2.6.8.3. Image manipulation and numpy arrays

This example shows how to do image manipulation using common numpy arrays tricks.

import numpy as np
import scipy
import scipy.misc
import matplotlib.pyplot as plt

face = scipy.misc.face(gray=True)
face[10:13, 20:23]
face[100:120] = 255

lx, ly = face.shape
X, Y = np.ogrid[0:lx, 0:ly]
mask = (X - lx/2)**2 + (Y - ly/2)**2 > lx*ly/4
face[mask] = 0
face[range(400), range(400)] = 255

plt.figure(figsize=(3, 3))
plt.axes([0, 0, 1, 1])
plt.imshow(face, cmap=plt.cm.gray)
plt.axis('off')

plt.show()

Total running time of the script: ( 0 minutes 0.197 seconds)