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

enhance_contrast_percentile skimage.filters.rank.enhance_contrast_percentile(image, selem, out=None, mask=None

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:

img_as_ubyte skimage.util.img_as_ubyte(image, force_copy=False)

local_binary_pattern skimage.feature.local_binary_pattern(image, P, R, method='default')

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

ifrt2 skimage.transform.ifrt2(a)

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

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

iradon skimage.transform.iradon(radon_image, theta=None, output_size=None, filter='ramp', interpolation='linear', circle=False)