Opening, erosion, and propagation

This example shows simple operations of mathematical morphology.

../../../_images/plot_propagation_1.png

Python ソースコード: plot_propagation.py

import numpy as np

from scipy import ndimage

import matplotlib.pyplot as plt



square = np.zeros((32, 32))

square[10:-10, 10:-10] = 1

np.random.seed(2)

x, y = (32*np.random.random((2, 20))).astype(np.int)

square[x, y] = 1



open_square = ndimage.binary_opening(square)



eroded_square = ndimage.binary_erosion(square)

reconstruction = ndimage.binary_propagation(eroded_square, mask=square)



plt.figure(figsize=(9.5, 3))

plt.subplot(131)

plt.imshow(square, cmap=plt.cm.gray, interpolation='nearest')

plt.axis('off')

plt.subplot(132)

plt.imshow(open_square, cmap=plt.cm.gray, interpolation='nearest')

plt.axis('off')

plt.subplot(133)

plt.imshow(reconstruction, cmap=plt.cm.gray, interpolation='nearest')

plt.axis('off')



plt.subplots_adjust(wspace=0, hspace=0.02, top=0.99, bottom=0.01, left=0.01, right=0.99)

plt.show()

Total running time of the example: 0.14 seconds ( 0 minutes 0.14 seconds)