6. Opencv实现透视变换

import cv2
import numpy as np

img = cv2.imread(‘D:\pycharm project\cameraCalibration\chang.jpg’)
H_rows, W_cols= img.shape[:2]
print(img.shape[0])
print(H_rows, W_cols)

原图中书本的四个角点(左上、右上、左下、右下),与变换后矩阵位置

pts1 = np.float32([[71, 617], [711, 411], [265, 1315], [1079, 963]])
pts2 = np.float32([[0, 0],[1080,0],[0, 1080],[1080, 1080]])

生成透视变换矩阵；进行透视变换

M = cv2.getPerspectiveTransform(pts1, pts2)
dst = cv2.warpPerspective(img, M, (1080,1080))

cv2.imshow(“original_img”,img)
cv2.imshow(“result”,dst)
cv2.waitKey(0)
cv2.destroyAllWindows()

1. #include <opencv2\opencv.hpp>
2. #include
4. using namespace cv;
5. using namespace std;
7. int main()
8. {
9. Mat img = imread(“noobcvqr.png”);
10. if (img.empty())
11. {

12.  cout << "请确认图像文件名称是否正确" << endl;
    

13.  return -1;
    

14. }
16. Point2f src_points[4];
17. Point2f dst_points[4];
18. //通过Image Watch查看的二维码四个角点坐标
19. src_points[0] = Point2f(94.0, 374.0);
20. src_points[1] = Point2f(507.0, 380.0);
21. src_points[2] = Point2f(1.0, 623.0);
22. src_points[3] = Point2f(627.0, 627.0);
23. //期望透视变换后二维码四个角点的坐标
24. dst_points[0] = Point2f(0.0, 0.0);
25. dst_points[1] = Point2f(627.0, 0.0);
26. dst_points[2] = Point2f(0.0, 627.0);
27. dst_points[3] = Point2f(627.0, 627.0);
28. Mat rotation, img_warp;
29. rotation = getPerspectiveTransform(src_points, dst_points); //计算透视变换矩阵
30. warpPerspective(img, img_warp, rotation, img.size()); //透视变换投影
31. imshow(“img”, img);
32. imshow(“img_warp”, img_warp);
33. waitKey(0);
34. return 0;
35. }

来源：CSDN

作者：weixin_42505877

链接：https://blog.csdn.net/weixin_42505877/article/details/103479576