python+opencv 角点检测

"""
功能：导入图片，进行边缘检测，并显示
"""

import cv2
import numpy as np

class MainWindow():

    def __init__(self):
        super().__init__()
        img = cv2.imread("D:/Users/xuyf2/Desktop/project_C/cap_2/2cp1638667968.jpg")
        img = img[357:517, 613:779]  # 左侧矩形

        scr1 = cv2.medianBlur(img, 5)
        gray = cv2.cvtColor(scr1, cv2.COLOR_BGR2GRAY)
        gray = cv2.medianBlur(gray, 5)

        # Otsu方法
        t2, dst2 = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
        cv2.imshow("3", dst2)

        edges = cv2.Canny(dst2, 150, 400, L2gradient=False)
        cv2.imshow("bianyuanjiance", edges)

        gra = np.float32(edges)
        corners = cv2.goodFeaturesToTrack(gra, 50, 0.1, 70)
        # corners = cv2.goodFeaturesToTrack(gra, 50, 0.1, 40)

        corners = np.int0(corners)
        coordinate = []
        zuobiaos = []
        for i in corners:
            x, y = i.ravel()
            coordinate0 = [x, y]
            zuobiaos.append([x, y])
            coordinate.append(coordinate0)
            photo_jiaodian = cv2.circle(gray, (x, y), 4, (0, 0, 255), -1)
            cv2.imshow("jiaodian", photo_jiaodian)

if __name__ == '__main__':

    mainWindow = MainWindow()
    cv2.waitKey(0)
    cv2.destroyAllWindows()