用python求出点在霍夫空间下曲线峰值点即交点，并把峰值点处直线显示出来

以下是一个示例代码，用于在霍夫空间下找到曲线的峰值点并显示相应的直线：

import cv2
import numpy as np

# Load image and convert to grayscale
img = cv2.imread('input.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Apply edge detection
edges = cv2.Canny(gray, 50, 150, apertureSize=3)

# Find lines in Hough space
lines = cv2.HoughLines(edges, rho=1, theta=np.pi/180, threshold=100)

# Find intersection points of lines
points = []
for i in range(len(lines)):
    for j in range(i+1, len(lines)):
        rho1, theta1 = lines[i][0]
        rho2, theta2 = lines[j][0]
        A = np.array([[np.cos(theta1), np.sin(theta1)], [np.cos(theta2), np.sin(theta2)]])
        b = np.array([[rho1], [rho2]])
        x0, y0 = np.linalg.solve(A, b)
        x0, y0 = int(np.round(x0)), int(np.round(y0))
        points.append((x0, y0))

# Draw lines through intersection points
for p in points:
    cv2.line(img, (p[0]-1000, p[1]-1000*lines[0][0][1]), (p[0]+1000, p[1]+1000*lines[0][0][1]), (0, 0, 255), 2)

# Display result
cv2.imshow('Result', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

该代码首先加载图像并将其转换为灰度图像。然后，应用边缘检测以在图像中查找边缘。接下来，使用霍夫变换在霍夫空间中查找直线。然后，使用线的方程找到它们的交点。最后，绘制通过交点的直线并显示结果。