guess_spatial_dimensions skimage.color.guess_spatial_dimensions(image)

page skimage.data.page()

wiener skimage.restoration.wiener(image, psf, balance, reg=None, is_real=True, clip=True)

random_noise skimage.util.random_noise(image, mode='gaussian', seed=None, clip=True, **kwargs)

MCP_Geometric class skimage.graph.MCP_Geometric(costs, offsets=None, fully_connected=True) Bases: skimage

binary_closing skimage.morphology.binary_closing(image, selem=None, *args, **kwargs)

Module: exposure

sobel_v skimage.filters.sobel_v(image, mask=None)

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

SimilarityTransform class skimage.transform.SimilarityTransform(matrix=None, scale=None, rotation=None, translation=None)