shi_tomasi角点检测_适合跟踪图像特征.py

# -*- coding: utf-8 -*-
# @Time : 2021/06/10 11:33
# @Author : yunshan
# @File : shi_tomasi角点检测_适合跟踪图像特征.py
import numpy as np

import cv2

image = cv2.imread(r"../picture_data/jiaodian1.png")
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = np.float32(image_gray)

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

ls_center = []
for i in corners:
    x,y = i.ravel()
    # 画圆
    cv2.circle(image,(x,y),3,(0,0,255),0)
    # 图片名，插入的文字，位置坐标，字体，字大小，颜色，字粗细
    cv2.putText(image, str(i), (x,y), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 255, 0), 1)

    ls_center.append([x,y])



print(ls_center)
cv2.imshow("result",image)
cv2.waitKey(0)