MARKUS

                //Cv2.EqualizeHist(OriginalImageData, OriginalImageData);

                //Cv2.EqualizeHist(TargatImageData, TargatImageData);

                //Cv2.GaussianBlur(OriginalImageData, OriginalImageData, new OpenCvSharp.Size(5, 5), 0);

                //Cv2.GaussianBlur(TargatImageData, TargatImageData, new OpenCvSharp.Size(5, 5), 0);

                // Canny 엣지 검출 적용

                Mat outputData = new Mat(TargatImageData.Size(), MatType.CV_8UC1);

        protected System.Drawing.Bitmap GetContoursImage(Mat data,Size resultSize,Color RectColor)

        {

            System.Drawing.Bitmap result = null;

            try

            {

                OpenCvSharp.Mat transparentImage = new OpenCvSharp.Mat(new OpenCvSharp.Size(resultSize.Width, resultSize.Height), OpenCvSharp.MatType.CV_8UC4, new OpenCvSharp.Scalar(0, 0, 0, 0));

                // 컨투어를 찾기 위한 변수 선언

                OpenCvSharp.HierarchyIndex[] hierarchy;

                OpenCvSharp.Point[][] contours;

                OpenCvSharp.Point testpoint = new OpenCvSharp.Point();

                OpenCvSharp.Cv2.Threshold(data, data, 50, 255, OpenCvSharp.ThresholdTypes.BinaryInv);

                // 이진화된 이미지에서 컨투어 찾기

                OpenCvSharp.Cv2.FindContours(data, out contours, out hierarchy, OpenCvSharp.RetrievalModes.List, OpenCvSharp.ContourApproximationModes.ApproxNone, testpoint);

                // OpenCvSharp.Scalar(B,G,R,A)

                // 컨투어 그리기

                OpenCvSharp.Cv2.DrawContours(transparentImage, contours, -1, new OpenCvSharp.Scalar(RectColor.B, RectColor.G, RectColor.R, RectColor.A), 10);

                // Mat을 Bitmap으로 변환

                result = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(transparentImage);

            }

            catch (Exception ex)

            {

                throw new Exception("GetContoursImage Error.",ex);

            }

            finally

            {

            }

            return result;

        }