用opencv写一个平行直线测距的python代码
时间: 2023-05-23 18:06:11 浏览: 61
下面是使用OpenCV进行平行直线测距的Python代码示例:
```python
import cv2
import numpy as np
# 读取图像,转换为灰度图像
img = cv2.imread('test.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 进行Canny边缘检测
edges = cv2.Canny(gray, 50, 150, apertureSize=3)
# 进行霍夫直线变换,检测直线
lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)
# 绘制直线
for line in lines:
rho, theta = line[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(img, (x1, y1), (x2, y2), (0, 0, 255), 2)
# 计算两条平行直线之间的距离
distances = []
for i in range(len(lines)):
for j in range(i + 1, len(lines)):
if np.abs(lines[i][0][1] - lines[j][0][1]) < np.pi / 18: # 判断两条直线是否平行
distance = np.abs(lines[i][0][0] - lines[j][0][0]) # 计算两条直线之间的距离
distances.append(distance)
# 显示图像并输出两条平行直线之间的距离
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()
if distances:
print("两条平行直线之间的距离为:", np.mean(distances))
else:
print("未检测到平行直线。")
```
需要注意的是,在进行霍夫直线变换时,需要根据图像的具体情况调整参数以得到较为准确的直线检测结果。同时,在计算两条平行直线之间的距离时,需要对直线的平行性进行判断。