_segments=100, compactness=10.0, max_iter=10, sigma=0, spacing=None, multichannel=True, convert2lab=None

felzenszwalb skimage.segmentation.felzenszwalb(image, scale=1, sigma=0.8, min_size=20)

join_segmentations skimage.segmentation.join_segmentations(s1, s2)

random_walker skimage.segmentation.random_walker(data, labels, beta=130, mode='bf', tol=0.001, copy=True, multichannel=False

mark_boundaries skimage.segmentation.mark_boundaries(image, label_img, color=(1, 1, 0), outline_color=None, mode='outer'

relabel_from_one skimage.segmentation.relabel_from_one(*args, **kwargs)

active_contour skimage.segmentation.active_contour(image, snake, alpha=0.01, beta=0.1, w_line=0, w_edge=1, gamma=0.01

Module: segmentation

clear_border skimage.segmentation.clear_border(labels, buffer_size=0, bgval=0, in_place=False)

quickshift skimage.segmentation.quickshift() Segments image using quickshift clustering in Color-(x,y)