Hough变换实现直线检测
Hough变换是一种用于直线检测的强大工具。下面是实现Hough直线检测的源码示例：
import cv2
import numpy as np
# 读取图像
image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# 边缘检测
edges = cv2.Canny(gray, 50, 150, apertureSize=3)
# 使用Hough变换检测直线
lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)
# 绘制检测到的直线
for rho, theta in lines[:, 0]:
a = np.cos(theta)
b = np.sin(theta)
x0 = a * rho
y0 = b * rho
x1 = int(x0 + 1000 * (-b))
y1 = int(y0 + 1000 * (a))
x2 = int(x0 - 1000 * (-b))
y2 = int(y0 - 1000 * (a))
cv2.line(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
# 显示结果
cv2.imshow('Hough Lines', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
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