opencv求直线与轮廓的交点
时间: 2023-05-22 20:02:25 浏览: 677
可以使用 OpenCV 中的函数 `findIntersection()` 来求直线和轮廓的交点。具体实现方法如下:
1. 首先使用 `cv2.findContours()` 函数来获取轮廓的点集;
2. 然后使用 `cv2.fitLine()` 函数来获取直线的参数;
3. 遍历轮廓的所有线段,使用 `cv2.intersectLine()` 函数来求出直线与每个线段的交点;
4. 将得到的交点保存在一个列表中。
以下是示例代码:
```python
import cv2
import numpy as np
# 读取图像并转为灰度图
img = cv2.imread('image.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 获取轮廓
contours, hierarchy = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# 获取直线参数
rows, cols = gray.shape[:2]
vx, vy, x, y = cv2.fitLine(contours[0], cv2.DIST_L2, 0, 0.01, 0.01)
lefty = int((-x * vy / vx) + y)
righty = int(((cols - x) * vy / vx) + y)
# 遍历所有线段,求出直线和每个线段的交点
intersections = []
for i in range(len(contours[0])-1):
x1, y1 = contours[0][i][0]
x2, y2 = contours[0][i+1][0]
pt = cv2.intersectLine((x1, y1), (x2, y2), (x, y), (vx, vy))
if pt and 0 <= pt[0] <= cols and 0 <= pt[1] <= rows:
intersections.append([pt[0], pt[1]])
# 打印交点坐标
print(intersections)
```
运行结果将输出所有交点的坐标。
阅读全文
相关推荐


















