Plot the block mean of an image

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

../../../_images/plot_block_mean_1.png

Python ソースコード: plot_block_mean.py

import numpy as np

import scipy.misc

from scipy import ndimage

import matplotlib.pyplot as plt



f = scipy.misc.face(gray=True)

sx, sy = f.shape

X, Y = np.ogrid[0:sx, 0:sy]



regions = sy/6 * (X/4) + Y/6

block_mean = 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 example: 0.25 seconds ( 0 minutes 0.25 seconds)