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=)

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

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

vscharr skimage.filters.vscharr(*args, **kwargs)

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

plot_matches skimage.feature.plot_matches(ax, image1, image2, keypoints1, keypoints2, matches, keypoints_color='k', matches_color=None

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

unsupervised_wiener skimage.restoration.unsupervised_wiener(image, psf, reg=None, user_params=None, is_real=True,