opencv透视变换矫正python
时间: 2024-11-19 12:17:09 浏览: 50
在Python中,OpenCV库提供了一套强大的图像处理功能,包括透视变换(perspective transform)。透视变换用于改变图像中物体的布局,常用于图像校正、去除扭曲等场景。以下是一个简单的步骤概述:
1. 导入必要的库:
```python
import cv2
import numpy as np
```
2. 加载图片并读取其四个关键点(兴趣点),通常这些点构成两个相对应的四边形对角线:
```python
image = cv2.imread('input_image.jpg')
src_points = np.array([[point1_x, point1_y], [point2_x, point2_y], ...], np.float32) # 输入四点坐标
dst_points = np.array([[dest_point1_x, dest_point1_y], [dest_point2_x, dest_point2_y], ...], np.float32) # 目标四点坐标
```
3. 使用`cv2.getPerspectiveTransform()`计算变换矩阵:
```python
M = cv2.getPerspectiveTransform(src_points, dst_points)
```
4. 应用透视变换到原始图像:
```python
warped_image = cv2.warpPerspective(image, M, (image.shape[1], image.shape[0]))
```
5. 可视化结果:
```python
cv2.imshow('Original Image', image)
cv2.imshow('Warped Image', warped_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
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