指针遍历distanceMat

AccImage/AccImage.csproj

@@ -26,6 +26,7 @@
     <ErrorReport>prompt</ErrorReport>
     <WarningLevel>4</WarningLevel>
     <Prefer32Bit>false</Prefer32Bit>
+    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
   </PropertyGroup>
   <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
     <DebugType>pdbonly</DebugType>

AccImage/ImageUtil.cs

@@ -709,15 +709,15 @@ namespace Acc.Img
         /// <param name="oneBlobWidth"></param>
         /// <param name="oneBlobRadius"></param>
         /// <returns></returns>
-        public static SplitItem findCircleInBlob(ref double[,]  matDistanceArr, CvBlobs blobs, CvBlob blob,  Point2d reelCenter, double oneBlobWidth= -1, double oneBlobRadius = -1)
+        public static SplitItem findCircleInBlob(double[,]  matDistanceArr, CvBlobs blobs, CvBlob blob,  Point2d reelCenter, double oneBlobWidth= -1, double oneBlobRadius = -1)
         {
             SplitItem item = new SplitItem();
             while (true)
             {
                 bool hasFind = false;
-                for (int y = blob.MinY; y < blob.MaxY; y++)
+                for (int x = blob.MinX; x< blob.MaxX; x++)
                 {
-                    for (int x = blob.MinX; x < blob.MaxX; x++)
+                    for (int y = blob.MinY; y < blob.MaxY; y++)
                     {
                         double distance = matDistanceArr[x, y];
                         if (distance > 0)
@@ -726,7 +726,7 @@ namespace Acc.Img
                             if (label != blob.Label)
                             {
                                 //不是当前Blob的像素
-                                matDistanceArr[x, y] = 0;
+                                //matDistanceArr[x, y] = 0;
                                 continue;
                             }
                             if (!item.isEnd)
@@ -787,13 +787,31 @@ namespace Acc.Img
             Mat distanceMat = new Mat();
             Cv2.DistanceTransform(threshMat, distanceMat, DistanceTypes.L2, DistanceMaskSize.Mask3);
             double[,] distanceArr = new double[threshMat.Cols, threshMat.Rows];
+            
+            IntPtr dddd = distanceMat.Data;
+
             Console.WriteLine("Start to distance array");
+            unsafe
+            {
+                Stopwatch sw = new Stopwatch();
+                sw.Start();
                 for (int y = 0; y < threshMat.Rows; y++)
                 {
+                    
                     for (int x = 0; x < threshMat.Cols; x++)
                     {
-                    distanceArr[x,y] = distanceMat.At<float>(y, x);
+                        float* dd = (float*)distanceMat.Ptr(y, x);
+                        distanceArr[x, y] = dd[0];
+                        //float atValue = distanceMat.At<float>(y, x);
+                        //distanceArr[x, y] = atValue;
+                        //if (atValue != dd[0])
+                        //{
+                        //    Console.WriteLine("rho=" + dd[0].ToString() + " atValue=" + atValue);
+                        //}
+                    }
                 }
+                sw.Stop();
+                Console.WriteLine("=" + sw.ElapsedMilliseconds + " ms");
             }
             
             Dictionary<int, SplitItem> blobCircles = new Dictionary<int, SplitItem>();
@@ -838,7 +856,7 @@ namespace Acc.Img
                         maxWidth = blob.Rect.Height;
                     }
 
-                    SplitItem item = findCircleInBlob(ref distanceArr, blobs, blob, reelCenter);
+                    SplitItem item = findCircleInBlob(distanceArr, blobs, blob, reelCenter);
 
                     foreach (Circle c in item.circles)
                     {
@@ -850,7 +868,8 @@ namespace Acc.Img
                     }
                 }
             }
-
+            //放大宽度，防止误判断
+            maxWidth = maxWidth * 1.02;
             Console.WriteLine("Start count");
             int totalCount = 0;
             foreach (CvBlob blob in blobs.Values)
@@ -873,7 +892,7 @@ namespace Acc.Img
                         }
                     }
                     //多个元器件，查找 所有圆
-                    SplitItem item = findCircleInBlob(ref distanceArr, blobs, blob, reelCenter, maxWidth, maxRadius);
+                    SplitItem item = findCircleInBlob(distanceArr, blobs, blob, reelCenter, maxWidth, maxRadius);
                     //对所有圆进行分组
                     List<List<Circle>> groupCircles = item.groupCircles(maxWidth, maxRadius, reelCenter);
                     
@@ -884,11 +903,10 @@ namespace Acc.Img
                         Circle c = groupCircle[0];
                         srcMat.Circle(c.x, c.y, (int)c.radius/2, Scalar.Yellow);
                         totalCount = totalCount + 1;
-                        //Scalar color = Scalar.RandomColor();
-                        //foreach (Circle c in groupCircle)
-                        //{
-                        //    srcMat.Circle(c.x, c.y, (int)c.radius, color);
-                        //}
+                        foreach (Circle cg in groupCircle)
+                        {
+                            srcMat.Circle(cg.x, cg.y, (int)c.radius, color);
+                        }
                     }
                 }
             }

AccImage/SplitItem.cs

@@ -31,7 +31,7 @@ namespace AccImage
             {
                 //与平均半径差值在10%以内，认为OK
                 double diff = avgRadius - currentMaxRadius;
-                if (diff/avgRadius <= 0.2)
+                if (diff/avgRadius <= 0.3)
                 {
                     isValid = true;
                 }