import cv2 import numpy as np

读入图像

img1 = cv2.imread('images/muban.png')

转换为灰度图像

img2 = cv2.cvtColor(img1,cv2.COLOR_BGR2GRAY)

二值化处理

ret,img3 = cv2.threshold(img2,120,255,cv2.THRESH_BINARY_INV)

形态学操作

kernel = cv2.getStructuringElement(cv2.MORPH_RECT,(5,5)) img4 = cv2.morphologyEx(img3,cv2.MORPH_OPEN,kernel) img5 = cv2.morphologyEx(img4,cv2.MORPH_OPEN,kernel)

查找轮廓

coutours,h = cv2.findContours(img5,cv2.RETR_LIST,cv2.CHAIN_APPROX_NONE)

绘制轮廓

cv2.drawContours(img1,coutours,0,(0,0,255),2) cv2.drawContours(img1,coutours,1,(0,0,255),2)

计算轮廓面积并判断是否有瑕疵

area = cv2.contourArea(coutours[0]) + cv2.contourArea(coutours[1]) if area > 200: print("这个零件有瑕疵，具体看红圈的部分") else: print("这个零件无瑕疵，可以通过质检")

显示图像

cv2.imshow('muban',img5) cv2.imshow('gray',img1) cv2.waitKey(0