geometric_mean skimage.filters.rank.geometric_mean(image, selem, out=None, mask=None, shift_x=False, shift_y=False)

noise_filter skimage.filters.rank.noise_filter(image, selem, out=None, mask=None, shift_x=False, shift_y=False)

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

probabilistic_hough_line skimage.transform.probabilistic_hough_line(img, threshold=10, line_length=50, line_gap=10

rag_mean_color skimage.future.graph.rag_mean_color(image, labels, connectivity=2, mode='distance', sigma=255.0)

rgb2luv skimage.color.rgb2luv(rgb)

LineTool class skimage.viewer.canvastools.LineTool(manager, on_move=None, on_release=None, on_enter=None, maxdist=10, line_props=None

warp_coords skimage.transform.warp_coords(coord_map, shape, dtype=)

chelsea skimage.data.chelsea()

block_reduce skimage.measure.block_reduce(image, block_size, func=, cval=0)