二值化的cv2 threshold函数

type:使用的阈值类型 

例子：

#python 3.5.3  蔡军生    
#http://edu.csdn.net/course/detail/2592    
#

import cv2
import matplotlib.pyplot as plt

img = cv2.imread(‘test1.jpg‘,0) #直接读为灰度图像

#二值化
ret,thresh1 = cv2.threshold(img,1,255,cv2.THRESH_BINARY)

ret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV)
ret,thresh3 = cv2.threshold(img,127,255,cv2.THRESH_TRUNC)
ret,thresh4 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO)
ret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV)
titles = [‘img‘,‘BINARY‘,‘BINARY_INV‘,‘TRUNC‘,‘TOZERO‘,‘TOZERO_INV‘]
images = [img,thresh1,thresh2,thresh3,thresh4,thresh5]
for i in range(6):
    plt.subplot(2,3,i+1),plt.imshow(images[i],‘gray‘)
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])
plt.show()

可见使用这个函数可以获取轮廓图案。

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 http://edu.csdn.net/course/detail/2579