python opencv角点检测

import cv2
import numpy as np

# 读取灰度图像
image = cv2.imread(r"C:\Users\Administrator\Desktop\tmp\pose.jpg")

img_show=image.copy()
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# 转换为二值图
_, binary = cv2.threshold(gray, 15, 255, cv2.THRESH_BINARY)

# Harris 角点检测
dst = cv2.cornerHarris(binary, blockSize=5, ksize=5, k=0.05)

# 角点增强
dst = cv2.dilate(dst, None)

# 设定角点阈值
threshold = 0.01 * dst.max()
corner_coords = np.argwhere(dst > threshold)  # 角点坐标 (y, x)

# 可视化角点
corner_image = cv2.cvtColor(binary, cv2.COLOR_GRAY2BGR)
side_length=3
for y, x in corner_coords:

    cv2.circle(img_show, (x, y), 1, (0, 0, 255), 1)  # 标记红色角点
    # cv2.circle(img_show, (x, y), 3, (0, 255, 0), 1)  # 标记红色角点

# 显示角点坐标
print("检测到的角点坐标：",len(corner_coords))

# 显示结果
cv2.imshow("img_show", img_show)
cv2.imshow("image", image)
cv2.imshow("binary", binary)
cv2.waitKey(0)
cv2.destroyAllWindows()