import matplotlib.pyplot as plt

from skimage.data import camera
from skimage.filter import roberts, sobel

image = camera()
edge_roberts = roberts(image)
edge_sobel = sobel(image)

fig, (ax0, ax1) = plt.subplots(ncols=2)

ax0.imshow(edge_roberts, cmap=plt.cm.gray)
ax0.set_title('Roberts Edge Detection')
ax0.axis('off')

ax1.imshow(edge_sobel, cmap=plt.cm.gray)
ax1.set_title('Sobel Edge Detection')
ax1.axis('off')

plt.show()

"""
==============
Edge operators
==============

Edge operators are used in image processing within edge detection algorithms.
They are discrete differentiation operators, computing an approximation of the
gradient of the image intensity function.

"""
import matplotlib.pyplot as plt

from skimage.data import camera
from skimage.filter import roberts, sobel

image = camera()
edge_roberts = roberts(image)
edge_sobel = sobel(image)

fig, (ax0, ax1) = plt.subplots(ncols=2)

ax0.imshow(edge_roberts, cmap=plt.cm.gray)
ax0.set_title('Roberts Edge Detection')
ax0.axis('off')

ax1.imshow(edge_sobel, cmap=plt.cm.gray)
ax1.set_title('Sobel Edge Detection')
ax1.axis('off')

plt.show()

Add short description to edge filter example
Add short description to edge filter example
