Emgucv不完整图像分割试验(十五）—— 匹配特征点的提取以及半透明显示连接线

有人求助说要将Emgucv模板匹配中的连接线半透明显示出来，没想多示例代码的集成度太高，

 Mat mask;
                FindMatch(modelImage, observedImage, out matchTime, out modelKeyPoints, out observedKeyPoints, matches,
                   out mask, out homography);

                //Draw the matched keypoints
                Mat result = new Mat();
                Features2DToolbox.DrawMatches(modelImage, modelKeyPoints, observedImage, observedKeyPoints,
                   matches, result, new MCvScalar(255, 0, 255), new MCvScalar(255, 0, 255), mask);

Features2DToolbox.DrawMatches（）虽然可以设置颜色，但始终无法半透明显示，一气之下自己重写了一个。效果如下：

代码如下：

   using (VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch())
            {
                Mat mask;
                FindMatch(modelImage, observedImage, out matchTime, out modelKeyPoints, out observedKeyPoints, matches,
                   out mask, out homography);

                //Draw the matched keypoints
                Mat result = new Mat();
                Features2DToolbox.DrawMatches(modelImage, modelKeyPoints, observedImage, observedKeyPoints,
                   matches, result, new MCvScalar(255, 0, 255), new MCvScalar(255, 0, 255), mask);



                //定义个新的aa，尺寸匹配图+模板图的宽，两者较高的高
                //用来放匹配图和模板图
                int w = modelImage.Width + observedImage.Width;
                int h = Math.Max(modelImage.Height, observedImage.Height);
                Image aa = new Image(new Size(w, h));

                //ROI设置与CopyTo顺序要注意
                Image obImage = observedImage.ToImage();
                aa.ROI = obImage.ROI;
                obImage.CopyTo(aa);

                Image moImage = modelImage.ToImage();
                aa.ROI = new Rectangle(new Point(observedImage.Width,0), modelImage.Size);
                moImage.CopyTo(aa);

                //恢复原始ROI
                aa.ROI = new Rectangle(new Point(0, 0), new Size(w, h));

                //定义个新的bb，尺寸匹配图+模板图的宽，两者较高的高
                //用来放匹配点以及匹配点连接线
                Image bb = new Image(new Size(w, h));

                foreach (MKeyPoint pp in observedKeyPoints.ToArray())
                {
                    CircleF cF = new CircleF(pp.Point, 2);
                    bb.Draw(cF, new Bgr(255, 0, 255), 2);
                }

                foreach (MKeyPoint pp in modelKeyPoints.ToArray())
                {
                    CircleF cF = new CircleF(new PointF(pp.Point.X+ observedImage.Width,pp.Point.Y), 2);
                    bb.Draw(cF, new Bgr(255, 0, 255), 2);
                }

                MKeyPoint[] mp= modelKeyPoints.ToArray();
                MKeyPoint[] op = observedKeyPoints.ToArray();

                for (int i = 0; i < matches.Size; i++)
                {
                    VectorOfDMatch vdm = matches[i];
                    for (int j = 0; j < vdm.Size; j++)
                    {
                        if (vdm[j].Distance > 0.7)
                        {
                            int a = vdm[j].QueryIdx;
                            int b = vdm[j].TrainIdx;

                            PointF pp = new PointF(modelKeyPoints[b].Point.X + observedImage.Width, modelKeyPoints[b].Point.Y);
                            LineSegment2DF lines = new LineSegment2DF(observedKeyPoints[a].Point, pp);
                            bb.Draw(lines, new Bgr(255, 255, 0), 2);
                        }
                    }
                }

                //定义个新的cc，尺寸匹配图+模板图的宽，两者较高的高
                //用来加权叠加（半透明）
                Image cc = new Image(new Size(w, h));
                CvInvoke.AddWeighted(aa, 1, bb, 0.5, 0, cc);




                #region draw the projected region on the image

                if (homography != null)
                {
                    //draw a rectangle along the projected model
                    Rectangle rect = new Rectangle(Point.Empty, modelImage.Size);
                    PointF[] pts = new PointF[]
                    {
                  new PointF(rect.Left, rect.Bottom),
                  new PointF(rect.Right, rect.Bottom),
                  new PointF(rect.Right, rect.Top),
                  new PointF(rect.Left, rect.Top)
                    };
                    pts = CvInvoke.PerspectiveTransform(pts, homography);

#if NETFX_CORE
               Point[] points = Extensions.ConvertAll(pts, Point.Round);
#else
                    Point[] points = Array.ConvertAll(pts, Point.Round);
#endif
                    using (VectorOfPoint vp = new VectorOfPoint(points))
                    {
                        CvInvoke.Polylines(result, vp, true, new MCvScalar(255, 0, 0, 32), 5);
                    }
                }
                #endregion

                //Image cc = aa.ToImage();
                //cc.Draw(new LineSegment2D(new Point(0, 0), new Point(150, 150)), new Bgr(255, 0, 0), 10);
             
                //CvInvoke.AddWeighted(result, 1, cc.Mat, 0.5, 0,cc.Mat);
                return cc.Mat;

            }

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