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

imsave skimage.io.imsave(fname, arr, plugin=None, **plugin_args)

warn skimage.viewer.warn(message, category=None, stacklevel=2)

peak_local_max skimage.feature.peak_local_max(image, min_distance=1, threshold_abs=None, threshold_rel=None, exclude_border=True

corner_kitchen_rosenfeld skimage.feature.corner_kitchen_rosenfeld(image, mode='constant', cval=0)

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

skimage.novice A special Python image submodule for beginners. Description skimage.novice provides a simple image manipulation interface for beginners

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

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

rag_boundary skimage.future.graph.rag_boundary(labels, edge_map, connectivity=2)