import cv2 #opencv的缩写为cv2
import matplotlib.pyplot as plt # matplotlib库用于绘图展示
import numpy as np   # numpy数值计算工具包

# 魔法指令，直接展示图，Jupyter notebook特有
%matplotlib inline

# 礼帽 
# 原始带刺，开运算不带刺，原始输入-开运算 = 刺
img = cv2.imread('01_Picture/05_Dige.png')
kernel = np.ones((5,5),np.uint8)
tophat = cv2.morphologyEx(img,cv2.MORPH_TOPHAT,kernel)
cv2.imshow('tophat',tophat)
cv2.waitKey(0)
cv2.destroyAllWindows()

# 黑帽  
# 原始带刺，闭运算带刺并且比原始边界胖一点，闭运算-原始输入 = 原始整体
img = img = cv2.imread('01_Picture/05_Dige.png')
kernel = np.ones((5,5),np.uint8)
blackhat = cv2.morphologyEx(img,cv2.MORPH_BLACKHAT,kernel)
cv2.imshow('blackhat',blackhat)
cv2.waitKey(0)
cv2.destroyAllWindows()

礼帽与黑帽¶

1. 礼帽¶

2. 黑帽¶