2.6.8.3. Plot the block mean of an imageΒΆ

An example showing how to use broad-casting to plot the mean of blocks of an image.

plot block mean
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
f = sp.datasets.face(gray=True)
sx, sy = f.shape
X, Y = np.ogrid[0:sx, 0:sy]
regions = sy // 6 * (X // 4) + Y // 6
block_mean = sp.ndimage.mean(f, labels=regions, index=np.arange(1, regions.max() + 1))
block_mean.shape = (sx // 4, sy // 6)
plt.figure(figsize=(5, 5))
plt.imshow(block_mean, cmap=plt.cm.gray)
plt.axis("off")
plt.show()

Total running time of the script: (0 minutes 0.183 seconds)

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