python opencv Shi-Tomasi 角点检测和特征跟踪

OpenCV有个函数cv2.goodFeaturesToTrack()。它会用Shi-Tomasi方法（或者Harris角点检测，你可以指定）找到N个最强的角。
这个函数更适合跟踪。

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

img = cv2.imread('touxiang.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

corners = cv2.goodFeaturesToTrack(gray,25,0.01,10)
corners = np.int0(corners)

for i in corners:
    x,y = i.ravel()#将多维数组降位一维
    cv2.circle(img,(x,y),3,255,-1)

plt.imshow(img),plt.show()

(, None)