Python OpenCV-物体轮廓检测

1.cv2.findContours() 函数检测轮廓

import cv2
img = cv2.imread('C:/Users/Administrator/Desktop/New_Study/IMAGE/Pictures/1.jpg')  
 
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)  
ret, binary = cv2.threshold(gray,127,255,cv2.THRESH_BINARY)  
 
contours, hierarchy = cv2.findContours(binary,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)  
cv2.drawContours(img,contours,-1,(0,0,255),3)  
 =
cv2.imshow("img", img)  

cv2.imwrite('C:/Users/Administrator/Desktop/New_Study/IMAGE/Pictures/findContours.jpg',img)

cv2.waitKey(0)  

2.cv2.Canny()函数检测轮廓

import cv2
import numpy as np
from matplotlib import pyplot as plt

img = cv2.imread('C:/Users/Administrator/Desktop/New_Study/IMAGE/Pictures/1.jpg',1)
edges = cv2.Canny(img,100,200)

#Matplotlib显示
plt.figure(figsize=(12,8))
plt.subplot(121)
plt.imshow(img,cmap='gray')
plt.title('original')
plt.xticks([])
plt.yticks([])

plt.subplot(122)
plt.imshow(edges,cmap='gray')
plt.title('edge')
plt.xticks([])
plt.yticks([])

plt.show()

#OpenCV 显示
img = cv2.imread('C:/Users/Administrator/Desktop/New_Study/IMAGE/Pictures/1.jpg')
edges = cv2.Canny(img,100,200)
cv2.namedWindow('img',cv2.WINDOW_NORMAL)
cv2.imshow('img',img)
cv2.namedWindow('edges',cv2.WINDOW_NORMAL)
cv2.imshow('edges',edges)

cv2.waitKey()
cv2.destroyAllWindows()

不建议用Matplotlib展示图像，失真严重，效果如下图

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