coins skimage.data.coins()

polygon_perimeter skimage.draw.polygon_perimeter(cr, cc, shape=None, clip=False)

random_walker skimage.segmentation.random_walker(data, labels, beta=130, mode='bf', tol=0.001, copy=True, multichannel=False

gabor_kernel skimage.filters.gabor_kernel(frequency, theta=0, bandwidth=1, sigma_x=None, sigma_y=None, n_stds=3, offset=0)

guess_spatial_dimensions skimage.color.guess_spatial_dimensions(image)

hough_line_peaks skimage.transform.hough_line_peaks(hspace, angles, dists, min_distance=9, min_angle=10, threshold=None

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

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

Image data types and what they mean In skimage, images are simply

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