优化定位点查找

App_Code/CommonUse.cs

@@ -399,7 +399,7 @@ public class CommonUse
     {
         VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();//所有的轮廓
         VectorOfVectorOfPoint selected_contours = new VectorOfVectorOfPoint();//用于存储筛选过后的轮廓
-        CvInvoke.FindContours(mat, contours, null, Emgu.CV.CvEnum.RetrType.List,
+        CvInvoke.FindContours(mat, contours, null, Emgu.CV.CvEnum.RetrType.External,
             Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxSimple);//提取所有轮廓，操作过程中会对输入图像进行修改
 
         //筛选轮廓。筛选条件：长宽比大于给定值
@@ -419,12 +419,13 @@ public class CommonUse
             double length = CvInvoke.ArcLength(contours[i], false); //计算连通轮廓的周长
 
             VectorOfPoint approx_curve = new VectorOfPoint();//用于存放逼近的结果
-            CvInvoke.ApproxPolyDP(contours[i], approx_curve, length * 0.02, true);
+            CvInvoke.ApproxPolyDP(contours[i], approx_curve, length * 0.05, true);
 
             //外接矩形宽、高需在给定范围内
             // bool bo = (rect.Width / rect.Height >= ratio && (rect.Width > 3 && rect.Height > 2) && (area > 200 && area <= 4500));
-            bool bo = ((rect.Width > 3 && rect.Height > 2) && (area > 80 && area <= 15000));
+            //bool bo = ((rect.Width > 3 && rect.Height > 2) && (area > 80 && area <= 15000));
             //bool bo = pxNums > 130 && pxNums < 300;
+            bool bo = (approx_curve.Size == 4 && CvInvoke.IsContourConvex(approx_curve) && (rect.Width > 15 && rect.Height > 15) && (area > 550 && area < 2000) && (rect.Width < 50 && rect.Height < 50) && pxNums > 550);
             if (bo)
             {
                 selected_contours.Push(contours[i]);
@@ -1502,6 +1503,46 @@ public class CommonUse
         return bitmap;
     }
 
+
+    /// <summary>
+    /// 过滤红色
+    /// </summary>
+    /// <param name="bitmap"></param>
+    /// <returns></returns>
+    public Bitmap FilterRed(Bitmap bitmap)
+    {
+        CommonUse commonUse = new CommonUse();
+
+        Image<Bgr, byte> src = new Image<Bgr, byte>(bitmap);
+
+        Mat gray = new Mat();
+        CvInvoke.CvtColor(src, gray, ColorConversion.Bgr2Gray);
+
+
+        VectorOfMat channels = new VectorOfMat();
+        CvInvoke.Split(src, channels);
+        if (channels.Size < 3)
+        {
+            return bitmap;
+        }
+        Mat red = channels[2];
+        //commonUse.ShowMatWaitKey("red", red, 0.5);
+
+        Mat redBinary = new Mat();
+        CvInvoke.Threshold(red, redBinary, 150, 255, ThresholdType.Binary);
+        //commonUse.ShowMatWaitKey("red+binary", redBinary, 0.5);
+
+        //Mat redDilate = new Mat();
+        //Mat kernel = CvInvoke.GetStructuringElement(ElementShape.Rectangle, new Size(2, 2), new Point(-1, -1));
+        //CvInvoke.Dilate(redBinary, redDilate, kernel, new Point(-1, -1), 1, BorderType.Default, new MCvScalar(0, 0, 0));
+
+        //kernel = CvInvoke.GetStructuringElement(ElementShape.Ellipse, new Size(2, 2), new Point(-1, -1));
+        //CvInvoke.MorphologyEx(redBinary, redDilate, MorphOp.Open, kernel, new Point(-1, -1), 1, BorderType.Default, new MCvScalar(0, 0, 0));
+        //commonUse.ShowMatWaitKey("redDilate", redDilate, 0.5);
+
+        return redBinary.Bitmap;
+    }
+
 }
 
 

Temp/Default.aspx.cs

@@ -334,16 +334,16 @@ public partial class 外部答题卡_Default : System.Web.UI.Page
                 PictureBoxBitMap = ScaleToSize(PictureBoxBitMap, width, height);
                 Image<Gray, byte> currentFramext = new Image<Gray, byte>(PictureBoxBitMap);
 
-                Image<Bgr, byte> myImage = new Image<Bgr, byte>(PictureBoxBitMap);
+                Image<Gray, byte> myImage = new Image<Gray, byte>(commonUse.FilterRed(PictureBoxBitMap));
                 // 进行中值滤波
-                CvInvoke.MedianBlur(myImage, myImage, 11);
+                CvInvoke.MedianBlur(myImage, myImage, 5);
                 // 进行高斯滤波
-                CvInvoke.GaussianBlur(myImage, myImage, new Size(0, 0), 3);
+                CvInvoke.GaussianBlur(myImage, myImage, new Size(5, 5), 0);
 
                 // 去除定位点周围噪点
-                Image<Bgr, byte> blur = myImage.AddWeighted(myImage, 1.9, -0.5, 0);
+                //Image<Bgr, byte> blur = myImage.AddWeighted(myImage, 1.9, -0.5, 0);
 
-                Bitmap bm_dest = blur.Bitmap;
+                Bitmap bm_dest = myImage.Bitmap;
                 Image<Gray, byte> EmguImagex1 = new Image<Gray, byte>(bm_dest);
                 Mat mat_threshold1 = new Mat();
                 CvInvoke.Threshold(EmguImagex1, mat_threshold1, 180, 255, Emgu.CV.CvEnum.ThresholdType.BinaryInv);

Temp/UserTemp.aspx.cs

@@ -113,13 +113,14 @@ public partial class Temp_UserTemp : System.Web.UI.Page
         TempID = Globals.Request("TempID") == "" ? 0 : Convert.ToInt32(Globals.Request("TempID"));//获取小模板ID
         string totalHtml = Server.UrlDecode(Globals.Request("totalHtml"));
         string Rotate_float = Globals.Request("roteDY");
-        string sql = "Update MK_TempleteDataUser SET TempValue_nvarchar=@TempValue_nvarchar,Rotate_float=@Rotate_float where DetaID_bigint=" + TempID + " AND UserID_bigint="+ Convert.ToInt64(UserID);
+        string sql = "Update MK_TempleteDataUser SET TempValue_nvarchar=@TempValue_nvarchar,Rotate_float=@Rotate_float where DetaID_bigint=" + TempID + " AND UserID_bigint=" + Convert.ToInt64(UserID);
         MySqlParameter[] sp = new MySqlParameter[] {
                 new MySqlParameter("@TempValue_nvarchar",totalHtml),
             new MySqlParameter("@Rotate_float",Rotate_float),
             };
 
-        if (new MysqlDBHelper(tenant).ExecuteNoQuery(sql, sp) == 1) {
+        if (new MysqlDBHelper(tenant).ExecuteNoQuery(sql, sp) == 1)
+        {
             AnsyTemp(Convert.ToInt64(UserID), TempID);
         }
     }
@@ -171,10 +172,15 @@ public partial class Temp_UserTemp : System.Web.UI.Page
                 CommonUse commonUse = new CommonUse();
                 Mat mat_threshold1 = new Mat();
 
+                Image<Gray, byte> zaodianPic = new Image<Gray, byte>(commonUse.FilterRed(PictureBoxBitMap));
+                // 去除定位点周围噪点 
+                CvInvoke.MedianBlur(zaodianPic, zaodianPic, 5);
+                //commonUse.ShowMatWaitKey("zaodianPic zaodianPic", zaodianPic.Mat, 0.6);
+                CvInvoke.GaussianBlur(zaodianPic, zaodianPic, new Size(5, 5), 0);
 
 
 
-                CvInvoke.Threshold(imagex, mat_threshold1, 180, 255, Emgu.CV.CvEnum.ThresholdType.BinaryInv);
+                CvInvoke.Threshold(zaodianPic, mat_threshold1, 180, 255, Emgu.CV.CvEnum.ThresholdType.BinaryInv);
                 Mat mat_dilate1 = commonUse.MyDilate(mat_threshold1);
                 VectorOfVectorOfPoint selected_contours1;
                 selected_contours1 = commonUse.GetUsefulContoursDingWei(mat_dilate1, 1);
@@ -234,7 +240,7 @@ public partial class Temp_UserTemp : System.Web.UI.Page
     {
 
         WebRequest imgRequest = WebRequest.Create(url);
-        HttpWebResponse res=null;
+        HttpWebResponse res = null;
 
         try
         {
@@ -252,7 +258,8 @@ public partial class Temp_UserTemp : System.Web.UI.Page
         {
             return null;
         }
-        finally {
+        finally
+        {
             res.Dispose();
             imgRequest.Abort();
             res.Close();