opencv python版-lesson 13

模拟虚化

import cv2
import numpy as np
import matplotlib.pyplot as mp

img=cv2.imread('opencv.jpg',0)
img =cv2.medianBlur(img,5)
ret,th1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
th2=cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
th3=cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)
titles=['Original Image','Global Thresholding','adative_mean','adativa_gaussian']
images=[img,th1,th2,th3]

for i in range(4):
    mp.subplot(2,2,i+1),mp.imshow(images[i],'gray')
    mp.title(titles[i])
    mp.xticks([]),mp.yticks([])

mp.show()