hough_line skimage.transform.hough_line(img, theta=None)

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

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

multiblock_lbp skimage.feature.multiblock_lbp(int_image, r, c, width, height)

iradon_sart skimage.transform.iradon_sart(radon_image, theta=None, image=None, projection_shifts=None, clip=None, relaxation=0

ifrt2 skimage.transform.ifrt2(a)

perimeter skimage.measure.perimeter(image, neighbourhood=4)

imshow_collection skimage.io.imshow_collection(ic, plugin=None, **plugin_args)

ellipse_perimeter skimage.draw.ellipse_perimeter() Generate ellipse perimeter coordinates.

A crash course on NumPy for images Images manipulated by scikit-image are simply NumPy arrays. Hence, a large fraction of operations on images will just consist in using NumPy: