Python使用数学形态学方法处理图像

本文要点在于Python扩展库numpy、scipy、matplotlib的用法和数学形态学中开、闭、腐蚀、膨胀等运算的实现。

>>> import numpy as np

>>> from scipy import ndimage

>>> import matplotlib.pyplot as plt

>>> square = np.zeros((32,32)) #全0数组

>>> square[10:20, 10:20] = 1 #把其中一部分设置为1

>>> x, y = (32*np.random.random((2, 15))).astype(np.int) #随机位置

>>> square[x,y] = 1 #把随机位置设置为1

>>> plt.imshow(square) #显示原始随机图像

>>> plt.show()

>>> open_square = ndimage.binary_opening(square) #开运算

>>> plt.imshow(open_square) #开运算结果

>>> plt.show()

>>> closed_square = ndimage.binary_closing(square) #闭运算

>>> plt.imshow(closed_square) #显示闭运算结果

>>> plt.show()

>>> eroded_square = ndimage.binary_erosion(square) #腐蚀运算

>>> plt.imshow(eroded_square)

>>> plt.show()

>>> dilation_square = ndimage.binary_dilation(square) #膨胀运算

>>> plt.imshow(dilation_square)

>>> plt.show()