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

rgb2luv skimage.color.rgb2luv(rgb)

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)

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

canny skimage.feature.canny(image, sigma=1.0, low_threshold=None, high_threshold=None, mask=None, use_quantiles=False)

denoise_bilateral skimage.restoration.denoise_bilateral(image, win_size=None, sigma_color=None, sigma_spatial=1, bins=10000

Module: exposure