C# OpenCV实现形状匹配的方法详解

这篇文章主要为大家详细介绍了如何利用C#+OpenCV实现形状匹配的效果,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下

1. 多角度模板匹配测试效果如下图:

图1-1 

图1-2

图1-3

正负角度均可正常识别,识别角度偏差<1°

2. 下面分享一下开发过程:

a). ROI区域的生成,基于GDI+完成图形绘制,如图

绘制模板设置区域,用来生成需要的模板特征。

ROI区域绘制代码如下:

        ///  /// 区域绘制 ///  ///  ///  ///  public  static void drawRegion(this Graphics graphics, RegionEx regionEx,float sizeratio=1) { if (regionEx?.Region is RectangleF) { RectangleF rect = (RectangleF)regionEx.Region; graphics.DrawRectangle(new Pen(regionEx.Color, regionEx.Size), rect.X / sizeratio, rect.Y / sizeratio, rect.Width / sizeratio, rect.Height / sizeratio); } else if(regionEx?.Region is RotatedRectF) { RotatedRectF rrect = (RotatedRectF)regionEx.Region; using (var graph = new GraphicsPath()) { PointF Center = new PointF(rrect.cx / sizeratio, rrect.cy / sizeratio); graph.AddRectangle(new RectangleF( rrect.getrectofangleEqualZero().X / sizeratio, rrect.getrectofangleEqualZero().Y / sizeratio, rrect.getrectofangleEqualZero().Width / sizeratio, rrect.getrectofangleEqualZero().Height / sizeratio)); graph.AddLine(new PointF((rrect.cx - rrect.Width / 2) / sizeratio, rrect.cy / sizeratio), new PointF((rrect.cx + rrect.Width/2) / sizeratio, rrect.cy / sizeratio)); / RotatedRectF rotatedRectF = new RotatedRectF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio,20 / sizeratio, 10 / sizeratio, 0); PointF[] point2Fs = rotatedRectF.getPointF(); graph.AddLine(new PointF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio), new PointF(point2Fs[0].X, point2Fs[0].Y)); graph.AddLine(new PointF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio), new PointF(point2Fs[3].X, point2Fs[3].Y)); / var a = rrect.angle * (Math.PI / 180); var n1 = (float)Math.Cos(a); var n2 = (float)Math.Sin(a); var n3 = -(float)Math.Sin(a); var n4 = (float)Math.Cos(a); var n5 = (float)(Center.X * (1 - Math.Cos(a)) + Center.Y * Math.Sin(a)); var n6 = (float)(Center.Y * (1 - Math.Cos(a)) - Center.X * Math.Sin(a)); graph.Transform(new Matrix(n1, n2, n3, n4, n5, n6)); graphics.DrawPath(new Pen(regionEx.Color, regionEx.Size), graph); } } else if (regionEx?.Region is RotatedCaliperRectF) { RotatedCaliperRectF rrect = (RotatedCaliperRectF)regionEx.Region; using (var graph = new GraphicsPath()) { PointF Center = new PointF(rrect.cx / sizeratio, rrect.cy / sizeratio); graph.AddRectangle(new RectangleF(rrect.getrectofangleEqualZero().X / sizeratio, rrect.getrectofangleEqualZero().Y / sizeratio, rrect.getrectofangleEqualZero().Width / sizeratio, rrect.getrectofangleEqualZero().Height / sizeratio)); graph.AddLine(new PointF((rrect.cx - rrect.Width / 2) / sizeratio, rrect.cy / sizeratio), new PointF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio)); / RotatedCaliperRectF rotatedRectF = new RotatedCaliperRectF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio, 20 / sizeratio, 10 / sizeratio, 0); PointF[] point2Fs = rotatedRectF.getPointF(); graph.AddLine(new PointF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio), new PointF(point2Fs[0].X, point2Fs[0].Y)); graph.AddLine(new PointF((rrect.cx + rrect.Width / 2) / sizeratio, rrect.cy / sizeratio), new PointF(point2Fs[3].X, point2Fs[3].Y)); / var a = rrect.angle * (Math.PI / 180); var n1 = (float)Math.Cos(a); var n2 = (float)Math.Sin(a); var n3 = -(float)Math.Sin(a); var n4 = (float)Math.Cos(a); var n5 = (float)(Center.X * (1 - Math.Cos(a)) + Center.Y * Math.Sin(a)); var n6 = (float)(Center.Y * (1 - Math.Cos(a)) - Center.X * Math.Sin(a)); graph.Transform(new Matrix(n1, n2, n3, n4, n5, n6)); graphics.DrawPath(new Pen(regionEx.Color, regionEx.Size), graph); } } else if (regionEx?.Region is CircleF) { CircleF circle = (CircleF)regionEx.Region; graphics.DrawEllipse(new Pen(regionEx.Color, regionEx.Size), (circle.Centerx - circle.Radius) / sizeratio, (circle.Centery - circle.Radius) / sizeratio, 2 * circle.Radius / sizeratio, 2 * circle.Radius / sizeratio); } else if (regionEx?.Region is PointF) { PointF point = (PointF)regionEx.Region; graphics.DrawPolygon(new Pen(regionEx.Color, regionEx.Size), new PointF[] { new PointF ( point.X/sizeratio,point.Y/sizeratio )}); } else if (regionEx?.Region is PolygonF) { PolygonF polygon = (PolygonF)regionEx.Region; List temlist = new List(); foreach (var s in polygon.Points) temlist.Add(new PointF(s.X / sizeratio, s.Y / sizeratio)); graphics.DrawPolygon(new Pen(regionEx.Color, regionEx.Size), temlist.ToArray()); } else if (regionEx?.Region is LineF) { LineF line = (LineF)regionEx.Region; graphics.DrawLine(new Pen(regionEx.Color, regionEx.Size), line.x1/ sizeratio, line.y1/ sizeratio, line.x2/ sizeratio, line.y2/ sizeratio); } else if (regionEx?.Region is CrossF) { CrossF cross = (CrossF)regionEx.Region; graphics.DrawLine(new Pen(regionEx.Color, regionEx.Size), (cross.x1- cross.width/2) / sizeratio, cross.y1 / sizeratio, (cross.x1 + cross.width / 2) / sizeratio, cross.y1 / sizeratio); graphics.DrawLine(new Pen(regionEx.Color, regionEx.Size), cross.x1 / sizeratio, (cross.y1- cross.height/2) / sizeratio, cross.x1 / sizeratio, (cross.y1 + cross.height / 2) / sizeratio); graphics.DrawEllipse(new Pen(regionEx.Color, regionEx.Size), (cross.x1 - cross.radius) / sizeratio, (cross.y1 - cross.radius) / sizeratio, 2 * cross.radius / sizeratio, 2 * cross.radius / sizeratio); } else if(regionEx?.Region is SectorF) { SectorF sectorF=(SectorF)regionEx.Region; //graphics.DrawEllipse(MyPens.assist, sectorF.x / sizeratio, sectorF.y / sizeratio, //  sectorF.width / sizeratio, sectorF.height / sizeratio); graphics.DrawPie(new Pen(regionEx.Color, regionEx.Size), sectorF.x / sizeratio, sectorF.y / sizeratio, sectorF.width / sizeratio, sectorF.height / sizeratio, sectorF.startAngle, sectorF.sweepAngle); } else if (regionEx?.Region is Region) { Region unionRegion = (Region)regionEx?.Region; //RectangleF rectangleF = unionRegion.GetBounds(graphics); //Matrix matrix = new Matrix(); //matrix.Scale(1/sizeratio, 1/sizeratio); //unionRegion.Transform(matrix); //RectangleF rectangleF2= unionRegion.GetBounds(graphics); graphics.FillRegion(Brushes.Orange, unionRegion); } else ; } 

b). 模板创建

模板如图:

选择稳定唯一的形状特征,设置合适的参数,用来生成模板,此基础版生成的特征为闭合的轮廓,后期版本会推出非闭合的多轮廓形状匹配算法。

模板创建代码如下:

         //创建模板 private void btncreateModel_Click(object sender, EventArgs e) { if (GrabImg == null || GrabImg.Width <= 0) { MessageBox.Show("未获取图像"); return; } List roiList = currvisiontool.getRoiList(); if (roiList.Count <= 0) { MessageBox.Show("请设置模板创建区域{矩形}"); return; } if (MessageBox.Show("确认创建新模板?", "Info", MessageBoxButtons.YesNo, MessageBoxIcon.Question) == DialogResult.Yes) { CVRect cVRect = new CVRect((int)roiList[0].X, (int)roiList[0].Y, (int)roiList[0].Width, (int)roiList[0].Height); Mat tp = MatExtension.Crop_Mask_Mat(GrabImg, cVRect); templateContour = null; coutourLen = 100; NumMincoutourLen.Value=100; contourArea = 100; NumMinContourArea.Value=100; double modelx = 0, modely = 0; runTool = new ShapeMatchTool(); parmaData = new ShapeMatchData(); (parmaData as ShapeMatchData).Segthreshold = (double)NumSegthreshold.Value; modeltp = (runTool as ShapeMatchTool).CreateTemplateContours(tp, (parmaData as ShapeMatchData).Segthreshold, cVRect, ref templateContour, ref coutourLen, ref contourArea, ref modelx, ref modely, ref modelangle); picTemplate.Image = BitmapConverter.ToBitmap(modeltp); if (templateContour == null) { MessageBox.Show("模板创建失败!"); return; } modelx += cVRect.X; modely += cVRect.Y; lIstModelInfo.Items.Clear(); lIstModelInfo.Items.Add(new ListViewItem( new string[] { "BaseX", modelx.ToString("f3") })); lIstModelInfo.Items.Add(new ListViewItem( new string[] { "BaseY", modely.ToString("f3") })); lIstModelInfo.Items.Add(new ListViewItem( new string[] { "BaseAngle", modelangle.ToString("f3") })); lIstModelInfo.Items.Add(new ListViewItem( new string[] { "ContourLength", coutourLen.ToString("f3") })); lIstModelInfo.Items.Add(new ListViewItem( new string[] { "ContourArea", contourArea.ToString("f3") })); modelOrigion = string.Format("{0},{1},{2}", modelx.ToString("f3"), modely.ToString("f3"), modelangle.ToString("f3")); if(coutourLen * 0.8> (double)NumMincoutourLen.Maximum|| contourArea * 0.8> (double)NumMinContourArea.Maximum) { MessageBox.Show("模板创建完成失败,模板区域过大!"); return; } NumMincoutourLen.Value = (decimal)(coutourLen *0.8); NumMaxcoutourLen.Value = (decimal)(coutourLen *1.2); NumMinContourArea.Value = (decimal)(contourArea * 0.8); NumMaxContourArea.Value = (decimal)(contourArea * 1.2); NumMatchValue.Value = (decimal)0.5; MessageBox.Show("模板创建完成!"); } }

c). 模板匹配

多角度轮廓匹配算法,同时通过钜来获取中心,和角度

  //模板匹配 void TestModelMatch() { if (GrabImg == null || GrabImg.Width <= 0) { stuModelMatchData.runFlag = false; MessageBox.Show("未获取图像"); return; } if (templateContour == null) { stuModelMatchData.runFlag = false; MessageBox.Show("模板不存在,请先创建模板!"); return; } runTool = new ShapeMatchTool(); parmaData = new ShapeMatchData(); (parmaData as ShapeMatchData).tpContour = templateContour; (parmaData as ShapeMatchData).Segthreshold = (double)NumSegthreshold.Value; (parmaData as ShapeMatchData).MatchValue = (double)NumMatchValue.Value; (parmaData as ShapeMatchData).MincoutourLen = (int)NumMincoutourLen.Value; (parmaData as ShapeMatchData).MaxcoutourLen = (int)NumMaxcoutourLen.Value; (parmaData as ShapeMatchData).MinContourArea = (int)NumMinContourArea.Value; (parmaData as ShapeMatchData).MaxContourArea = (int)NumMaxContourArea.Value; (parmaData as ShapeMatchData).baseAngle = modelangle; ResultOfToolRun = runTool.Run(GrabImg, parmaData as ShapeMatchData); currvisiontool.clearAll(); currvisiontool.dispImage(ResultOfToolRun.resultToShow); ShapeMatchResult shapeMatchResult = ResultOfToolRun as ShapeMatchResult; if (shapeMatchResult.scores.Count <= 0) { currvisiontool.DrawText(new TextEx("模板匹配失败!") {x=1000,y=10, brush = new SolidBrush(Color.Red) }); currvisiontool.AddTextBuffer(new TextEx("模板匹配失败!") { x = 1000, y = 10, brush = new SolidBrush(Color.Red) }); stuModelMatchData.runFlag = false; return; } currvisiontool.DrawText(new TextEx("得分:" + shapeMatchResult.scores[0].ToString("f3"))); currvisiontool.AddTextBuffer(new TextEx("得分:" + shapeMatchResult.scores[0].ToString("f3"))); currvisiontool.DrawText(new TextEx("偏转角度:" + shapeMatchResult.rotations[0].ToString("f3")) { x = 10, y = 100 }); currvisiontool.AddTextBuffer(new TextEx("偏转角度:" + shapeMatchResult.rotations[0].ToString("f3")) { x = 10, y = 100 }); currvisiontool.DrawText(new TextEx(string.Format("匹配点位X:{0},Y:{1}", shapeMatchResult.positions[0].X.ToString("f3"), shapeMatchResult.positions[0].Y.ToString("f3"))) { x = 10, y = 200 }); currvisiontool.AddTextBuffer(new TextEx(string.Format("匹配点位X:{0},Y:{1}", shapeMatchResult.positions[0].X.ToString("f3"), shapeMatchResult.positions[0].Y.ToString("f3"))) { x = 10, y = 200 }); stuModelMatchData.matchPoint = shapeMatchResult.positions[0]; stuModelMatchData.matchOffsetAngle = shapeMatchResult.rotations[0]; stuModelMatchData.matchScore = shapeMatchResult.scores[0]; stuModelMatchData.runFlag = true; }

3. 关键部位代码如下,包含模板创建,模板多角度匹配等

a)创建形状轮廓模板核心代码如下:

        ///  /// 创建形状轮廓模板 ///  /// 模板图像 ///  分割阈值 /// 模板轮廓 /// 模板轮廓长度 /// 模板轮廓面积 ///  模板轮廓X ///   模板轮廓Y ///    模板轮廓角度 /// 返回绘制图 public Mat CreateTemplateContours(Mat img_template,double Segthreshold, CVRect boundingRect, ref CVPoint[] templateContour, ref double coutourLen, ref double contourArea, ref double modelx,ref double modely,ref double modelangle) { //灰度化 //Mat gray_img_template = new Mat(); //Cv2.CvtColor(img_template, gray_img_template, ColorConversionCodes.BGR2GRAY); //阈值分割 Mat thresh_img_template = new Mat(); Cv2.Threshold(img_template, thresh_img_template, Segthreshold, 255, ThresholdTypes.Binary); //开运算处理,提出白色噪点 Mat ellipse = Cv2.GetStructuringElement(MorphShapes.Ellipse, new Size(3, 3)); Cv2.MorphologyEx(thresh_img_template, thresh_img_template, MorphTypes.Open, ellipse); //Mat cannyMat = new Mat(); //Cv2.Canny(thresh_img_template, cannyMat, Segthreshold, 255); //寻找边界 CVPoint[][] contours_template; //Vector> contours_template=new Vector>(); //Vector hierarchy=new Vector(); //    HierarchyIndex[] hierarchy; Cv2.FindContours(thresh_img_template, out contours_template, out _, RetrievalModes.Tree, ContourApproximationModes.ApproxNone); CVPoint[][] ExceptContours = ContourOperate.ExceptBoundPoints(img_template.BoundingRect(), contours_template); int count = ExceptContours.ToList().Count; List ModelContours=new List(); for (int i=0;i= contourArea&& Cv2.ArcLength(ExceptContours[i],false)>= coutourLen) //if (ExceptContours[i].Length > 30)//至少30点有效 ModelContours.Add(ExceptContours[i]); } ModelContours = ModelContours.OrderByDescending(s => s.Length).ToList(); //绘制边界 Mat dst = new Mat(); Cv2.CvtColor(img_template, dst, ColorConversionCodes.GRAY2BGR); if(ModelContours.Count>0) { Cv2.DrawContours(dst, ModelContours, 0, new Scalar(0, 0, 255)); //获取重心点 Moments M; M = Cv2.Moments(ModelContours[0]); double cX = (M.M10 / M.M00); double cY = (M.M01 / M.M00); float a = (float)(M.M20 / M.M00 - cX * cX); float b = (float)(M.M11 / M.M00 - cX * cY); float c = (float)(M.M02 / M.M00 - cY * cY); //计算角度(0~180) //  double tanAngle = Cv2.FastAtan2(2 * b, (a - c)) / 2; //计算角度2(-90~90) //   double ang = (Math.Atan2(2 * b, (a - c)) * 180 / Math.PI) / 2; //double ang2=  Cv2.MinAreaRect(ModelContours[0]).Angle; //if (tanAngle > 90) //    tanAngle -= 180; //当前轮廓旋转矩 RotatedRect currrect = Cv2.MinAreaRect(ModelContours[0]); //绘制旋转矩形 dst.DrawRotatedRect(currrect, Scalar.Lime); //绘制目标边界 Cv2.DrawContours(dst, ModelContours, 0, new Scalar(0, 0, 255)); //显示目标中心 dst.drawCross(new CVPoint((int)cX, (int)cY), new Scalar(0, 255, 0), 10, 2); // //CVPoint[] HullP = Cv2.ConvexHull(ModelContours[0], true);//顺时针方向 //List HullPList = new List(); //HullPList.Add(HullP); Cv2.Polylines(dst, HullPList, true, Scalar.Red); //Point2f cVPoint = CalBestDisP(new Point2d(cX, cY), HullP); //double ang3 = ang; //if(!(cVPoint.X==0&& cVPoint.Y == 0)) //            { //    //计算角度2(-180~180) //    ang3 = calAngleOfLx(cX, cY, cVPoint.X, cVPoint.Y); //    Cv2.Line(dst, (int)cX, (int)cY, (int)cVPoint.X, (int)cVPoint.Y, Scalar.DarkOrange); //} //轮廓点位 modelx = cX; modely = cY; modelangle = currrect.Angle; //轮廓长度 coutourLen = Cv2.ArcLength(ModelContours[0],false); contourArea = Cv2.ContourArea(ModelContours[0]); templateContour = ModelContours[0]; } else { //轮廓点位 modelx = 0; modely = 0; modelangle = 0; //轮廓长度 coutourLen = 0; contourArea = 0; templateContour =null; } return dst; }

b)形状多角度匹配核心算法如下:

    ///  /// 形状匹配 ///  /// 输入图像 /// 模板轮廓 ///  分割阈值 /// 匹配值 /// 轮廓最小长度 /// 轮廓最大长度 /// 轮廓最小面积 /// 轮廓最大面积 /// 匹配结果 /// 是否使用多模板 /// 返回绘制图 bool ShapeTemplateMatch(Mat image, CVPoint[] imgTemplatecontours, double Segthreshold, double MatchValue, int MincoutourLen, int MaxcoutourLen, double MinContourArea, double MaxContourArea,  double baseAngle, ref ShapeMatchResult shapeMatchResult, bool isMultipleTemplates=false) { //List image_coordinates = new List(); //灰度化 //Mat gray_img=new Mat(); //Cv2.CvtColor(image, gray_img, ColorConversionCodes.BGR2GRAY); Mat dst = new Mat(); Cv2.CvtColor(image, dst, ColorConversionCodes.GRAY2BGR); //阈值分割 Mat thresh_img = new Mat(); Cv2.Threshold(image, thresh_img, Segthreshold, 255, ThresholdTypes.Binary); #region------此处增加与模板创建时候同样的图像处理-------- //开运算处理,提出白色噪点 Mat ellipse = Cv2.GetStructuringElement(MorphShapes.Ellipse, new Size(3, 3)); Cv2.MorphologyEx(thresh_img, thresh_img, MorphTypes.Open, ellipse); #endregion //Mat cannyMat = new Mat(); //Cv2.Canny(thresh_img, cannyMat, Segthreshold, 255); //寻找边界 CVPoint[][] contours_img; //HierarchyIndex[] hierarchy; Cv2.FindContours(thresh_img, out contours_img, out _, RetrievalModes.Tree, ContourApproximationModes.ApproxNone); //根据形状模板进行匹配 int min_pos = -1; double min_value = MatchValue;//匹配分值 List points = contours_img.ToList(); //List angleList = new List(); for (int i = 0; i  MaxContourArea) continue; //轮廓长度不达标 if (Cv2.ArcLength(contours_img[i], false)  MaxcoutourLen) continue; //得到匹配分值 ,值越小相似度越高 double value = Cv2.MatchShapes(contours_img[i], imgTemplatecontours, ShapeMatchModes.I3, 0.0); value = 1 - value; //将匹配分值与设定分值进行比较 if (value >= min_value) { min_pos = i; //将目标的得分都存在数组中 shapeMatchResult.scores.Add(value); //匹配到的轮廓 shapeMatchResult.contours.Add(contours_img[min_pos]); /*----------------*/ } } /*----------------*/ int count = shapeMatchResult.scores.Count; if(count<=0) { shapeMatchResult.resultToShow = dst; shapeMatchResult.exceptionInfo = "模板匹配失败!"; return false; } if (isMultipleTemplates) { for (int j = 0; j s== bestScore); //  double bestangle = shapeMatchResult.rotations[index]; //最佳角度 //    Point2d bestpos = shapeMatchResult.positions[index]; //最佳点位 CVPoint[] bestcontour= shapeMatchResult.contours[index]; //最佳轮廓 //绘制目标边界 Cv2.DrawContours(dst, shapeMatchResult.contours, index, new Scalar(0, 0, 255)); //获取重心点 Moments M = Cv2.Moments(bestcontour); double cX = (M.M10 / M.M00); double cY = (M.M01 / M.M00); float a = (float)(M.M20 / M.M00 - cX * cX); float b = (float)(M.M11 / M.M00 - cX * cY); float c = (float)(M.M02 / M.M00 - cY * cY); //计算角度(0~180) // double tanAngle = Cv2.FastAtan2(2 * b, (a - c)) / 2; //angleList.Add(tanAngle); //计算角度2(-90~90) //double ang = (Math.Atan2(2 * b, (a - c)) * 180 / Math.PI) / 2; #region----角度计算方式2--- //-90~90度 //由于先验目标最小包围矩形是长方形 //因此最小包围矩形的中心和重心的向量夹角为旋转 RotatedRect rect_template = Cv2.MinAreaRect(imgTemplatecontours); RotatedRect rect_search = Cv2.MinAreaRect(bestcontour); //两个旋转矩阵是否同向 float sign = (rect_template.Size.Width - rect_template.Size.Height) * (rect_search.Size.Width - rect_search.Size.Height); float angle=0; if (sign > 0) // 可以直接相减 angle = rect_search.Angle - rect_template.Angle; else angle = (90 + rect_search.Angle) - rect_template.Angle; if (angle > 90) angle -= 180; #endregion //显示目标中心并提取坐标点 dst.drawCross(new CVPoint((int)cX, (int)cY), new Scalar(0, 255, 0), 10, 2); //当前轮廓旋转矩 RotatedRect currrect = Cv2.MinAreaRect(bestcontour); //绘制旋转矩形 dst.DrawRotatedRect(currrect, Scalar.Lime); //CVPoint[] HullP = Cv2.ConvexHull(bestcontour, true);//顺时针方向 //List HullPList = new List(); //HullPList.Add(HullP); //Cv2.Polylines(dst, HullPList, true, Scalar.Red); //Point2f cVPoint = CalBestDisP(new Point2d(cX, cY), HullP); //double ang3 = ang; //if (!(cVPoint.X == 0 && cVPoint.Y == 0)) //{ //    //计算角度2(-180~180) //    ang3 = calAngleOfLx(cX, cY, cVPoint.X, cVPoint.Y); //    Cv2.Line(dst, (int)cX, (int)cY, (int)cVPoint.X, (int)cVPoint.Y, Scalar.DarkOrange); //} //double offsetA = ang3 - baseAngle;//偏转角 //if (offsetA <-180) //    offsetA += 360; //else if (offsetA > 180) //    offsetA -= 360; //得分绘制 //Cv2.PutText(dst, //    string.Format("Score:{0};Angle:{1}", bestScore.ToString("F3"), //              ang3.ToString("F3")), //         new CVPoint(shapeMatchResult.contours[index][0].X + 10, shapeMatchResult.contours[index][0].Y - 10), //                    HersheyFonts.HersheyDuplex, 1, Scalar.Yellow); shapeMatchResult.positions.Clear(); shapeMatchResult.rotations.Clear(); shapeMatchResult.scores.Clear(); shapeMatchResult.contours.Clear(); //将目标的重心坐标都存在数组中 shapeMatchResult.positions.Add(new Point2d(cX, cY));//向数组中存放点的坐标 shapeMatchResult.rotations.Add(angle);//将偏转角度都存在数组中 shapeMatchResult.scores.Add(bestScore);//将目标的得分都存在数组中 shapeMatchResult.contours.Add(bestcontour); //匹配到的轮廓 /*----------------*/ } shapeMatchResult.resultToShow = dst; return true; }

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