分水岭参数问题

Question

链接图片-> https://pbs.twimg.com/media/D4dubkYWkBgojS4.png

我尝试进行相关的转换，但是在尝试检测肾脏肿瘤时的结果不是预期的。...我将非常有帮助的答案...非常感谢。

我正在尝试使用opencvsharp选择肾脏的肿瘤区域 在图像中，我显示了从图像中获得的结果，并用红色标记了我想要获得的真实区域

var COMP = new Mat();
                   var src = new Mat(openFileDialog1.FileName, ImreadModes.AnyDepth | ImreadModes.AnyColor);

                   src.CopyTo(COMP);
                   var srcCopy = new Mat();
                   var fg = new Mat();
                   var bgt = new Mat();
                   src.CopyTo(srcCopy);

                   var markerMask = new Mat();
                   var mar = new Mat();
                   Cv2.CvtColor(srcCopy, markerMask, ColorConversionCodes.BGRA2GRAY);
                   Cv2.EqualizeHist(markerMask, markerMask);
                   Cv2.ImShow("dede1", markerMask);
                   Cv2.Threshold(markerMask, markerMask, 2,255, ThresholdTypes.Binary | ThresholdTypes.Otsu );
                   Cv2.ImShow("dede2", markerMask);
                   Cv2.Erode(markerMask, fg, null, null, 2);

                   Cv2.Dilate(markerMask, bgt, null, null, 3);
                   Cv2.Threshold(bgt, bgt, 2, 128, ThresholdTypes.BinaryInv);
                   bgt = bgt + fg;
                   bgt.CopyTo(mar);
                   Cv2.CvtColor(mar, mar, ColorConversionCodes.GRAY2BGR);

                   COMP.Add(mar);


                   ////////////////////////////////////////


                   Point[][] contours; //vector<vector<Point>> contours;
                   HierarchyIndex[] hierarchyIndexes; //vector<Vec4i> hierarchy;
                   Cv2.FindContours(
                      bgt,
                       out contours,
                       out hierarchyIndexes,
                       mode: RetrievalModes.CComp,
                       method: ContourApproximationModes.ApproxSimple);



                   var markers = new Mat(bgt.Size(), MatType.CV_32S, s: Scalar.All(0));

                   var componentCount = 0;
                   var contourIndex = 0;
                   while ((contourIndex >= 0))
                   {
                       Cv2.DrawContours(
                           markers,
                           contours,
                           contourIndex,
                           color: Scalar.All(componentCount + 1),
                           thickness: -1,
                           lineType: LineTypes.Link8,
                           hierarchy: hierarchyIndexes,
                           maxLevel: int.MaxValue);

                       componentCount++;
                       contourIndex = hierarchyIndexes[contourIndex].Next;
                   }

                   var rnd = new Random();

                   var colorTable = new List<Vec3b>();
                   for (var i = 0; i < componentCount; i++)
                   {

                       var b = rnd.Next(0, 255); //Cv2.TheRNG().Uniform(0, 255);
                       var g = rnd.Next(0, 255); //Cv2.TheRNG().Uniform(0, 255);
                       var r = rnd.Next(0, 255); //Cv2.TheRNG().Uniform(0, 255);

                       colorTable.Add(new Vec3b((byte)b, (byte)g, (byte)r));
                   }

                   Cv2.Watershed(src, markers);

                   var watershedImage = new Mat(markers.Size(), MatType.CV_8UC3);

                   // paint the watershed image
                   for (var i = 0; i < markers.Rows; i++)
                   {
                       for (var j = 0; j < markers.Cols; j++)
                       {
                           var idx = markers.At<int>(i, j);
                           if (idx == -1)
                           {
                               watershedImage.Set(i, j, new Vec3b(255, 255, 255));
                           }
                           else if (idx <= 0 || idx > componentCount)
                           {
                               watershedImage.Set(i, j, new Vec3b(0, 0, 0));
                           }
                           else
                           {
                               watershedImage.Set(i, j, colorTable[idx - 1]);
                           }
                       }
                   }
                   var imgGray = new Mat();
                   Cv2.CvtColor(markerMask, imgGray, ColorConversionCodes.GRAY2BGR);
                   watershedImage = watershedImage * 0.5 + imgGray * 0.5;
                   COMP.Add(watershedImage);

                   Cv2.CvtColor(watershedImage, watershedImage, ColorConversionCodes.RGB2GRAY);
                   Cv2.Threshold(watershedImage, watershedImage, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
                //   COMP.Add(watershedImage);
                   Cv2.ImWrite("D:\\ima1.JPG", COMP);
                   Cv2.ImWrite("D:\\IM1.PNG", watershedImage);


                   var aux1 = new Mat();
                   watershedImage.CopyTo(aux1);

                   for (var i = 0; i < markers.Rows; i++)
                   {
                       for (var j = 0; j < markers.Cols; j++)
                       {
                           var idx = markers.At<int>(i, j);
                           if (idx == -1)
                           {
                               watershedImage.Set(i, j, new Vec3b(0, 255, 255));
                           }
                           else if (idx <= 0 || idx > componentCount)
                           {
                               watershedImage.Set(i, j, new Vec3b(0, 255, 255));
                           }
                           else
                           {
                               watershedImage.Set(i, j, new Vec3b(255, 0, 0));
                           }
                       }


                   }
                   Cv2.ImShow("Watershed Transform 2", watershedImage);
                   Cv2.ImWrite("D:\\trnas.png", watershedImage);
                  // aux1 = aux1.GreaterThanOrEqual(watershedImage);

                   // Cv2.CvtColor(watershedImage, watershedImage, ColorConversionCodes.BGRA2GRAY);
                   // Cv2.Threshold(watershedImage, watershedImage, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
                   Cv2.ImShow("Watershed Transform", aux1);

                   Cv2.WaitKey(100000); //do eventsenter image description here