形态学--腐蚀运算详细过程

在网上翻看许多，都是只讲定义，不讲过程，故我根据一道题目来详细介绍如何进行腐蚀运算，膨胀运算与腐蚀运算差不多就不多加赘述了。题目如下：程序如下：

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import numpy as np
import cv2

A = np.array(
    [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
     [0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1],
     [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
     [0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0],
     [0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0],
     [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0],
     [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], np.uint8)
Ac = 1 - A
print(A)
print(Ac)
# print(np.pad(Ac, (1, 1), mode='constant', constant_values=(1, 1)))
print()
T1 = np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]], np.uint8)
T2 = np.array([[1, 0, 1], [0, 0, 0], [1, 0, 1]], np.uint8)
img1 = cv2.erode(A, T1)
# 事实上这里是cv2.erode(Ac, T2, borderValue=1)
img2 = cv2.erode(Ac, T2)
print(img1)
print(img2)
print()
print(img1 & img2)