opencv霍夫直线检测

您可以使用OpenCV自带的霍夫算法进行图像直线检测。首先，您需要导入OpenCV和NumPy库，并加载图像。然后，将图像转换为灰度图像并进行边缘检测，可以使用Canny算子。接下来，使用cv2.HoughLinesP()函数进行概率直线检测。该函数的参数包括边缘图像、距离分辨率rho、角度分辨率theta、阈值threshold、最小线段长度minLineLength和最大线段间隔maxLineGap。该函数的输出是直线点的坐标位置。最后，可以在原始图像上绘制检测到的直线。以下是示例代码:

import cv2
import numpy as np

# 加载图像
img = cv2.imread('4.jpg')

# 转换为灰度图像
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 边缘检测
edges = cv2.Canny(gray, 50, 150, apertureSize=3)

#### 引用[.reference_title]
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