figure on image processing

Author: gertingold

images/face0.png

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+import numpy as np
+from scipy import misc
+import matplotlib.pyplot as plt
+
+face = misc.face(gray=True)
+
+plt.imshow(face, cmap=plt.cm.gray)
+plt.savefig('face0.png')
+plt.clf()
+
+bwimage = np.zeros_like(face)
+bwimage[face > 128] = 255
+plt.imshow(bwimage, cmap=plt.cm.gray)
+plt.savefig('face1.png')
+plt.clf()
+
+framedface = np.zeros_like(face)
+framedface[31:-30, 31:-30] = face[31:-30, 31:-30]
+plt.imshow(framedface, cmap=plt.cm.gray)
+plt.savefig('face2.png')
+plt.clf()
+
+darkface = 255*(face/255)**1.5
+plt.imshow(darkface, cmap=plt.cm.gray)
+plt.savefig('face3.png')
+plt.clf()
+
+sy, sx = face.shape
+y, x = np.ogrid[0:sy, 0:sx]
+centerx, centery = (660, 300)
+mask = ((y - centery)**2 + (x - centerx)**2) > 230**2
+face[mask] = 0
+plt.imshow(face, cmap=plt.cm.gray)
+plt.savefig('face4.png')