06_OpenCV二值化处理

import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
img = cv2.imread('dargon.JPG',1)

GrayImage = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#GrayImage = np.array(dst).reshape(800,800).astype(np.uint8)

ret,thresh1=cv2.threshold(GrayImage,10,255,cv2.THRESH_BINARY)  
ret,thresh2=cv2.threshold(GrayImage,10,255,cv2.THRESH_BINARY_INV)  
ret,thresh3=cv2.threshold(GrayImage,10,255,cv2.THRESH_TRUNC)  
ret,thresh4=cv2.threshold(GrayImage,10,255,cv2.THRESH_TOZERO)  
ret,thresh5=cv2.threshold(GrayImage,10,255,cv2.THRESH_TOZERO_INV)  
titles = ['Gray Image','BINARY','BINARY_INV','TRUNC','TOZERO','TOZERO_INV']  
images = [GrayImage, 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()