#encoding:utf-8

import cv2

import numpy as np

import matplotlib.pyplot as plt

#读取图像

img=cv2.imread('miao.jpg')

lenna_img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)

GrayImage=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

#阈值化处理

ret,thresh1=cv2.threshold(GrayImage,127,255,cv2.THRESH_BINARY)

ret,thresh2=cv2.threshold(GrayImage,127,255,cv2.THRESH_BINARY_INV)

ret,thresh3=cv2.threshold(GrayImage,127,255,cv2.THRESH_TRUNC)

ret,thresh4=cv2.threshold(GrayImage,127,255,cv2.THRESH_TOZERO)

ret,thresh5=cv2.threshold(GrayImage,127,255,cv2.THRESH_TOZERO_INV)

#显示结果

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()