opencvsharp surf 图像拼接

 1             Mat src1 = Cv2.ImRead(@"C:\Users\sa\Pictures\Saved Pictures\3.png");
 2             Mat src2 = Cv2.ImRead(@"C:\Users\sa\Pictures\Saved Pictures\4.png");
 3             Cv2.ImShow("src1", src1);
 4             Cv2.ImShow("src2", src2);
 5 
 6             SURF surf = SURF.Create(2000, upright: true);
 7             KeyPoint[] kp1, kp2;
 8             Mat dst1 = new Mat(), dst2 = new Mat();
 9             surf.DetectAndCompute(src1, null, out kp1, dst1);
10             surf.DetectAndCompute(src2, null, out kp2, dst2);
11 
12             FlannBasedMatcher flann = new FlannBasedMatcher();
13             DMatch[][] dm = flann.KnnMatch(dst1, dst2, 2);
14 
15             var dmWhere = dm.Where(x => x[0].Distance < 0.7 * x[1].Distance).ToArray();
16             Point2f[] goodPoints1 = dmWhere.Select(i => kp1[i[0].QueryIdx].Pt).ToArray();
17             Point2f[] goodPoints2 = dmWhere.Select(i => kp2[i[0].TrainIdx].Pt).ToArray();
18             
19             //List<Point2f> goodPoints3 = new List<Point2f>();
20             //List<Point2f> goodPoints4 = new List<Point2f>();
21             //for (int i = 0; i < dm.Length; i++)
22             //{
23             //    if (dm[i][0].Distance < 0.7 * dm[i][1].Distance)
24             //    {
25             //        goodPoints3.Add(kp1[dm[i][0].QueryIdx].Pt);
26             //        goodPoints4.Add(kp2[dm[i][0].TrainIdx].Pt);
27             //    }
28             //}
29             
30             Mat mask12 = new Mat();
31             Mat homography12 = Cv2.FindHomography(InputArray.Create(goodPoints2.ToArray()), InputArray.Create(goodPoints1.ToArray()), HomographyMethods.Ransac, 5, mask12);
32             
33             OpenCvSharp.Size size = new OpenCvSharp.Size(src1.Width + src2.Width, src1.Height);
34             Mat result = new Mat(size, MatType.CV_8UC3);
35             Cv2.WarpPerspective(src2, result, homography12, new OpenCvSharp.Size(src1.Width + src2.Width, src1.Height));
36 
37             ImageFusion(src1, result, 100);
38 
39             src1.CopyTo(result[new OpenCvSharp.Rect(0, 0, src1.Width, src1.Height)]);
40             Cv2.ImShow("Result", result);

 1         /// <summary>
 2         /// 图像交界处平滑处理
 3         /// </summary>
 4         /// <param name="src1"></param>
 5         /// <param name="src2"></param>
 6         /// <param name="width"></param>
 7         private void ImageFusion(Mat src1, Mat src2, int width)
 8         {
 9             float widthF = width;
10             int height = src1.Height;
11             int start = src1.Cols - width;
12             float alpha = 0f;
13             unsafe
14             {
15                 for (int i = 0; i < height; i++)
16                 {
17                     var ptr1 = (byte*)src1.Ptr(i);
18                     var ptr2 = (byte*)src2.Ptr(i);
19                     for (int j = start; j < src1.Cols; j++)
20                     {
21                         if (ptr2[j * 3] == 0 && ptr2[j * 3 + 1] == 0 && ptr2[j * 3 + 2] == 0)
22                         {
23                             alpha = 0f;
24                         }
25                         else
26                         {
27                             alpha = (j - start) / widthF;
28                         }
29                         ptr1[j * 3] = (byte)(ptr1[j * 3] * (1 - alpha) + ptr2[j * 3] * alpha);
30                         ptr1[j * 3 + 1] = (byte)(ptr1[j * 3 + 1] * (1 - alpha) + ptr2[j * 3 + 1] * alpha);
31                         ptr1[j * 3 + 2] = (byte)(ptr1[j * 3 + 2] * (1 - alpha) + ptr2[j * 3 + 2] * alpha);
32                     }
33                 }
34             }
35         }