using Aurora;
using Aurora.Api;
using Aurora.View;
using CoreUnit.Control.UserControl.Canvas;
using CoreUnit.Scanner.UserControl.ScannerCanvas;
using Microsoft.Win32;
using OpenCvSharp;
using OpenCvSharp.WpfExtensions;
using System;
using System.Collections.Generic;
using System.Collections.ObjectModel;
using System.ComponentModel;
using System.Configuration;
using System.Diagnostics;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Input;
using System.Windows.Media.Imaging;
using WeldingCommon.Settings;
using WeldingCommon.Utils;
using WeldingCommon.Vision.WeldingObjectGenerator;
using static CoreUnit.Control.UserControl.Canvas.ZigZag;
using WeldingCommon.Vision.WeldingObjectGenerator.PathEditorLibrary;
using WeldingCommon.Data;
using System.Windows.Forms.VisualStyles;
using VisionCommon;
using WeldingCommon.Sequences;
using System.Xml.XPath;
using Point = OpenCvSharp.Point;
using Arc = CoreUnit.Control.UserControl.Canvas.Arc;
using System.Reactive.Concurrency;
using WeldingCommon.Recipes;
using static System.Windows.Forms.VisualStyles.VisualStyleElement.Window;
using Aurora.Api.Devices;
using MilUI;
using Matrox.MatroxImagingLibrary;

namespace WeldingCommon.Views
{
    using Path = System.IO.Path;
    using TPolygon = List<Vision.WeldingObjectGenerator.GeometryLibrary.TPoint>;

    public class UCManualRCCOperationViewModel : NotifyPropertyChangedBase
    {
        private readonly Logger Log = new Logger("UCManualRCCOperationViewModel");

        public ICommand CMD_VisibleChanged { get; }
        public ICommand CMD_LoadImage { get; }
        public ICommand CMD_SaveImage { get; }
        public ICommand CMD_SaveCSV { get; }

        // SMW
        public ICommand CMD_CheckRadiusImage { get; }
        public ICommand CMD_DetectEdgeImage { get; }
        public ICommand CMD_GenerateDrawingObject { get; }
        public ICommand CMD_UpdateRecipeObjectRCC { get; }
        public ICommand CMD_FindReferenceCenter { get; }
        public ICommand CMD_SaveOffsetTable { get; }
        public ICommand CMD_UpdateOffsetTable { get; }
        public ICommand CMD_SaveCenterRadius { get; }

        // Inzi, LFW
        public ICommand CMD_FindReference { get; }
        public ICommand CMD_FindObjectOffset { get; }
        public ICommand CMD_UpdateRecipeObject { get; }

        public ICommand CMD_RecommendEdgeDetectParams { get; }
        public ICommand CMD_CenterDetectTest { get; }
        public ICommand CMD_SaveSystemParameter { get; }

        public ICommand CMD_RunManualRunRCC { get; }
        public ICommand CMD_StopManualRunRCC { get; }
        public ICommand CMD_CellGenTypeChanged { get; }


        private readonly IAuroraEnvironment _Aurora;
        private SystemParameter _SystemParameter;

        private ISequence _SeqManualRunRCC;

        private bool _IsSequenceRunning_ManualRunRCC;
        public bool IsSequenceRunning_ManualRunRCC { get => _IsSequenceRunning_ManualRunRCC; set => SetProperty(ref _IsSequenceRunning_ManualRunRCC, value); }

        private WinSequenceDiagram _WinSequenceDiagramManualRunRCC;

        public ObservableCollection<string> OptionList { get; set; } = new ObservableCollection<string>();
        private string _SelectedOption;
        public string SelectedOption
        {
            get { return _SelectedOption; }
            set
            {
                _SelectedOption = value;
                //OnPropertyChanged(nameof(_SelectedOption));
                if (_SelectedOption == "SMW")
                {
                    IsSelectedOptionSMW = true;
                    IsSelectedOptionInzi = false;
                    IsSelectedOptionLFW = false;
                    IsSelectedOptionKS = false;

                }
                else if (_SelectedOption == "Inzi")
                {
                    IsSelectedOptionSMW = false;
                    IsSelectedOptionInzi = true;
                    IsSelectedOptionLFW = false;
                    IsSelectedOptionKS = false;

                }
                else if (_SelectedOption == "LFW")
                {
                    IsSelectedOptionSMW = false;
                    IsSelectedOptionInzi = false;
                    IsSelectedOptionLFW = true;
                    IsSelectedOptionKS = false;
                }
                else if (_SelectedOption == "KS")
                {
                    IsSelectedOptionSMW = false;
                    IsSelectedOptionInzi = false;
                    IsSelectedOptionLFW = false;
                    IsSelectedOptionKS = true;
                }
                else if (_SelectedOption == "Flangeless")
                {
                    IsSelectedOptionSMW = false;
                    IsSelectedOptionInzi = false;
                    IsSelectedOptionLFW = false;
                    IsSelectedOptionKS = true;
                }
            }
        }

        private bool _IsSelectedOptionSMW;
        public bool IsSelectedOptionSMW { get => _IsSelectedOptionSMW; set => SetProperty(ref _IsSelectedOptionSMW, value); }
        private bool _IsSelectedOptionInzi;
        public bool IsSelectedOptionInzi { get => _IsSelectedOptionInzi; set => SetProperty(ref _IsSelectedOptionInzi, value); }
        private bool _IsSelectedOptionLFW;
        public bool IsSelectedOptionLFW { get => _IsSelectedOptionLFW; set => SetProperty(ref _IsSelectedOptionLFW, value); }
        private bool _IsSelectedOptionKS;
        public bool IsSelectedOptionKS { get => _IsSelectedOptionKS; set => SetProperty(ref _IsSelectedOptionKS, value); }

        private Stopwatch _Stopwatch;

        private double _ImageWidth;
        private double _ImageHeight;

        private string _LoadImagePath;
        private Mat _OriginImageMat;
        private Mat _OriginImageMat2;
        private BitmapSource _OriginImage;
        private BitmapSource _OriginImage2;
        public BitmapSource OriginImage { get => _OriginImage; set => SetProperty(ref _OriginImage, value); }
        private BitmapSource _CroppedImageL;
        public BitmapSource CroppedImageL { get => _CroppedImageL; set => SetProperty(ref _CroppedImageL, value); }
        private BitmapSource _CroppedImageR;
        public BitmapSource CroppedImageR { get => _CroppedImageR; set => SetProperty(ref _CroppedImageR, value); }

        private Mat _MaskedImageMat;
        private BitmapSource _MaskedImage;
        public BitmapSource MaskedImage { get => _MaskedImage; set => SetProperty(ref _MaskedImage, value); }

        private Mat _ConvertImageMat;
        private Mat _ConvertImageMat2;
        private Mat _DetectImageMat;

        private BitmapSource _ResultImage;
        public BitmapSource ResultImage { get => _ResultImage; set => SetProperty(ref _ResultImage, value); }

        private static ScannerCanvasUserCtrl _ScannerCanvasUserCtrl;
        private List<IDrawObject> _RecipeDrawObejct;

        private ObjectGenerator _ObjectGenerator;

        private double _CVThreshold;
        public double CVThreshold { get => _CVThreshold; set => SetProperty(ref _CVThreshold, value); }
        private int _CVShrinkPixel;
        public int CVShrinkPixel { get => _CVShrinkPixel; set => SetProperty(ref _CVShrinkPixel, value); }
        private int _CVShrinkPixel2;
        public int CVShrinkPixel2 { get => _CVShrinkPixel2; set => SetProperty(ref _CVShrinkPixel2, value); }
        private int _CVShrinkPixel3;
        public int CVShrinkPixel3 { get => _CVShrinkPixel3; set => SetProperty(ref _CVShrinkPixel3, value); }
        private int _CVShrinkPixel4;
        public int CVShrinkPixel4 { get => _CVShrinkPixel4; set => SetProperty(ref _CVShrinkPixel4, value); }

        private double _Radius;
        public double Radius { get => _Radius; set => SetProperty(ref _Radius, value); }
        private int _Margin;
        public int Margin { get => _Margin; set => SetProperty(ref _Margin, value); }
        private int _PointNum;
        public int PointNum { get => _PointNum; set => SetProperty(ref _PointNum, value); }
        public bool _EnableAutoMissAlign;
        public bool EnableAutoMissAlign { get => _EnableAutoMissAlign; set => SetProperty(ref _EnableAutoMissAlign, value); }
        private double _DetectPointPercent;
        public double DetectPointPercent { get => _DetectPointPercent; set => SetProperty(ref _DetectPointPercent, value); }
        private double _CVRadiusMargin;
        public double CVRadiusMargin { get => _CVRadiusMargin; set => SetProperty(ref _CVRadiusMargin, value); }
        private int _CVThresholdCircle1;
        public int CVThresholdCircle1 { get => _CVThresholdCircle1; set => SetProperty(ref _CVThresholdCircle1, value); }
        private int _CVThresholdCircle2;
        public int CVThresholdCircle2 { get => _CVThresholdCircle2; set => SetProperty(ref _CVThresholdCircle2, value); }
        private int _CVThresholdCircle3;
        public int CVThresholdCircle3 { get => _CVThresholdCircle3; set => SetProperty(ref _CVThresholdCircle3, value); }
        private int _CVThresholdCircle4;
        public int CVThresholdCircle4 { get => _CVThresholdCircle4; set => SetProperty(ref _CVThresholdCircle4, value); }
        private int _CVThresholdCircle5;
        public int CVThresholdCircle5 { get => _CVThresholdCircle5; set => SetProperty(ref _CVThresholdCircle5, value); }
        private int _CVThresholdCircle6;
        public int CVThresholdCircle6 { get => _CVThresholdCircle6; set => SetProperty(ref _CVThresholdCircle6, value); }
        private int _CVThresholdSpiral1;
        public int CVThresholdSpiral1 { get => _CVThresholdSpiral1; set => SetProperty(ref _CVThresholdSpiral1, value); }
        private int _CVThresholdSpiral2;
        public int CVThresholdSpiral2 { get => _CVThresholdSpiral2; set => SetProperty(ref _CVThresholdSpiral2, value); }
        private int _CVSearchSize;
        public int CVSearchSize { get => _CVSearchSize; set => SetProperty(ref _CVSearchSize, value); }
        private int _CVThresholdLine1;
        public int CVThresholdLine1 { get => _CVThresholdLine1; set => SetProperty(ref _CVThresholdLine1, value); }
        private int _CVThresholdLine2;
        public int CVThresholdLine2 { get => _CVThresholdLine2; set => SetProperty(ref _CVThresholdLine2, value); }
        private int _CVJigSize;
        public int CVJigSize { get => _CVJigSize; set => SetProperty(ref _CVJigSize, value); }
        private int _CVMorpIterations;
        public int CVMorpIterations { get => _CVMorpIterations; set => SetProperty(ref _CVMorpIterations, value); }
        private int _CVMorpMaskSize;
        public int CVMorpMaskSize { get => _CVMorpMaskSize; set => SetProperty(ref _CVMorpMaskSize, value); }
        private double _MILThreshold;
        public double MILThreshold { get => _MILThreshold; set => SetProperty(ref _MILThreshold, value); }
        private double _MILFillGapDist;
        public double MILFillGapDist { get => _MILFillGapDist; set => SetProperty(ref _MILFillGapDist, value); }
        private double _MILShrinkDist;
        public double MILShrinkDist { get => _MILShrinkDist; set => SetProperty(ref _MILShrinkDist, value); }
        private double _CVInnerCircleSize;
        public double CVInnerCircleSize { get => _CVInnerCircleSize; set => SetProperty(ref _CVInnerCircleSize, value); }
        private double _CVOuterCircleSize;
        public double CVOuterCircleSize { get => _CVOuterCircleSize; set => SetProperty(ref _CVOuterCircleSize, value); }
        private double _DrawObjectDistanceRange;
        public double DrawObjectDistanceRange { get => _DrawObjectDistanceRange; set => SetProperty(ref _DrawObjectDistanceRange, value); }
        private double _DrawObjectLengthSumDiffRange;
        public double DrawObjectLengthSumDiffRange { get => _DrawObjectLengthSumDiffRange; set => SetProperty(ref _DrawObjectLengthSumDiffRange, value); }
        private double _DrawObjectArcLengthMax;
        public double DrawObjectArcLengthMax { get => _DrawObjectArcLengthMax; set => SetProperty(ref _DrawObjectArcLengthMax, value); }
        private double _DrawObjectCenterXYDiffRange;
        public double DrawObjectCenterXYDiffRange { get => _DrawObjectCenterXYDiffRange; set => SetProperty(ref _DrawObjectCenterXYDiffRange, value); }
        private int _MaxMinDiffHigh;
        public int MaxMinDiffHigh { get => _MaxMinDiffHigh; set => SetProperty(ref _MaxMinDiffHigh, value); }
        private int _MaxMinDiffLow;
        public int MaxMinDiffLow { get => _MaxMinDiffLow; set => SetProperty(ref _MaxMinDiffLow, value); }
        private int _CheckCenterDiff;
        public int CheckCenterDiff { get => _CheckCenterDiff; set => SetProperty(ref _CheckCenterDiff, value); }
        private int _DistortionCenterDiff;
        public int DistortionCenterDiff { get => _DistortionCenterDiff; set => SetProperty(ref _DistortionCenterDiff, value); }
        private bool _IsRepeatEdgeDetectMode;
        public bool IsRepeatEdgeDetectMode { get => _IsRepeatEdgeDetectMode; set => SetProperty(ref _IsRepeatEdgeDetectMode, value); }
        private double _CellRadiusOffset;
        public double CellRadiusOffset { get => _CellRadiusOffset; set => SetProperty(ref _CellRadiusOffset, value); }

        private Point _CenterPoint;
        private Point[][] _MaxContour;
        private Point[][] _MaxContour2;
        private UnitPoint _DetectedContourCenter;
        private UnitPoint _DetectedContourCenter2;
        private List<IDrawObject> _DestDrawObjects;
        private List<IDrawObject> _DestDrawObjects2;
        private Point[][] _MinContour;
        private Point[][] _EdgePoints;
        private Mat _CroppedImage1;
        private Mat _CroppedImage2;
        private List<PathItem> _Paths;
        private List<PathItem> _Paths2;
        private List<Arc> _SelectedArcs;

        private Arc.eDirection _DrawArcDirection;
        private string CellType = "Single";

        private int _Ref_X, _Ref_Y;
        private double _Ref_T;
        private double _ReferenceX;
        public double ReferenceX { get => _ReferenceX; set => SetProperty(ref _ReferenceX, value); }
        private double _ReferenceY;
        public double ReferenceY { get => _ReferenceY; set => SetProperty(ref _ReferenceY, value); }
        private double _ReferenceTheta;
        public double ReferenceTheta { get => _ReferenceTheta; set => SetProperty(ref _ReferenceTheta, value); }

        private double _Offset_X, _Offset_Y, _Offset_T;
        private double _OffsetX;
        public double OffsetX { get => _OffsetX; set => SetProperty(ref _OffsetX, value); }
        private double _OffsetY;
        public double OffsetY { get => _OffsetY; set => SetProperty(ref _OffsetY, value); }
        private double _OffsetTheta;
        public double OffsetTheta { get => _OffsetTheta; set => SetProperty(ref _OffsetTheta, value); }

        private UnitPoint _ObjectCenter;

        // Support ContourCorrectionInfoList Selection.
        private ObservableCollection<ContourCorrectionInfo> _SelectedContourCorrectionInfoList = new ObservableCollection<ContourCorrectionInfo>();
        public ObservableCollection<ContourCorrectionInfo> SelectedContourCorrectionInfoList { get => _SelectedContourCorrectionInfoList; set => SetProperty(ref _SelectedContourCorrectionInfoList, value); }

        private ObservableCollection<ContourCorrectionInfo> _ContourCorrectionInfoList = new ObservableCollection<ContourCorrectionInfo>();
        public ObservableCollection<ContourCorrectionInfo> ContourCorrectionInfoList { get => _ContourCorrectionInfoList; set => SetProperty(ref _ContourCorrectionInfoList, value); }

        private bool _IsOffsetTypeManual;
        public bool IsOffsetTypeManual
        {
            get => _IsOffsetTypeManual;
            set
            {
                SetProperty(ref _IsOffsetTypeManual, value);
                if (_IsOffsetTypeManual == true)
                {
                    _ObjectGenerator.SetOffsetType("Manual");
                }
                else
                {
                    _ObjectGenerator.SetOffsetType("Table");
                }
            }

        }

        public class ContourCorrectionInfo
        {
            public int Index { get; set; }
            public float VisionX { get; set; }
            public float VisionY { get; set; }
            //public int ScannerX { get; set; }
            //public int ScannerY { get; set; }
        }

        private string _VisionType = "OpenCV";


        private List<PathItem> _PathItemList;

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

        private bool _IsArcByAngle;
        public bool IsArcByAngle { get => _IsArcByAngle; set => SetProperty(ref _IsArcByAngle, value); }



        private string _ObjectGenType = "Auto";

        private double _MergeDist;
        public double MergeDist { get => _MergeDist; set => SetProperty(ref _MergeDist, value); }
        private uint _MaxArcRadius;
        public uint MaxArcRadius { get => _MaxArcRadius; set => SetProperty(ref _MaxArcRadius, value); }
        private uint _LineTolerance;
        public uint LineTolerance { get => _LineTolerance; set => SetProperty(ref _LineTolerance, value); }
        private uint _ArcTolerance;
        public uint ArcTolerance { get => _ArcTolerance; set => SetProperty(ref _ArcTolerance, value); }
        private float _LineDefualtWidth;
        public float LineDefualtWidth { get => _LineDefualtWidth; set => SetProperty(ref _LineDefualtWidth, value); }
        private int _ObjectNumber;
        public int ObjectNumber { get => _ObjectNumber; set => SetProperty(ref _ObjectNumber, value); }


        public UCManualRCCOperationViewModel(IAuroraEnvironment aurora)
        {
            _Aurora = aurora;
            _SystemParameter = aurora.SettingEntry[CommonSettingIds.SystemParameter] as SystemParameter;

            _SeqManualRunRCC = _Aurora.SequenceEntry[CommonSequenceIds.SeqManualRunRCC];
            IsSequenceRunning_ManualRunRCC = false;

            CMD_LoadImage = new DelegateCommand(PerformCmdLoadImage);
            CMD_SaveImage = new DelegateCommand(PerformCmdSaveImage);
            CMD_SaveCSV = new DelegateCommand(PerformCmdSaveCSV);

            // SMW
            CMD_CheckRadiusImage = new DelegateCommand(PerformCmdCheckRadiusImage);
            CMD_DetectEdgeImage = new DelegateCommand(PerformCmdDetectEdgeImage);
            CMD_GenerateDrawingObject = new DelegateCommand(PerformCmdGenerateDrawingObject);
            CMD_UpdateRecipeObjectRCC = new DelegateCommand(PerformCmdUpdateRecipeObjectRCC);
            CMD_FindReferenceCenter = new DelegateCommand(PerfomCmdFindReferenceCenter);
            CMD_SaveOffsetTable = new DelegateCommand(PerformCmdSaveOffsetTable);
            CMD_UpdateOffsetTable = new DelegateCommand(PerformCmdUpdateOffsetTable);
            CMD_SaveCenterRadius = new DelegateCommand(PerformCmdSaveCenterRadius);

            // Inzi, LFW
            CMD_FindReference = new DelegateCommand(PerformCmdFindReference);
            CMD_FindObjectOffset = new DelegateCommand(PerformCmdFindObjectOffset);
            CMD_UpdateRecipeObject = new DelegateCommand(PerformCmdUpdateRecipeObject);

            CMD_RecommendEdgeDetectParams = new DelegateCommand(PerformCmdRecommendEdgeDetectParams);
            CMD_CenterDetectTest = new DelegateCommand(PerformCmdCenterDetectTest);
            CMD_SaveSystemParameter = new DelegateCommand(PerformCmdSaveSystemParameter);

            CMD_RunManualRunRCC = new DelegateCommand(PerformCmdRunManualRunRCC);
            CMD_StopManualRunRCC = new DelegateCommand(PerformCmdStopManualRunRCC);

            CMD_CellGenTypeChanged = new DelegateCommand(OnCellGenTypeChanged);

            InitVariable();


        }
        private void InitVariable()
        {
            _Stopwatch = new Stopwatch();

            OptionList = new ObservableCollection<string> { "SMW", "Inzi", "LFW", "KS", "Flangeless" };
            SelectedOption = OptionList[3];

            var pixelResolution = ((_SystemParameter.CameraPixelSize) / _SystemParameter.LensMagnification) / 1000.0;
            _ObjectGenerator = new ObjectGenerator(pixelResolution);
            if (_SystemParameter.OffsetType == eOffsetType.manual)
            {
                _ObjectGenerator.SetOffsetType("Manual");
            }
            else
            {
                _ObjectGenerator.SetOffsetType("CSV");
            }

            if (_SystemParameter.OffsetCSVFile != null)
            {
                _ObjectGenerator.SetOffsetTable(_SystemParameter.OffsetCSVFile, _SystemParameter.LensMagnification, _SystemParameter.CameraPixelSize);
            }
            else
            {
                Log.W("Not exist CSV OffsetTable of Systemparameter");
            }

            // EdgeDetect Param
            CVThreshold = _SystemParameter.CVThreshold;
            //CVMorpIterations = _SystemParameter.CVMorpIterations;
            //CVMorpMaskSize = _SystemParameter.CVMorpMaskSize;
            CVShrinkPixel = _SystemParameter.CVShrinkPixel;
            CVShrinkPixel2 = _SystemParameter.CVShrinkPixel2;
            CVShrinkPixel3 = _SystemParameter.CVShrinkPixel3;
            CVShrinkPixel4 = _SystemParameter.CVShrinkPixel4;
            Radius = _SystemParameter.Radius;
            Margin = _SystemParameter.Margin;
            PointNum = _SystemParameter.PointNum;
            DetectPointPercent = _SystemParameter.DetectPointPercent; // %
            CVJigSize = _SystemParameter.CVJigSize;
            //CVInnerCircleSize = _SystemParameter.CVInnerCircleSize; // mm
            //CVOuterCircleSize = _SystemParameter.CVOuterCircleSize; // mm
            EnableAutoMissAlign = _SystemParameter.EnableAutoMissAlign;

            // GenObject Param
            ObjectNumber = _SystemParameter.ObjectNumber;
            MergeDist = _SystemParameter.dMergeDist;
            MaxArcRadius = _SystemParameter.nMaxArcRadius;
            LineTolerance = _SystemParameter.nLineTolerance;
            ArcTolerance = _SystemParameter.nArcTolerance;
            LineDefualtWidth = _SystemParameter.fLineDefualtWidth;

            // DrawObejct Interlock Param
            DrawObjectDistanceRange = _SystemParameter.DrawObjectDistanceRange; // mm
            DrawObjectLengthSumDiffRange = _SystemParameter.DrawObjectLengthSumDiffRange; // mm
            DrawObjectArcLengthMax = _SystemParameter.DrawObjectArcLengthMax; // mm
            DrawObjectCenterXYDiffRange = _SystemParameter.DrawObjectCenterXYDiffRange;

            // CheckEdge Param
            MaxMinDiffHigh = _SystemParameter.MaxMinDiffHigh;
            MaxMinDiffLow = _SystemParameter.MaxMinDiffLow;
            CheckCenterDiff = _SystemParameter.CheckCenterDiff;
            DistortionCenterDiff = _SystemParameter.DistortionCenterDiff;

            //KS RCC Param
            CVThresholdCircle1 = _SystemParameter.CVThresholdCircle1;
            CVThresholdCircle2 = _SystemParameter.CVThresholdCircle2;
            CVThresholdCircle3 = _SystemParameter.CVThresholdCircle3;
            CVThresholdCircle4 = _SystemParameter.CVThresholdCircle4;
            CVThresholdCircle5 = _SystemParameter.CVThresholdCircle5;
            CVThresholdSpiral1= _SystemParameter.CVThresholdSpiral1;
            CVThresholdSpiral2= _SystemParameter.CVThresholdSpiral2;

            //CVThresholdCircle6 = _SystemParameter.CVThresholdCircle6;
            //CVThresholdCircle2_1 = _SystemParameter.CVThresholdCircle2_1;
            //CVThresholdCircle2_2 = _SystemParameter.CVThresholdCircle2_2;
            //CVThresholdCircle2_3 = _SystemParameter.CVThresholdCircle2_3;
            //CVThresholdCircle2_4 = _SystemParameter.CVThresholdCircle2_4;
            //CVThresholdCircle2_5 = _SystemParameter.CVThresholdCircle2_5;
            //CVThresholdCircle2_6 = _SystemParameter.CVThresholdCircle2_6;
            CVThresholdLine1 = _SystemParameter.CVThresholdLine1;
            CVThresholdLine2 = _SystemParameter.CVThresholdLine2;
            CVRadiusMargin = _SystemParameter.CVRadiusMargin;
            CVSearchSize = _SystemParameter.CVSearchSize;

            CellRadiusOffset = 0.35;

            IsOffsetTypeManual = true;
        }

        private void OnCellGenTypeChanged(object obj)
        {
            CellType = (string)obj;
        }
        private void PerformCmdLoadImage(object obj)
        {
            OpenFileDialog dialog = new OpenFileDialog();
            dialog.Multiselect = true;
            if (dialog.ShowDialog() == true)
            {
                if (dialog.FileNames.Length == 0)
                {
                    return;
                }
            }
            else
            {
                MessageUtil.ShowWarningToast("Failed to open dialog.");
                return;
            }

            _LoadImagePath = dialog.FileNames[0];
            // OpenCV
            #region OpenCV
            _OriginImageMat = Cv2.ImRead(_LoadImagePath);
            OriginImage = _OriginImageMat.ToBitmapSource();
            _ConvertImageMat = _OriginImageMat.Clone();

            _ObjectGenerator.SetImageSize(_OriginImageMat.Width, _OriginImageMat.Height);
            _ImageWidth = _OriginImageMat.Width;
            _ImageHeight = _OriginImageMat.Height;

            _MaskedImageMat = _ObjectGenerator.MaskingImage(_ConvertImageMat, CVInnerCircleSize, CVOuterCircleSize);
            MaskedImage = _MaskedImageMat.ToBitmapSource();

            if (dialog.FileNames.Length > 1)
            {
                _OriginImageMat2 = Cv2.ImRead(dialog.FileNames[1]);
                _OriginImage2 = _OriginImageMat2.ToBitmapSource();
                _ConvertImageMat2 = _OriginImageMat2.Clone();
                _MaskedImageMat = _OriginImageMat2.Clone();
                MaskedImage = _OriginImageMat2.ToBitmapSource();
            }
            #endregion

            #region MIL, 미사용 주석 처리
            ////buffer 설정, buffer 사이즈는 가져온 이미지의 사이즈로 넣어줘야함..
            //MIL.MbufAllocColor(MilEnvironment.Instance.GetSystem(_cameraAgent._CamConfig.CamConnConfig.BoardSlotPos), 3, loadImg.Width, loadImg.Height, 8 + MIL.M_UNSIGNED, MIL.M_IMAGE + MIL.M_DISP + MIL.M_PROC, ref MILImage);

            ////이미지 로드
            //MIL.MbufLoad(imagepath, MILImage);

            ////WPF Bitmapsource로 변환
            //int width = (int)MIL.MbufInquire(MILImage, MIL.M_SIZE_X, MIL.M_NULL);
            //int height = (int)MIL.MbufInquire(MILImage, MIL.M_SIZE_Y, MIL.M_NULL);
            ////int stride = width; // Assuming 8-bit grayscale image
            //int stride = width * 3; // Assuming 24-bit BRG image
            //byte[] imageData = new byte[width * height * 3];
            ////MIL.MbufGet(MILImage, imageData); // 8-bit일 경우 사용
            //MIL.MbufGetColor(MILImage, MIL.M_PACKED + MIL.M_BGR24, MIL.M_ALL_BANDS, imageData);

            ////8-bit 1ch gray일 경우 사용
            ////BitmapSource bitmapSource = BitmapSource.Create(
            ////    width, height, 96, 96, System.Windows.Media.PixelFormats.Gray8, null, imageData, stride);

            ////32-bit 3ch bgr
            //BitmapSource bitmapSource = BitmapSource.Create(
            //    width, height, 96, 96, System.Windows.Media.PixelFormats.Bgr24, null, imageData, stride);

            ////Convert bitmapsource to Mat
            //ConvImg = bitmapSource.ToMat();

            //// MIL 해제
            //MIL.MbufFree(MILImage);
            #endregion

            //int width = loadImg.Width;
            //int height = loadImg.Height;
            //int stride = width * 3;
            //byte[] imageData = new byte[width * height * 3];
            //imageData = loadImg.ToBytes();
            //BitmapSource bitmapSource = BitmapSource.Create(
            //    loadImg.Width, loadImg.Height, 96, 96, System.Windows.Media.PixelFormats.Bgr24, null, loadImg.Data, loadImg.Step());
            //ConvImg = bitmapSource.ToMat();

            // WPF Image 컨트롤에 설정
            //OriginImage = bitmapSource;
        }

        private void PerformCmdSaveImage(object obj)
        {
            SaveFileDialog saveFileDialog = new SaveFileDialog();
            saveFileDialog.Filter = "JPEG Image|*.jpg|PNG Image|*.png|Bitmap Image|*.bmp";
            saveFileDialog.Title = "Save an Image File";
            saveFileDialog.DefaultExt = "jpg"; // 기본 확장자를 설정합니다.
            saveFileDialog.FileName = string.Format($"ResultImage_{DateTime.Now.Month}_{DateTime.Now.Day}_{DateTime.Now.ToString("HHmmss")}.jpg"); // 기본 파일 이름을 설정합니다.

            if (saveFileDialog.ShowDialog() == true)
            {
                string savePath = saveFileDialog.FileName;
                //bitmapSource를 이미지 파일로 저장
                BitmapEncoder encoder = new JpegBitmapEncoder();
                using (FileStream stream = new FileStream(savePath, FileMode.Create))
                {
                    encoder.Frames.Add(BitmapFrame.Create(ResultImage));
                    encoder.Save(stream);
                }

            }
            else
            {
                MessageUtil.ShowWarningToast("Failed to open dialog.");
            }
        }

        private void PerformCmdSaveCSV(object obj)
        {
            if (_MaxContour != null)
            {
                SaveContoursToCsv(_MaxContour);
            }

            //Jin : 미사용
            //switch (_VisionType) {
            //    case "OpenCV":
            //        if (_MaxContour != null) {
            //            SaveContoursToCsv(_MaxContour);
            //        } else {
            //            SaveCenterToCsv(_CenterX, _CenterY);
            //        }

            //        break;
            //    case "MIL":
            //        SaveCoordinatesToCsv(_XCoordinates, _YCoordinates);
            //        break;
            //}
        }

        private void SaveContoursToCsv(Point[][] maxcotours)
        {
            string folderPath = Path.Combine(ConfigurationManager.AppSettings.Get("DATA_PATH"), "_vision", "EdgeContour", "Manual");
            string filepath = Path.Combine(folderPath,
                string.Format($"EdgeContour_{DateTime.Now.Year}_{DateTime.Now.Month}_{DateTime.Now.Day}_{DateTime.Now:HHmmss}.csv"));
            try
            {
                if (!Directory.Exists(folderPath))
                {
                    Directory.CreateDirectory(folderPath);
                }

                using (StreamWriter writer = new StreamWriter(filepath))
                {
                    int index = 0;
                    writer.WriteLine("Index,X_pixel,Y_pixel,X_mm,Y_mm");
                    foreach (var contour in maxcotours)
                    {
                        foreach (var point in contour)
                        {
                            index++;
                            double convertX = (point.X - _ImageWidth / 2) * (_SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000;
                            double convertY = (-point.Y + _ImageHeight / 2) * (_SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000;
                            writer.WriteLine($"{index},{point.X},{point.Y},{convertX},{convertY}");
                        }
                    }
                }
            }
            catch (Exception e)
            {
                Log.E(e.Message);
            }
        }

        private void SaveCenterToCsv(double centerX, double centerY)
        {
            string savepath = Path.Combine(ConfigurationManager.AppSettings.Get("DATA_PATH"), "_vision", "EdgeContour", "Manual",
                 string.Format($"CenterDetect_{DateTime.Now.Year}_{DateTime.Now.Month}_{DateTime.Now.Day}.csv"));
            try
            {
                if (!File.Exists(savepath))
                {
                    using (StreamWriter writer = new StreamWriter(savepath, false))
                    {
                        writer.WriteLine("DateTime, CenterX, CenterY");
                        writer.WriteLine($"{DateTime.Now.ToString("HH:mm:ss")}, {centerX}, {centerY}");
                    }
                }
                else
                {
                    using (StreamWriter writer = new StreamWriter(savepath, true))
                    {
                        writer.WriteLine($"{DateTime.Now.ToString("HH:mm:ss")}, {centerX}, {centerY}");
                    }
                }

            }
            catch (Exception e)
            {
                Log.E(e.Message);
            }
        }

        private void PerformCmdCheckRadiusImage(object obj)
        {
            if (_ConvertImageMat == null)
            {
                MessageUtil.CreateAndShowMessageDialog("Detect Edge is failed.", "Detect Edge is failed. Please Load image.");
                return;
            }
            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            _RecipeDrawObejct = _ScannerCanvasUserCtrl.Model.Layers[0].Objects;

            _Stopwatch.Start();
            if (CellType == "Single")
            {
                var (centerX, centerY) = FindCenterReicpeSingleArc(_ConvertImageMat);
                int radius_Pixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);
                var (right, left, top) = _ObjectGenerator.FindCenterPoint(_ConvertImageMat, CVThreshold, out Point centerPoint, centerX, centerY, CVJigSize);
                _Stopwatch.Stop();
                Log.I($"CheckRadius Complete Time : {(float)_Stopwatch.ElapsedMilliseconds}msec");
                _Stopwatch.Reset();
                DrawCenterPointRadius(centerPoint, radius_Pixel, right, left, top);
            }
            else if (CellType == "Multi")
            {
                // 시퀀스에서 동시처리하려면 어차피 변수를 분리해야니깐 Manual에서도 변수하나로 두번처리하는것보다 변수 두개로 가져가자
                var (centerX, centerY, centerX2, centerY2) = FindCenterReicpeMultiArc(_ConvertImageMat);
                int radius_Pixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);

                int cropWidth = 3200;
                int cropHeight = 3200;
                _CroppedImage1 = CropImage(_ConvertImageMat, centerX, centerY, cropWidth, cropHeight);
                _CroppedImage2 = CropImage(_ConvertImageMat, centerX2, centerY2, cropWidth, cropHeight);

                CroppedImageL = _CroppedImage1.ToBitmapSource();
                CroppedImageR = _CroppedImage2.ToBitmapSource();

                var (right, left, top) = _ObjectGenerator.FindCenterPoint(_CroppedImage1, CVThreshold, out Point centerPoint, centerX, centerY, CVJigSize);
                var (right2, left2, top2) = _ObjectGenerator.FindCenterPoint(_CroppedImage2, CVThreshold, out Point centerPoint2, centerX2, centerY2, CVJigSize);
                _Stopwatch.Stop();
                Log.I($"CheckRadius Complete Time : {(float)_Stopwatch.ElapsedMilliseconds}msec");
                _Stopwatch.Reset();

                // 크롭된 이미지의 좌표를 원본 이미지의 좌표로 변환
                Point centerPointInOriginal = new Point(centerPoint.X + centerX - cropWidth / 2, centerPoint.Y + centerY - cropHeight / 2);
                Point centerPoint2InOriginal = new Point(centerPoint2.X + centerX2 - cropWidth / 2, centerPoint2.Y + centerY2 - cropHeight / 2);

                Point rightInOriginal = new Point(right.X + centerX - cropWidth / 2, right.Y + centerY - cropHeight / 2);
                Point leftInOriginal = new Point(left.X + centerX - cropWidth / 2, left.Y + centerY - cropHeight / 2);
                Point topInOriginal = new Point(top.X + centerX - cropWidth / 2, top.Y + centerY - cropHeight / 2);

                Point right2InOriginal = new Point(right2.X + centerX2 - cropWidth / 2, right2.Y + centerY2 - cropHeight / 2);
                Point left2InOriginal = new Point(left2.X + centerX2 - cropWidth / 2, left2.Y + centerY2 - cropHeight / 2);
                Point top2InOriginal = new Point(top2.X + centerX2 - cropWidth / 2, top2.Y + centerY2 - cropHeight / 2);

                Point[] center_points = { centerPointInOriginal, centerPoint2InOriginal };
                Point[] right_points = { rightInOriginal, right2InOriginal };
                Point[] left_points = { leftInOriginal, left2InOriginal };
                Point[] top_points = { topInOriginal, top2InOriginal };

                DrawCenterPointRadiusMulti(center_points, radius_Pixel, right_points, left_points, top_points);
            }
        }
        private void DrawCenterPointRadius(Point center_point, double radius, Point right, Point left, Point top)
        {
            // Draw the contour on the image
            _DetectImageMat = _ConvertImageMat.Clone();
            Cv2.Circle(_DetectImageMat, center_point, 8, new Scalar(0, 255, 0), -1);
            Cv2.Circle(_DetectImageMat, center_point, (int)radius, new Scalar(0, 255, 0), 2);

            Cv2.Circle(_DetectImageMat, right, 5, new Scalar(0, 0, 255), -1);
            Cv2.Circle(_DetectImageMat, left, 5, new Scalar(0, 0, 255), -1);
            Cv2.Circle(_DetectImageMat, top, 5, new Scalar(0, 0, 255), -1);

            ResultImage = _DetectImageMat.ToBitmapSource();
        }
        private void DrawCenterPointRadiusMulti(Point[] center_points, double radius, Point[] right_points, Point[] left_points, Point[] top_points)
        {
            // Draw the contour on the image
            _DetectImageMat = _ConvertImageMat.Clone();

            for (int i = 0; i < center_points.Length; i++)
            {
                Cv2.Circle(_DetectImageMat, center_points[i], 8, new Scalar(255, 0, 0), -1);
                Cv2.Circle(_DetectImageMat, center_points[i], (int)radius, new Scalar(0, 255, 0), 2);
            }

            for (int i = 0; i < right_points.Length; i++)
            {
                Cv2.Circle(_DetectImageMat, right_points[i], 5, new Scalar(0, 0, 255), -1);
                Cv2.Circle(_DetectImageMat, left_points[i], 5, new Scalar(0, 0, 255), -1);
                Cv2.Circle(_DetectImageMat, top_points[i], 5, new Scalar(0, 0, 255), -1);
            }

            ResultImage = _DetectImageMat.ToBitmapSource();
        }

        private void PerformCmdDetectEdgeImage(object obj)
        {
            if (_ConvertImageMat == null)
            {
                MessageUtil.CreateAndShowMessageDialog("Detect Edge is failed.", "Detect Edge is failed. Please Load image.");
                return;
            }

            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            _RecipeDrawObejct = _ScannerCanvasUserCtrl.Model.Layers[0].Objects;
            int[] shrinkList = new int[] { CVShrinkPixel, CVShrinkPixel2, CVShrinkPixel3, CVShrinkPixel4 };
            //Interlock Property에 Edgedetect MaxMinDiff가 포함되어있기때문에 EdgeDetect 함수에서 실행할 수 있도록 한다
            _ObjectGenerator.SetInterlockProperties(DrawObjectDistanceRange, DrawObjectArcLengthMax, DrawObjectLengthSumDiffRange, DrawObjectCenterXYDiffRange, MaxMinDiffHigh, MaxMinDiffLow, CheckCenterDiff, DistortionCenterDiff, _SystemParameter.AutoMissAlignHigh, _SystemParameter.AutoMissAlignLow);

            if (CellType == "Single")
            {
                var (centerX, centerY) = FindCenterReicpeSingleArc(_ConvertImageMat);
                _Stopwatch.Start();
                int radius_Pixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);
                if (!_ObjectGenerator.FindEdge(_ConvertImageMat, radius_Pixel, Margin, PointNum, CVThreshold, centerX, centerY, DetectPointPercent, CVJigSize, out Point[][] maxContour, out _DetectedContourCenter))
                {
                    MessageUtil.CreateAndShowMessageDialog("Find Edge", "Fail to find Edge. Check Interlock log.");
                    Log.W(string.Format("Failed to find Edge."));
                    return;
                }
                if (_ObjectGenerator.CheckEdge(maxContour, shrinkList, _ConvertImageMat.Height, _ConvertImageMat.Height, centerX, centerY, EnableAutoMissAlign, out _MaxContour) == 3)
                {
                    Log.W(string.Format("Failed to check Edge."));
                    MessageUtil.CreateAndShowMessageDialog("Check Edge", "Fail to check Edge. Check Interlock log.");
                    return;
                }
                _Stopwatch.Stop();
                Log.I($"EdgeDetect Time : {(float)_Stopwatch.ElapsedMilliseconds} msec");
                _Stopwatch.Reset();
                // Temp : MaxContour의 Center로부터 MaxContour까지의 거리 평균을 구하자
                // contourCenter 픽셀을 Int로 변환해서 쓰면 FindEdge의 ConvertDrawingObjectAxis함수의 center랑 동일하게 나옴.. int로 변환하지않으면 픽셀에 소수점까지 있어서 센터가 바뀌긴함
                Point2f contourCenter = _ObjectGenerator.CalculateCentroid(_MaxContour[0]);
                var temp1 = ((long)contourCenter.X - _ImageWidth / 2) * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;
                var temp2 = (_ImageHeight / 2 - (long)contourCenter.Y) * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;
                Log.I($"CenterX : {temp1.ToString("F2")} mm, CenterY : {temp2.ToString("F2")} mm");

                double[] radius_list = new double[_MaxContour[0].Count()];
                for (int i = 0; i < _MaxContour[0].Count(); i++)
                {

                    var radius_i = Math.Sqrt((contourCenter.X - _MaxContour[0][i].X) * (contourCenter.X - _MaxContour[0][i].X) + (contourCenter.Y - _MaxContour[0][i].Y) * (contourCenter.Y - _MaxContour[0][i].Y));
                    radius_list[i] = radius_i;
                }
                var radius_list_avg = radius_list.Average();
                var radius_final = radius_list_avg * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;

                // 측정 반지름과 Recipe의 Page에 설정된 Arc Radius와 비교하여 가장 근사한 Radius를 가진 페이지를 선택한다
                int closestLayerIndex = -1;
                double minDifference = double.MaxValue;
                var recipelayersCnt = _ScannerCanvasUserCtrl.Model.Layers.Count();
                //List<List<IDrawObject>> layerObjectsLists = new List<List<IDrawObject>>();
                for (int i = 0; i < recipelayersCnt; i++)
                {
                    var layerObjects = _ScannerCanvasUserCtrl.Model.Layers[i].Objects;
                    Arc closestArc = null;
                    foreach (var item in layerObjects)
                    {
                        if (item is Arc arc)
                        {
                            closestArc = arc;
                            break;
                        }
                    }
                    if (closestArc != null)
                    {
                        // 본 시퀀스에서는 CellRadiusOffset을 Model에서 받아온다.
                        double difference = Math.Abs(closestArc.Radius - (radius_final - CellRadiusOffset));

                        if (difference < minDifference)
                        {
                            minDifference = difference;
                            closestLayerIndex = i;
                        }
                    }
                }

                _RecipeDrawObejct = _ScannerCanvasUserCtrl.Model.Layers[closestLayerIndex].Objects;

                Log.I($"Selected Recipe PageNo : {closestLayerIndex + 1}, Detected Radius : {radius_final.ToString("F3")} mm, Model CellRadiusOffset : {CellRadiusOffset} mm");

                _Stopwatch.Stop();
                Log.I($"Calculate Radius and Fit RecipeDrawObejct Time : {(float)_Stopwatch.ElapsedMilliseconds} msec");
                //------------------------------------------------------------------
                UpdateDateCorrection(_MaxContour);
                DrawCVEdgeContour(_MaxContour);
            }
            else if (CellType == "Multi")
            {
                // 시퀀스에서 동시처리하려면 어차피 변수를 분리해야니깐 Manual에서도 변수하나로 두번처리하는것보다 변수 두개로 가져가자
                Stopwatch sw = Stopwatch.StartNew();
                var (centerX, centerY, centerX2, centerY2) = FindCenterReicpeMultiArc(_ConvertImageMat);
                int radius_Pixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);

                // 현재 FindEdge 알고리즘은 변수로 넣어주는 이미지에서 외곽부터 들어오면서 3점을 찾으니깐 이미지 넣어줄때부터 잘라서 넣어줘야함..
                // CenterPixel값을 찾아뒀으니 CenterPixel기준으로 이미지를 자르는게 나을듯(임시로 구현해보고 나중에 좋은방법을 찾아보자)
                // TODO : Center기준으로 Crop사이즈를 지정하니깐 이미지가 짤리는 부분에서 흑백과 본이미지 경계가 구분되어 EdgeDetect시 JigSize가 필수로 있어야함..아니면 3점을 못찾음
                int cropWidth = 3200;
                int cropHeight = 3200;
                int cropWidthHalf = cropWidth / 2;
                int cropHeightHalf = cropHeight / 2;
                _CroppedImage1 = CropImage(_ConvertImageMat, centerX, centerY, cropWidth, cropHeight);
                _CroppedImage2 = CropImage(_ConvertImageMat, centerX2, centerY2, cropWidth, cropHeight);
                sw.Stop();
                Log.I($"Crop Complte Time : {(float)sw.ElapsedMilliseconds} msec");

                CroppedImageL = _CroppedImage1.ToBitmapSource();
                CroppedImageR = _CroppedImage2.ToBitmapSource();
                //// Temp
                //ResultImage = _CroppedImage1.ToBitmapSource();
                //ResultImage = croppedImage2.ToBitmapSource();
                //obj = null;
                //SaveImage(obj);

                sw.Restart();
                //여기서 CenterX, Y값은 위에서찾은 centerX,Y를 CroppedImage의 사이즈로 변경해줄 필요가있음
                //위에서 Center 기준으로 cropWidth, cropHeight 기준으로 잘랐으니깐 그거 절반이 Center네..
                if (!_ObjectGenerator.FindEdge(_CroppedImage1, radius_Pixel, Margin, PointNum, CVThreshold, cropWidthHalf, cropHeightHalf, DetectPointPercent, CVJigSize, out Point[][] maxContour, out _DetectedContourCenter))
                {
                    MessageUtil.CreateAndShowMessageDialog("Find Edge", "Fail to find Edge. Check Interlock log.");
                    Log.W(string.Format("Failed to find Edge."));
                    return;
                }
                if (_ObjectGenerator.CheckEdge(maxContour, shrinkList, _CroppedImage1.Height, _CroppedImage1.Width, cropWidthHalf, cropHeightHalf, EnableAutoMissAlign, out _MaxContour) == 3)
                {
                    MessageUtil.CreateAndShowMessageDialog("Check Edge", "Fail to check Edge. Check Interlock log.");
                    Log.W(string.Format("Failed to check Edge."));
                    return;
                }
                // TODO : _DetectedContourCenter가 CroppedImage의 Center mm 값으로바뀌네.. 전체 Convimge 좌표 기준으로 변경해줘야 함..
                // _DetectedContourCenter를 Pixel로 변경
                _ObjectGenerator.ConvertPixelAxisFromDrawingObjectAxis(_DetectedContourCenter, _CroppedImage1.Width, _CroppedImage1.Height, out double detectedContourCenterPixelX, out double detectedContourCenterPixelY);
                // CropImage의 CenterPixel을 원본이미지 Pixel로 변경
                detectedContourCenterPixelX += centerX - cropWidthHalf;
                detectedContourCenterPixelY += centerY - cropHeightHalf;
                // 원본이미지 Pixel을 다시 _DetectedContourCenter로 바꿔줌
                _ObjectGenerator.ConvertDrawingObjectAxis((long)detectedContourCenterPixelX, (long)detectedContourCenterPixelY, _ConvertImageMat.Width, _ConvertImageMat.Height, out _DetectedContourCenter);

                _MaxContour = ConvertMaxContourPixel(_MaxContour, centerX, centerY, cropWidthHalf, cropHeightHalf);
                sw.Stop();
                Log.I($"First EdgeDetect Time : {(float)sw.ElapsedMilliseconds} msec");
                sw.Restart();

                if (!_ObjectGenerator.FindEdge(_CroppedImage2, radius_Pixel, Margin, PointNum, CVThreshold, cropWidthHalf, cropHeightHalf, DetectPointPercent, CVJigSize,
                    out maxContour, out _DetectedContourCenter2))
                {
                    Log.W(string.Format("Failed to find Edge."));
                    return;
                }
                if (_ObjectGenerator.CheckEdge(maxContour, shrinkList, _CroppedImage2.Height, _CroppedImage2.Width, cropWidthHalf, cropHeightHalf, EnableAutoMissAlign, out _MaxContour2) == 3)
                {
                    Log.W(string.Format("Failed to check Edge."));
                    return;
                }
                _ObjectGenerator.ConvertPixelAxisFromDrawingObjectAxis(_DetectedContourCenter2, _CroppedImage2.Width, _CroppedImage2.Height, out double detectedContourCenterPixelX2, out double detectedContourCenterPixelY2);
                detectedContourCenterPixelX2 += centerX2 - cropWidthHalf;
                detectedContourCenterPixelY2 += centerY2 - cropHeightHalf;
                _ObjectGenerator.ConvertDrawingObjectAxis((long)detectedContourCenterPixelX2, (long)detectedContourCenterPixelY2, _ConvertImageMat.Width, _ConvertImageMat.Height, out _DetectedContourCenter2);

                _MaxContour2 = ConvertMaxContourPixel(_MaxContour2, centerX2, centerY2, cropWidthHalf, cropHeightHalf);
                sw.Stop();
                Log.I($"Second EdgeDetect Time : {(float)sw.ElapsedMilliseconds} msec");
                sw.Reset();
                DrawCVEdgeContourMulti(_MaxContour, _MaxContour2);
            }
        }
        private Point[][] ConvertMaxContourPixel(Point[][] maxContour, int centerX, int centerY, int cropWidthHalf, int cropHeightHalf)
        {
            if (maxContour[0].Count() < 1)
            {
                Log.E("MaxContour is Null");
                return null;
            }

            for (int i = 0; i < maxContour[0].Length; i++)
            {
                maxContour[0][i].X += (centerX - cropWidthHalf);
                maxContour[0][i].Y += (centerY - cropHeightHalf);
            }
            return maxContour;
        }
        private Mat CropImage(Mat sourceImage, int centerX, int centerY, int width, int height)
        {
            // 잘라낼 영역의 시작 좌표 계산
            int startX = centerX - width / 2;
            int startY = centerY - height / 2;

            // 잘라낼 영역의 끝 좌표 계산
            int endX = startX + width;
            int endY = startY + height;

            // 이미지의 경계를 벗어나지 않도록 조정
            startX = Math.Max(startX, 0);
            startY = Math.Max(startY, 0);
            endX = Math.Min(endX, sourceImage.Width);
            endY = Math.Min(endY, sourceImage.Height);

            // 잘라낼 영역의 크기 계산
            int cropWidth = endX - startX;
            int cropHeight = endY - startY;

            // 잘라낸 이미지 생성
            Rect cropRect = new Rect(startX, startY, cropWidth, cropHeight);
            Mat croppedImage = new Mat(sourceImage, cropRect);

            return croppedImage;
        }
        private (int centerX, int centerY) FindCenterReicpeSingleArc(Mat image)
        {
            int centerX = 0, centerY = 0;
            foreach (var item in _RecipeDrawObejct)
            {
                if (item is Arc)
                {
                    Arc arc = (Arc)item;
                    centerX = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + image.Width / 2);
                    centerY = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + image.Height / 2);
                    break;
                }
            }

            return (centerX, centerY);
        }
        private (int centerX, int centerY, int centerX2, int centerY2) FindCenterReicpeMultiArc(Mat image)
        {
            int centerX = 0, centerY = 0, centerX2 = 0, centerY2 = 0;

            //Recipe에 그려진 Arc의 Center를 가져오기 위해 좌측과 우측의 Arc 순서가 고정되어있어야함
            //item에서 LeftArc, RigthArc가 각 1,2번으로 고정되어 있어야 함
            int arcCount = 1;
            foreach (var item in _RecipeDrawObejct)
            {
                if (item is Arc)
                {
                    Arc arc = (Arc)item;
                    if (arcCount == 1)
                    {
                        centerX = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + image.Width / 2);
                        centerY = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + image.Height / 2);
                    }
                    else if (arcCount == 2)
                    {
                        centerX2 = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + image.Width / 2);
                        centerY2 = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + image.Height / 2);
                        break;
                    }
                    arcCount++;
                }
            }

            return (centerX, centerY, centerX2, centerY2);
        }
        private void UpdateDateCorrection(Point[][] maxContours)
        {
            if (maxContours.Count() < 1)
            {
                return;
            }

            if (ContourCorrectionInfoList.Count() != 0)
            {
                ContourCorrectionInfoList.Clear();
            }

            // MaxContour가 0일 경우 예외처리
            if (_MaxContour[0].Count() < 1)
            {
                Log.E("MaxContour is Null");
                return;
            }

            int index = 0;
            foreach (var contour in maxContours)
            {
                foreach (var point in contour)
                {
                    ContourCorrectionInfo contourCorrectionInfo = new ContourCorrectionInfo();
                    contourCorrectionInfo.Index = index++;
                    contourCorrectionInfo.VisionX = point.X;
                    contourCorrectionInfo.VisionY = point.Y;
                    ContourCorrectionInfoList.Add(contourCorrectionInfo);
                }
            }
        }

        private void DrawCVEdgeContour(Point[][] maxContour)
        {
            // Draw the contour on the image
            _DetectImageMat = _ConvertImageMat.Clone();

            // MaxContour가 0일 경우 예외처리
            if (maxContour[0].Count() < 1)
            {
                ResultImage = _DetectImageMat.ToBitmapSource();
                //Log.E("MaxContour is Null");
                return;
            }

            Cv2.DrawContours(_DetectImageMat, maxContour, -1, new Scalar(0, 255, 0), 2);

            ResultImage = _DetectImageMat.ToBitmapSource();
        }
        private void DrawCVEdgeContourMulti(Point[][] maxContour, Point[][] maxContour2)
        {
            // Draw the contour on the image
            _DetectImageMat = _ConvertImageMat.Clone();

            // MaxContour가 0일 경우 예외처리
            if (maxContour[0].Count() < 1 && maxContour2[0].Count() < 1)
            {
                ResultImage = _DetectImageMat.ToBitmapSource();
                //Log.E("MaxContour is Null");
                return;
            }

            Cv2.DrawContours(_DetectImageMat, maxContour, -1, new Scalar(0, 255, 0), 2);
            Cv2.DrawContours(_DetectImageMat, maxContour2, -1, new Scalar(0, 255, 0), 2);
            ResultImage = _DetectImageMat.ToBitmapSource();
        }
        private void PerformCmdGenerateDrawingObject(object obj)
        {
            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            _RecipeDrawObejct = _ScannerCanvasUserCtrl.Model.Layers[0].Objects;
            // cellType에 따라 처리
            // _DestDrawObjects는 RecipeUpdate시 필요, Paths는 ResultImage에 그리기위해 2개로 분리
            if (CellType == "Single")
            {
                ProcessDrawingObject(eArcCount.FirstArc, _MaxContour, out _DestDrawObjects, out _Paths);
            }
            else if (CellType == "Multi")
            {
                ProcessDrawingObject(eArcCount.FirstArc, _MaxContour, out _DestDrawObjects, out _Paths);
                ProcessDrawingObject(eArcCount.SecondArc, _MaxContour2, out _DestDrawObjects2, out _Paths2);
            }

            DrawObject(CellType);
        }
        private bool ProcessDrawingObject(eArcCount arcCount, Point[][] maxContour, out List<IDrawObject> destDrawObjects, out List<PathItem> paths)
        {
            destDrawObjects = new List<IDrawObject>();
            paths = new List<PathItem>();

            Stopwatch sw = Stopwatch.StartNew();
            if (!_ObjectGenerator.GetArcInfoFromRecipe(_RecipeDrawObejct, out _SelectedArcs))
                return false;
            // MaxContour가 0일 경우 예외처리
            if (maxContour[0].Count() < 1 || maxContour == null)
            {
                Log.E("MaxContour is Null");
                return false;
            }
            if (arcCount == eArcCount.FirstArc)
            {
                _ObjectGenerator.SetPolygonFromList(maxContour, out TPolygon polygon);
                if (IsArcByAngle)
                {
                    _ObjectGenerator.CalculateAutoPathAngle(_ConvertImageMat, _SelectedArcs[0], polygon, MergeDist, ObjectNumber, _DetectedContourCenter, out _Paths);
                }
                else
                {
                    _ObjectGenerator.CalculateAutoPath(_ConvertImageMat, _SelectedArcs[0], polygon, MergeDist, MaxArcRadius, LineTolerance, ArcTolerance, _DetectedContourCenter, out _Paths);
                }
                _ObjectGenerator.ConvertPathItemToDrawingObjects(_Paths, LineDefualtWidth, _ConvertImageMat, _SelectedArcs[0], out destDrawObjects);

                if (_ObjectGenerator.CheckInterlockDrawingObjectPosition(destDrawObjects, _DetectedContourCenter, _SelectedArcs[0]) == false)
                {
                    MessageUtil.CreateAndShowMessageDialog("Interlock GenObject", "Interlock Object Generating. Check Interlock Condition.");
                }
            }
            else
            {
                _ObjectGenerator.SetPolygonFromList(maxContour, out TPolygon polygon);
                if (IsArcByAngle)
                {
                    _ObjectGenerator.CalculateAutoPathAngle(_ConvertImageMat, _SelectedArcs[1], polygon, MergeDist, ObjectNumber, _DetectedContourCenter2, out _Paths2);
                }
                else
                {
                    _ObjectGenerator.CalculateAutoPath(_ConvertImageMat, _SelectedArcs[1], polygon, MergeDist, MaxArcRadius, LineTolerance, ArcTolerance, _DetectedContourCenter2, out _Paths2);
                }
                _ObjectGenerator.ConvertPathItemToDrawingObjects(_Paths2, LineDefualtWidth, _ConvertImageMat, _SelectedArcs[1], out destDrawObjects);
                if (_ObjectGenerator.CheckInterlockDrawingObjectPosition(destDrawObjects, _DetectedContourCenter2, _SelectedArcs[1]) == false)
                {
                    MessageUtil.CreateAndShowMessageDialog("Interlock GenObject", "Interlock Object Generating. Check Interlock Condition.");
                }
            }
            sw.Stop();
            Log.I($"ArcCount : {arcCount}, GenerateWeldingObject Time : {sw.ElapsedMilliseconds} msec");
            _ObjectGenerator.SaveDrawingObjectsToCSV(destDrawObjects, "Manual");

            //objGenerator.GetAutoPath(out paths);

            return true;
        }
        private void DrawObject(string cellType)
        {
            if (_Paths == null) return;
            _DetectImageMat = _ConvertImageMat.Clone();

            void DrawPaths(List<PathItem> paths, Arc originArc)
            {
                foreach (var item in paths)
                {

                    if (item != null)
                    {
                        if (item.GetType() == PathItem._PathType.Line)
                        {
                            Point P1; Int64 P1X, P1Y;
                            Point P2; Int64 P2X, P2Y;
                            item.GetStart(out P1X, out P1Y); P1.X = Convert.ToInt32(P1X); P1.Y = Convert.ToInt32(P1Y);
                            item.GetEnd(out P2X, out P2Y); P2.X = Convert.ToInt32(P2X); P2.Y = Convert.ToInt32(P2Y);
                            Cv2.Line(_DetectImageMat, P1, P2, new Scalar(0, 0, 255), 6);
                        }
                        else if (item.GetType() == PathItem._PathType.Arc)
                        {
                            Point P1; Int64 P1X, P1Y;
                            Point P2; Int64 P2X, P2Y;
                            item.GetStart(out P1X, out P1Y); P1.X = Convert.ToInt32(P1X); P1.Y = Convert.ToInt32(P1Y);
                            item.GetEnd(out P2X, out P2Y); P2.X = Convert.ToInt32(P2X); P2.Y = Convert.ToInt32(P2Y);
                            Point PCenter; Int64 PX, PY;
                            item.GetCenter(out PX, out PY); PCenter.X = Convert.ToInt32(PX); PCenter.Y = Convert.ToInt32(PY);
                            double radius = Convert.ToDouble(item.GetRadius());
                            double dStartAngle = Math.Atan2((P1.Y - PCenter.Y), (P1.X - PCenter.X)) * (180 / Math.PI);
                            double dEndAngle = Math.Atan2((P2.Y - PCenter.Y), (P2.X - PCenter.X)) * (180 / Math.PI);
                            //if (objGenerator.m_OriginArc);
                            if (dStartAngle < 0) dStartAngle += 360;
                            if (dEndAngle < 0) dEndAngle += 360;
                            //if (PCenter.X < 0 || PCenter.Y < 0 || radius < 1000 || radius > 3000)
                            //{
                            //    Cv2.Line(detectImg, P1, P2, new Scalar(0, 0, 255), 5);
                            //    continue;
                            //}

                            //if (dStartAngle < 90 && dEndAngle > 270) dEndAngle -= 360;
                            //if (dStartAngle > 270 && dEndAngle < 90) dStartAngle -= 360;
                            Arc.eDirection drawDirection = originArc.Direction;
                            if (drawDirection == Arc.eDirection.CW)
                            {
                                if (dEndAngle < dStartAngle)
                                    dEndAngle += 360;
                            }
                            else
                            {
                                if (dStartAngle < dEndAngle)
                                    dStartAngle += 360;
                            }
                            Cv2.Ellipse(_DetectImageMat, PCenter, new Size(radius, radius), 0, dStartAngle, dEndAngle, new Scalar(0, 0, 255), 6);
                        }
                    }
                }
            }

            if (cellType == "Single")
            {
                DrawPaths(_Paths, _SelectedArcs[0]);
            }
            else if (cellType == "Multi")
            {
                DrawPaths(_Paths, _SelectedArcs[0]);
                if (_Paths2 != null)
                {
                    DrawPaths(_Paths2, _SelectedArcs[1]);
                }
            }
            ResultImage = _DetectImageMat.ToBitmapSource();
        }
        private void PerfomCmdFindReferenceCenter(object obj)
        {
            _SystemParameter = _Aurora.SettingEntry[CommonSettingIds.SystemParameter] as SystemParameter;

            var X_sum = 0.0; var Y_sum = 0.0; var cnt = 0;
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Multiselect = true;
            if (ofd.ShowDialog() == false || ofd.FileNames.Length == 0)
            {
                MessageUtil.ShowWarningToast("Failed to open dialog or no selected items.");
                return;
            }

            int Radius_Pixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);
            var (centerX, centerY) = FindCenterReicpeSingleArc(_ConvertImageMat);
            foreach (String file in ofd.FileNames)
            {
                _OriginImageMat = Cv2.ImRead(file);
                //if (_SystemParameter.OffsetType == eOffsetType.manual)
                //    _ObjectGenerator.SetOffsetType("Manual");
                //if (_SystemParameter.OffsetType == eOffsetType.CSV)
                //    _ObjectGenerator.SetOffsetType("CSV");
                _ObjectGenerator.FindEdge(_OriginImageMat, Radius_Pixel, Margin, 3600, CVThreshold, centerX, centerY, DetectPointPercent, CVJigSize, out Point[][] maxContour, out _DetectedContourCenter);
                X_sum += _DetectedContourCenter.X;
                Y_sum += _DetectedContourCenter.Y;
                cnt += 1;
            }
            _SystemParameter.ReferenceX = Math.Round(X_sum / cnt, 3);
            _SystemParameter.ReferenceY = Math.Round(Y_sum / cnt, 3);
            _Aurora.SettingEntry.Save(CommonSettingIds.SystemParameter, _SystemParameter, "FindReferenceCneter");
            Log.I($"Reference CenterX : {_SystemParameter.ReferenceX}, Reference CenterY : {_SystemParameter.ReferenceY}");
        }
        private void PerformCmdUpdateRecipeObjectRCC(object obj)
        {
            var result = MessageUtil.ShowYesNoMessageDialog("RCC", "Update the RCC object in the Recipe?");
            if (result == false)
            {
                return;
            }

            UpdateRecipeObjectRCC();
        }

        private void UpdateRecipeObjectRCC()
        {
            // Recipe 에서 볼수 있도록 한 임시 함수.
            // 저장누르면 recipe 가 바뀌므로 주의

            // Recipe 의 Layer 0번을 받아온다
            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            List<IDrawObject> recipeDrawObjects = _ScannerCanvasUserCtrl.Model.Layers[0].Objects;

            if (CellType == "Single")
            {
                _ObjectGenerator.ReplaceRCCObject(eArcCount.FirstArc, recipeDrawObjects, _DestDrawObjects, _DetectedContourCenter);
            }
            else
            {
                _ObjectGenerator.ReplaceRCCObject(eArcCount.FirstArc, recipeDrawObjects, _DestDrawObjects, _DetectedContourCenter);
                _ObjectGenerator.ReplaceRCCObject(eArcCount.SecondArc, recipeDrawObjects, _DestDrawObjects2, _DetectedContourCenter2);
            }

            _ScannerCanvasUserCtrl.Update();
            mainPage.UpdateObjetsInTreeView();
        }
        private void PerformCmdSaveOffsetTable(object obj)
        {
            OpenFileDialog dialog = new OpenFileDialog();
            dialog.Multiselect = true;

            if (dialog.ShowDialog() == false || dialog.FileNames.Length == 0)
            {
                MessageUtil.ShowWarningToast("Failed to open dialog or no selected items.");
                return;
            }

            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            Point2f objectCenter = new Point2f(1, 1);
            double radius = 0;
            int centerX = 0, centerY = 0;
            foreach (var item in _ScannerCanvasUserCtrl.Model.Layers[0].Objects)
            {
                if (item is Arc)
                {
                    Arc arc = (Arc)item;
                    objectCenter = new Point2f((float)(_ImageWidth / 2 + arc.Center.X * _SystemParameter.LensMagnification / _SystemParameter.CameraPixelSize * 1000.0), (float)(_ImageHeight / 2 - arc.Center.Y * _SystemParameter.LensMagnification / _SystemParameter.CameraPixelSize * 1000.0));
                    radius = arc.Radius * _SystemParameter.LensMagnification / _SystemParameter.CameraPixelSize * 1000.0;
                    centerX = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageWidth / 2);
                    centerY = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageHeight / 2);
                    break;
                }
            }

            int radiusPixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);
            int imgCount = 0;
            double[] offset_list = new double[3600];
            double[] theta_list = new double[3600];
            foreach (String file in dialog.FileNames)
            {
                Point[][] edgePointList;

                _OriginImageMat = Cv2.ImRead(file);
                if (_SystemParameter.OffsetType == eOffsetType.CSV)
                {
                    _ObjectGenerator.SetOffsetType("Manual");
                }
                int[] shrinkList = new int[] { 0, 0, 0, 0 };
                _ObjectGenerator.FindEdge(_ConvertImageMat, radiusPixel, Margin, 3600, CVThreshold, centerX, centerY, DetectPointPercent, CVJigSize, out Point[][] maxContour, out _DetectedContourCenter);
                _ObjectGenerator.CheckEdge(maxContour, shrinkList, _ConvertImageMat.Height, _ConvertImageMat.Width, centerX, centerY, _SystemParameter.EnableAutoMissAlign, out edgePointList);
                if (_SystemParameter.OffsetType == eOffsetType.CSV)
                {
                    _ObjectGenerator.SetOffsetType("CSV");
                }

                if (edgePointList[0].Length != 3600)
                {
                    Log.E($"Failed to Find 3600 points in {file}");
                    MessageUtil.CreateAndShowMessageDialog("Error", $"Failed to Find 3600 points in {file}");
                    return;
                }

                Point2f contourCenter = _ObjectGenerator.CalculateCentroid(edgePointList[0]);
                //var d = Math.Sqrt((contourCenter.X - objectCenter.X) * (contourCenter.X - objectCenter.X) + (contourCenter.Y - objectCenter.Y) * (contourCenter.Y - objectCenter.Y));
                //double theta2 = 0;
                //if (objectCenter.X > contourCenter.X && objectCenter.Y >= contourCenter.Y) {
                //    theta2 = Math.Atan((objectCenter.Y - contourCenter.Y) / (objectCenter.X - contourCenter.X));
                //} else if (objectCenter.X > contourCenter.X && objectCenter.Y <= contourCenter.Y) {
                //    theta2 = Math.Atan((-objectCenter.Y + contourCenter.Y) / (objectCenter.X - contourCenter.X));
                //} else if (objectCenter.X <= contourCenter.X && objectCenter.Y < contourCenter.Y) {
                //    theta2 = Math.Atan((contourCenter.X - objectCenter.X) / (contourCenter.Y - objectCenter.Y));
                //} else {
                //    theta2 = Math.Atan((contourCenter.X - objectCenter.X) / (objectCenter.Y - contourCenter.Y));
                //}
                for (int i = 0; i < 3600; i++)
                {

                    //double theta = 0;
                    //double theta1 = 0.1 * i * Math.PI / 180;
                    //theta_list[i] = 0.1 * i;
                    //if (edgePointList[0][i].X > contourCenter.X && edgePointList[0][i].Y >= contourCenter.Y) {
                    //    if (objectCenter.X > contourCenter.X && objectCenter.Y >= contourCenter.Y) {
                    //        theta = Math.Max(theta1 - theta2, theta2 - theta1);
                    //    } else if (objectCenter.X > contourCenter.X && objectCenter.Y <= contourCenter.Y) {
                    //        theta = theta1 + theta2;
                    //    } else if (objectCenter.X <= contourCenter.X && objectCenter.Y < contourCenter.Y) {
                    //        theta = Math.PI / 2 + theta1 + theta2;
                    //        if (theta > Math.PI) theta = 2 * Math.PI - theta;
                    //    } else {
                    //        theta = theta2 + Math.PI / 2 - theta1;
                    //    }

                    //} else if (edgePointList[0][i].X > contourCenter.X && edgePointList[0][i].Y <= contourCenter.Y) {
                    //    if (objectCenter.X > contourCenter.X && objectCenter.Y >= contourCenter.Y) {
                    //        theta = theta1 + theta2;
                    //    } else if (objectCenter.X > contourCenter.X && objectCenter.Y <= contourCenter.Y) {
                    //        theta = Math.Max(theta1 - theta2, theta2 - theta1);
                    //    } else if (objectCenter.X <= contourCenter.X && objectCenter.Y < contourCenter.Y) {
                    //        theta = theta2 + Math.PI / 2 - theta1;
                    //    } else {
                    //        theta = Math.PI / 2 + theta1 + theta2;
                    //        if (theta > Math.PI) theta = 2 * Math.PI - theta;
                    //    }

                    //} else if (edgePointList[0][i].X <= contourCenter.X && edgePointList[0][i].Y < contourCenter.Y) {
                    //    if (objectCenter.X > contourCenter.X && objectCenter.Y >= contourCenter.Y) {
                    //        theta = Math.PI / 2 + theta1 + theta2;
                    //        if (theta > Math.PI) theta = 2 * Math.PI - theta;
                    //    } else if (objectCenter.X > contourCenter.X && objectCenter.Y <= contourCenter.Y) {
                    //        theta = theta1 + Math.PI / 2 - theta2;
                    //    } else if (objectCenter.X <= contourCenter.X && objectCenter.Y < contourCenter.Y) {
                    //        theta = Math.Max(theta1 - theta2, theta2 - theta1);
                    //    } else {
                    //        theta = Math.PI - theta1 - theta2;
                    //    }

                    //} else {
                    //    if (objectCenter.X > contourCenter.X && objectCenter.Y >= contourCenter.Y) {
                    //        theta = theta1 + Math.PI / 2 - theta2;
                    //    } else if (objectCenter.X > contourCenter.X && objectCenter.Y <= contourCenter.Y) {
                    //        theta = Math.PI / 2 + theta1 + theta2;
                    //        if (theta > Math.PI) theta = 2 * Math.PI - theta;
                    //    } else if (objectCenter.X <= contourCenter.X && objectCenter.Y < contourCenter.Y) {
                    //        theta = Math.PI - theta1 - theta2;
                    //    } else {
                    //        theta = Math.Max(theta1 - theta2, theta2 - theta1);
                    //    }
                    //}

                    Point nearest_point = new Point();
                    double min_dist = radiusPixel * radiusPixel;
                    for (int recipe_i = 0; recipe_i < 3600; recipe_i++)
                    {
                        double my_dist = (edgePointList[0][i].X - (objectCenter.X + radius * Math.Cos(recipe_i * Math.PI / 1800))) * (edgePointList[0][i].X - (objectCenter.X + radius * Math.Cos(recipe_i * Math.PI / 1800)));
                        my_dist += (edgePointList[0][i].Y - (objectCenter.Y + radius * Math.Sin(recipe_i * Math.PI / 1800))) * (edgePointList[0][i].Y - (objectCenter.Y + radius * Math.Sin(recipe_i * Math.PI / 1800)));
                        if (my_dist < min_dist)
                        {
                            min_dist = my_dist;
                            nearest_point = new Point(objectCenter.X + radius * Math.Cos(recipe_i * Math.PI / 1800), objectCenter.Y + radius * Math.Sin(recipe_i * Math.PI / 1800));
                        }
                    }

                    var my_offset_pixel = Math.Sqrt((nearest_point.X - edgePointList[0][i].X) * (nearest_point.X - edgePointList[0][i].X) + (nearest_point.Y - edgePointList[0][i].Y) * (nearest_point.Y - edgePointList[0][i].Y));
                    var my_offset = my_offset_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;
                    offset_list[i] = (offset_list[i] * imgCount + my_offset) / (imgCount + 1);
                }
                imgCount += 1;
            }

            SaveOffsetToCsv(offset_list, theta_list);
            return;
        }

        private void SaveOffsetToCsv(double[] offset, double[] theta)
        {
            string savepath = Path.Combine(ConfigurationManager.AppSettings.Get("DATA_PATH"), "_vision", "EdgeContour", "Manual",
                 string.Format($"Offset_{DateTime.Now.Year}_{DateTime.Now.Month}_{DateTime.Now.Day}_{DateTime.Now.Hour}_{DateTime.Now.Minute}.csv"));
            try
            {
                using (StreamWriter writer = new StreamWriter(savepath))
                {
                    writer.WriteLine("Theta,Offset");
                    for (int i = 0; i < offset.Length; i++)
                    {
                        writer.WriteLine($"{theta[i]},{offset[i]}");
                    }
                }
                MessageUtil.CreateAndShowMessageDialog("Completed", $"Offset table is saved as {savepath}");
            }
            catch (Exception e)
            {
                Log.E(e.Message);
            }
        }

        private void PerformCmdUpdateOffsetTable(object obj)
        {
            OpenFileDialog dialog = new OpenFileDialog();
            string csvPath = "";
            if (dialog.ShowDialog() == true)
            {
                csvPath = dialog.FileName;
                if (csvPath == null)
                {
                    return;
                }
            }
            else
            {
                MessageUtil.ShowWarningToast("Failed to open dialog.");
                return;
            }

            _ObjectGenerator.SetOffsetTable(csvPath, _SystemParameter.LensMagnification, _SystemParameter.CameraPixelSize);
        }
        private void PerformCmdSaveCenterRadius(object obj)
        {
            OpenFileDialog dialog = new OpenFileDialog();
            dialog.Multiselect = true;

            if (dialog.ShowDialog() == false || dialog.FileNames.Length == 0)
            {
                MessageUtil.ShowWarningToast("Failed to open dialog or no selected items.");
                return;
            }

            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            Point2f objectCenter = new Point2f(1, 1);
            double radius = 0;
            int centerX = 0, centerY = 0;
            foreach (var item in _ScannerCanvasUserCtrl.Model.Layers[0].Objects)
            {
                if (item is Arc)
                {
                    Arc arc = (Arc)item;
                    objectCenter = new Point2f((float)(_ImageWidth / 2 + arc.Center.X * _SystemParameter.LensMagnification / _SystemParameter.CameraPixelSize * 1000.0), (float)(_ImageHeight / 2 - arc.Center.Y * _SystemParameter.LensMagnification / _SystemParameter.CameraPixelSize * 1000.0));
                    radius = arc.Radius * _SystemParameter.LensMagnification / _SystemParameter.CameraPixelSize * 1000.0;
                    centerX = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageWidth / 2);
                    centerY = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageHeight / 2);
                    break;
                }
            }

            int radiusPixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);
            int imgCount = 0;
            double[] centerX_list = new double[dialog.FileNames.Length];
            double[] centerY_list = new double[dialog.FileNames.Length];
            double[] radiusAvg_list = new double[dialog.FileNames.Length];
            foreach (String file in dialog.FileNames)
            {
                Point[][] edgePointList;

                _OriginImageMat = Cv2.ImRead(file);

                int[] shrinkList = new int[] { 0, 0, 0, 0 };
                _ObjectGenerator.FindEdge(_OriginImageMat, radiusPixel, Margin, PointNum, CVThreshold, centerX, centerY, DetectPointPercent, CVJigSize, out Point[][] maxContour, out _DetectedContourCenter);
                _ObjectGenerator.CheckEdge(maxContour, shrinkList, _OriginImageMat.Height, _OriginImageMat.Width, centerX, centerY, _SystemParameter.EnableAutoMissAlign, out edgePointList);

                Point2f contourCenter = _ObjectGenerator.CalculateCentroid(edgePointList[0]);
                var detectedCenterX = ((long)contourCenter.X - _ImageWidth / 2) * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;
                var detectedCenterY = (_ImageHeight / 2 - (long)contourCenter.Y) * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;

                double[] radius_list = new double[PointNum];
                for (int i = 0; i < PointNum; i++)
                {

                    var radius_i = Math.Sqrt(((long)contourCenter.X - edgePointList[0][i].X) * ((long)contourCenter.X - edgePointList[0][i].X) + ((long)contourCenter.Y - edgePointList[0][i].Y) * ((long)contourCenter.Y - edgePointList[0][i].Y));
                    radius_list[i] = radius_i;
                }
                var radius_list_avg = radius_list.Average();
                var radius_final = radius_list_avg * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification / 1000.0;

                centerX_list[imgCount] = Math.Round(detectedCenterX, 3);
                centerY_list[imgCount] = Math.Round(detectedCenterY, 3);
                radiusAvg_list[imgCount] = Math.Round(radius_final, 3);
                imgCount++;
            }

            SaveCenterRadiusToCsv(centerX_list, centerY_list, radiusAvg_list);
            return;
        }
        private void SaveCenterRadiusToCsv(double[] centerXlist, double[] centerYlist, double[] radiusAvglist)
        {
            string savepath = Path.Combine(ConfigurationManager.AppSettings.Get("DATA_PATH"), "_vision", "EdgeContour", "Manual",
                 string.Format($"CenterRadius_{DateTime.Now.Year}_{DateTime.Now.Month}_{DateTime.Now.Day}_{DateTime.Now.Hour}_{DateTime.Now.Minute}.csv"));
            try
            {
                using (StreamWriter writer = new StreamWriter(savepath))
                {
                    writer.WriteLine("CenterX,CenterY,Radius_Avg");
                    for (int i = 0; i < centerXlist.Length; i++)
                    {
                        writer.WriteLine($"{centerXlist[i]},{centerYlist[i]},{radiusAvglist[i]}");
                    }
                }
                MessageUtil.CreateAndShowMessageDialog("Completed", $"Offset table is saved as {savepath}");
            }
            catch (Exception e)
            {
                Log.E(e.Message);
            }
        }
        private void PerformCmdFindReference(object obj)
        {
            if (_ConvertImageMat == null)
            {
                MessageUtil.CreateAndShowMessageDialog("Detect Edge is failed.", "Detect Edge is failed. Please Load image.");
                return;
            }

            _DetectImageMat = _ConvertImageMat.Clone();

            _Stopwatch.Start();
            Point[][] out_contours;
            double dPixelResolution = ((_SystemParameter.CameraPixelSize) / _SystemParameter.LensMagnification) / 1000.0;
            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
            double ref_x_mm = 0; double ref_y_mm = 0; double ref_th_deg = 0;
            int _page_no =CVThresholdCircle1;
            if (SelectedOption == "KS")
            {
                FovInfo _FovInfo = VisionRecipeManager.GetFovInfos().FirstOrDefault();
                PatternAgentBase _PatternAgent = PatternAgentManager.GetAgent(_FovInfo);
                var cameraDisplay = CameraDisplayManager.GetDisplay(_FovInfo, eDisplayType.Pattern) as CameraDisplay;
                int arc_cnt = 6* (_page_no / 2);
                for (int i = 0; i < _ScannerCanvasUserCtrl.Model.Layers[_page_no].Objects.Count; i += 2)
                {
                    var item = _ScannerCanvasUserCtrl.Model.Layers[_page_no].Objects[i];
                    if (item is Arc)
                    {


                        arc_cnt += 1;                        
                        var procPatternInfo = VisionRecipeManager.GetProcPatternInfo(_FovInfo, $"Arc{(_page_no / 2) + 1}_{arc_cnt-6 * (_page_no / 2)}", (eProcPatternId) arc_cnt-1);
                        var patternInfo = _PatternAgent.GetPatternInfo(_FovInfo, procPatternInfo.PatternId);
                        Log.I($"Finding pattern info procid : Arc{(_page_no / 2) + 1}_{arc_cnt - 6 * (_page_no / 2)}, patternid : {(eProcPatternId)arc_cnt - 1}, {patternInfo}");

                        UnitPoint center = ((Arc)item).Center;
                        double my_radius = ((Arc)item).Radius;
                        //int roi_height = _PatternAgent.GetFindROI(patternInfo).Height;
                        //int roi_width = _PatternAgent.GetFindROI(patternInfo).Width;
                        int roi_height = 736;
                        int roi_width = 1472;
                        //int roi_height = (int)cameraDisplay.ActualHeight*2;
                        //int roi_width = (int)cameraDisplay.ActualWidth*2;
                        //int roi_height = _PatternAgent.GetFindROI(patternInfo).Height;
                        //int roi_width = _PatternAgent.GetFindROI(patternInfo).Width;
                        Rect my_ROI = new Rect((int)(center.X / dPixelResolution + _DetectImageMat.Width / 2 - roi_width / 2), (int)(_DetectImageMat.Height / 2 - center.Y / dPixelResolution - roi_height / 2), roi_width, roi_height);
                        Mat roi_img = new Mat(_DetectImageMat, my_ROI);
                        Cv2.ImWrite($"D:/test_{arc_cnt}.png", roi_img);
                        Cv2.CvtColor(roi_img, roi_img, ColorConversionCodes.BGR2GRAY);
                        //MIL.MbufAllocColor(MilEnvironment.Instance.GetSystem(_cameraAgent._CamConfig.CamConnConfig.BoardSlotPos), 3, loadImg.Width, loadImg.Height, 8 + MIL.M_UNSIGNED, MIL.M_IMAGE + MIL.M_DISP + MIL.M_PROC, ref mil_roi_img);
                        MIL_ID mil_roi_img = _ObjectGenerator.ConvertMatToMilID(roi_img);

                        //MIL.MbufLoad($"D:/test_{arc_cnt}.png", mil_roi_img);
                        //Mat roi_img_img;
                        //_ObjectGenerator.ConvertMILToMat(mil_roi_img, out roi_img_img);
                        //Cv2.ImWrite($"D:/test_convert_{arc_cnt}.png", roi_img_img);
                        Point2d found_center_pixel, found_center_pixel_mm;

                        PatternResult _PatternResult = _PatternAgent.Find(patternInfo, mil_roi_img, cameraDisplay);
                        MIL.MbufFree(mil_roi_img);
                        if (_PatternResult.Status == eFoundStatus.FoundOK)
                        {
                            Log.W("Pattern is found.");
                            var resultsList = _PatternResult.Results.ToList();
                            found_center_pixel = new Point2d(resultsList[0].ImagePosition.X + my_ROI.X, resultsList[0].ImagePosition.Y + my_ROI.Y);
                            found_center_pixel_mm = new Point2d((found_center_pixel.X - _DetectImageMat.Width / 2) * dPixelResolution, (_DetectImageMat.Height / 2 - found_center_pixel.Y) * dPixelResolution);
                            UnitPoint offset = new UnitPoint(found_center_pixel_mm.X - center.X, found_center_pixel_mm.Y - center.Y);
                            Log.I($"Offset : {offset.X},{offset.Y}");

                            Cv2.Circle(_DetectImageMat, new Point(found_center_pixel.X, found_center_pixel.Y), (int)(my_radius / dPixelResolution), Scalar.Red, 8);
                            //Cv2.PutText(_DetectImageMat, resultsList[0].ToString(), new Point(found_center_pixel.X, found_center_pixel.Y), HersheyFonts.HersheySimplex, 2, Scalar.Red);
                        }
                        else
                        {
                            Log.W("Pattern is not found.");

                        }
                    }
                }
                ResultImage = _DetectImageMat.ToBitmapSource();
                return;
                //int[] threshold_array = new int[] { CVThresholdCircle1, CVThresholdCircle2, CVThresholdCircle3, CVThresholdCircle4, CVThresholdCircle5, CVThresholdCircle6 };
                //_RecipeDrawObejct = _ScannerCanvasUserCtrl.Model.Layers[0].Objects;
                //if (_RecipeDrawObejct.Count < 13) return;
                //if (!(_RecipeDrawObejct[12] is Spline)) return;
                //if (((Spline)_RecipeDrawObejct[12]).Center.Y < 0)
                //    threshold_array = new int[] { _SystemParameter.CVThresholdCircle2_1, _SystemParameter.CVThresholdCircle2_2, _SystemParameter.CVThresholdCircle2_3, _SystemParameter.CVThresholdCircle2_4, _SystemParameter.CVThresholdCircle2_5, _SystemParameter.CVThresholdCircle2_6 };

                //int circle_cnt = 0;
                //for (int i = 0; i < _ScannerCanvasUserCtrl.Model.Layers[0].Objects.Count; i += 2)
                //{
                //    var item = _ScannerCanvasUserCtrl.Model.Layers[0].Objects[i];
                //    if (item is Arc)
                //    {
                //        double my_radius = ((Arc)item).Radius;
                //        UnitPoint center = ((Arc)item).Center; ;
                //        var ROI_X = (center.X - my_radius * 2) / dPixelResolution + _DetectImageMat.Width / 2;
                //        var ROI_Y = -(center.Y + my_radius * 2) / dPixelResolution + _DetectImageMat.Height / 2;
                //        var ROI_size = my_radius * 4 / dPixelResolution;
                //        Point2f circle = _ObjectGenerator.find_circle_center(_DetectImageMat, new OpenCvSharp.Rect((int)ROI_X, (int)ROI_Y, (int)ROI_size, (int)ROI_size), threshold_array[circle_cnt], CVRadiusMargin, my_radius / dPixelResolution);
                //        circle_cnt += 1;
                //        circle = new Point2f((float)(circle.X + ROI_X), (float)(circle.Y + ROI_Y));
                //        //Point2f circle = _ObjectGenerator.find_circle_center(_DetectImageMat, new OpenCvSharp.Rect(3325, 4250, 500, 500), threshold, my_radius, my_radius / dPixelResolution);
                //        Cv2.Circle(_DetectImageMat, new Point(circle.X, circle.Y), (int)(my_radius / dPixelResolution), Scalar.Red, 8);
                //        circle = new Point2f((float)((circle.X - _DetectImageMat.Width / 2) * dPixelResolution), (float)((-circle.Y + _DetectImageMat.Height / 2) * dPixelResolution));
                //        UnitPoint offset = new UnitPoint(circle.X - center.X, circle.Y - center.Y);
                //        IDrawObject objclone = item.Clone();
                //        objclone.Move(offset);
                //        _ScannerCanvasUserCtrl.Model.Layers[0].Objects[i] = objclone;
                //        IDrawObject objclone_line = _ScannerCanvasUserCtrl.Model.Layers[0].Objects[i + 1].Clone();
                //        objclone_line.Move(offset);///
                //        _ScannerCanvasUserCtrl.Model.Layers[0].Objects[i + 1] = objclone_line;
                //    }
                //    else if (item is Line)
                //    {
                //        var line_length = Math.Abs(((Line)item).PF1.Y - ((Line)item).PF2.Y);
                //        if (line_length < 2) continue;
                //        int ROI_height = (int)(1.5 * line_length / dPixelResolution);
                //        int ROI_width = (int)(5 / dPixelResolution);
                //        //int ROI_width = (int)(0.8 * line_length / dPixelResolution);
                //        int ROI_X = (int)(((Line)item).PF1.X / dPixelResolution + _DetectImageMat.Width / 2) - ROI_width / 2;
                //        int ROI_Y = (int)(-Math.Max(((Line)item).PF1.Y, ((Line)item).PF2.Y) / dPixelResolution + _DetectImageMat.Height / 2) - ROI_height / 4;
                //        RotatedRect r = _ObjectGenerator.find_line_center(_DetectImageMat, new OpenCvSharp.Rect((int)ROI_X, (int)ROI_Y, (int)(ROI_width), (int)ROI_height), _CVThresholdLine1, _CVThresholdLine2);

                //        Point[] intVertices = new Point[4];
                //        for (int j = 0; j < 4; j++)
                //        {
                //            intVertices[j] = new Point(r.Points()[j].X + ROI_X, r.Points()[j].Y + ROI_Y);
                //        }
                //        Cv2.Polylines(_DetectImageMat, new Point[][] { intVertices }, true, Scalar.Red, 5);
                //        UnitPoint LineCenter = new UnitPoint((r.Center.X + ROI_X - _DetectImageMat.Width / 2) * dPixelResolution, (-r.Center.Y - ROI_Y + _DetectImageMat.Height / 2) * dPixelResolution);

                //        UnitPoint offset = new UnitPoint(LineCenter.X - (((Line)item).PF1.X + ((Line)item).PF2.X) / 2, LineCenter.Y - (((Line)item).PF1.Y + ((Line)item).PF2.Y) / 2);
                //        IDrawObject objclone = item.Clone();
                //        float angle = Math.Min(r.Angle, 90 - r.Angle);
                //        objclone.Rotate(angle, LineCenter);
                //        objclone.Move(offset);
                //        _ScannerCanvasUserCtrl.Model.Layers[0].Objects[i] = objclone;
                //    }
                //}
                //ResultImage = _DetectImageMat.ToBitmapSource();
                //return;
            }
            if (SelectedOption == "Flangeless")
            {

                OpenCvSharp.Rect[] ROIs = new OpenCvSharp.Rect[4];
                Point[] points = new Point[_ScannerCanvasUserCtrl.Model.Layers[0].Objects.Count];
                for (int i = 0; i < _ScannerCanvasUserCtrl.Model.Layers[0].Objects.Count; i++)
                {
                    if (_ScannerCanvasUserCtrl.Model.Layers[0].Objects[i] is Arc)
                    {
                        Arc arc = (Arc)(_ScannerCanvasUserCtrl.Model.Layers[0].Objects[i]);
                        points[i] = new Point(arc.Center.X / dPixelResolution + _DetectImageMat.Width / 2, -arc.Center.Y / dPixelResolution + _DetectImageMat.Height / 2);
                    }
                }
                RotatedRect rotatedRect = Cv2.MinAreaRect(points);
                for (int i = 0; i < 4; i++) ROIs[i] = new Rect((int)rotatedRect.Points()[i].X - 500, (int)rotatedRect.Points()[i].Y - 500, 1000, 1000);
                ROIs[0] = new Rect(915, 116, 1400, 1400);
                ROIs[1] = new Rect(8049, 170, 1400, 1400);
                ROIs[2] = new Rect(964, 3342, 1400, 1400);
                ROIs[3] = new Rect(8032, 3386, 1400, 1400);
                var (center, angle, four_points) = _ObjectGenerator.find_rectangle_center(_DetectImageMat, ROIs, 70);
                _Ref_X = center.X; _Ref_Y = center.Y;
                _Ref_T = angle;
                Cv2.Line(_DetectImageMat, new Point(four_points[0].X, four_points[0].Y), new Point(four_points[1].X, four_points[1].Y), Scalar.Red, 3);
                Cv2.Line(_DetectImageMat, new Point(four_points[0].X, four_points[0].Y), new Point(four_points[3].X, four_points[3].Y), Scalar.Red, 3);
                Cv2.Line(_DetectImageMat, new Point(four_points[2].X, four_points[2].Y), new Point(four_points[3].X, four_points[3].Y), Scalar.Red, 3);
                Cv2.Line(_DetectImageMat, new Point(four_points[2].X, four_points[2].Y), new Point(four_points[1].X, four_points[1].Y), Scalar.Red, 3);
                Cv2.Line(_DetectImageMat, new Point(center.X - 20 * Math.Sin(angle), center.Y - 20 * Math.Cos(angle)), new Point(center.X + 20 * Math.Sin(angle), center.Y + 20 * Math.Cos(angle)), Scalar.Red, 3);
                Cv2.Line(_DetectImageMat, new Point(center.X - 20 * Math.Sin(angle), center.Y - 20 * Math.Cos(angle)), new Point(center.X + 20 * Math.Sin(angle), center.Y + 20 * Math.Cos(angle)), Scalar.IndianRed, 3);
                ResultImage = _DetectImageMat.ToBitmapSource();
                ref_x_mm = (_Ref_X * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0;
                ref_y_mm = (_Ref_Y * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0;
                ref_th_deg = _Ref_T * 180 / Math.PI;
                ReferenceX = Math.Round(ref_x_mm, 2);
                ReferenceY = Math.Round(ref_y_mm, 2);
                ReferenceTheta = ref_th_deg;
                Log.I($"Center: ({Math.Round(ref_x_mm, 2)}(mm), {Math.Round(ref_y_mm, 2)}(mm)), Theta: {ref_th_deg},");
                return;

            }
            if (SelectedOption == "LFW")
            {
                //ref_x = 2412; ref_y = 1832;
                _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;
                foreach (var item in _ScannerCanvasUserCtrl.Model.Layers[0].Objects)
                {
                    if (item is Arc)
                    {
                        Arc arc = (Arc)item;
                        _Ref_X = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageWidth / 2);
                        _Ref_Y = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageHeight / 2);
                        break;
                    }
                }
            }
            var (_, _, theta, _, cX_pixel, cY_pixel, ScX_pixel, ScY_pixel, radius) = _ObjectGenerator.FindOffset(_ConvertImageMat, CVThreshold, _Ref_X, _Ref_Y, 0, out out_contours, SelectedOption);
            if (out_contours[0].Length == 0)
            {
                Log.E("Failed to Find Objects");
                MessageUtil.CreateAndShowMessageDialog("Error", "Failed to Find Objects");
                return;
            }
            _Stopwatch.Stop();
            Log.I($"Elapsed Time : {(float)_Stopwatch.ElapsedMilliseconds}");

            Cv2.DrawContours(_DetectImageMat, out_contours, 0, new Scalar(0, 255, 255), 3);
            if (SelectedOption == "Inzi")
            {
                Cv2.Circle(_DetectImageMat, new Point(cX_pixel, cY_pixel), (int)radius, new Scalar(0, 255, 255), 3);
                RotatedRect rotatedRect = Cv2.MinAreaRect(out_contours[1]);
                Point2f[] vertices = rotatedRect.Points();
                for (int i = 0; i < 4; i++)
                {
                    Cv2.Line(_DetectImageMat, (Point)vertices[i], (Point)vertices[(i + 1) % 4], new Scalar(0, 255, 0), 2);
                }
                Cv2.Circle(_DetectImageMat, new Point(cX_pixel, cY_pixel), 20, new Scalar(0, 0, 255), -1);
                Cv2.Circle(_DetectImageMat, new Point(ScX_pixel, ScY_pixel), 20, new Scalar(0, 0, 255), -1);
            }
            else
            {
                int px = ScX_pixel;
                int py = ScY_pixel;
                Cv2.Line(_DetectImageMat, new Point(cX_pixel, cY_pixel), new Point(px, py), new Scalar(0, 255, 0), 2);
                theta = theta * Math.PI / 180;
            }
            _Ref_X = cX_pixel;
            _Ref_Y = cY_pixel;
            _Ref_T = theta;
            cX_pixel -= _ConvertImageMat.Width / 2;
            cY_pixel = (_ConvertImageMat.Height / 2 - cY_pixel);
            ref_x_mm = (cX_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0;
            ref_y_mm = (cY_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0;
            ref_th_deg = theta * 180 / Math.PI;
            Log.I($"Center: ({Math.Round(ref_x_mm, 2)}(mm), {Math.Round(ref_y_mm, 2)}(mm)), Theta: {ref_th_deg},");

            _Stopwatch.Reset();

            ResultImage = _DetectImageMat.ToBitmapSource();

            //mm로 표시해주기 위해서 Log로 남기는 변수를 띄워준다
            ReferenceX = Math.Round(ref_x_mm, 2);
            ReferenceY = Math.Round(ref_y_mm, 2);
            ReferenceTheta = ref_th_deg;
        }

        private void PerformCmdFindObjectOffset(object obj)
        {
            _DetectImageMat = _ConvertImageMat.Clone();
            //_ConvMatImage_after = Cv2.ImRead("D:\\Ring_result.png");
            double dPixelResolution = ((_SystemParameter.CameraPixelSize) / _SystemParameter.LensMagnification) / 1000.0;
            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;

            if (SelectedOption == "KS")
            {
                for (int i = 0; i < _ScannerCanvasUserCtrl.Model.Layers[CVThresholdCircle1].Objects.Count; i++)
                {
                    var item = _ScannerCanvasUserCtrl.Model.Layers[CVThresholdCircle1].Objects[i];
                    double my_radius = 0;
                    int ROI_X = 0;
                    int ROI_Y = 0;
                    int ROI_W = 0;
                    int ROI_H = 0;
                    double bead_size1 = 0;
                    double bead_size2 = 0;
                    int search_size = 0;
                    UnitPoint center = new UnitPoint(0, 0);
                    OpenCvSharp.Point p1 = new OpenCvSharp.Point();
                    OpenCvSharp.Point p2 = new OpenCvSharp.Point();
                    Point[][] contour;
                    int type = -1;
                    if (item is Arc)
                    {
                        center = ((Arc)item).Center;
                        my_radius = ((Arc)item).Radius;
                        type = 0;
                        ROI_W = 779;
                        ROI_H =  779;
                        ROI_X = (int)(center.X / dPixelResolution) + _ConvertImageMat.Width / 2 - ROI_W/2;
                        ROI_Y = -(int)(center.Y / dPixelResolution) + _ConvertImageMat.Height / 2 - ROI_H / 2;
                        search_size = (int)(ROI_W / 10);
                        //(bead_size1, bead_size2, p1, p2, contour) = _ObjectGenerator.check_bead_size(_ConvertImageMat, _ConvertImageMat, new OpenCvSharp.Rect((int)ROI_X, (int)ROI_Y, ROI_W, ROI_H), type, CVSearchSize);
                        int[] bead_size_info = new int[3];
                        Point[] start_bead_point_info = new Point[3];
                        Point[] end_bead_point_info = new Point[3];
                        (bead_size_info, start_bead_point_info, end_bead_point_info, contour) = _ObjectGenerator.check_bead_size(_ConvertImageMat, _ConvertImageMat, new OpenCvSharp.Rect((int)ROI_X, (int)ROI_Y, ROI_W, ROI_H), type, search_size);

                        //Cv2.Line(_DetectImageMat, p1, p2, Scalar.LimeGreen, 10);
                        //Cv2.Line(_DetectImageMat, new Point(p1.X, p1.Y+10), new Point(p1.X, p1.Y - 10), Scalar.LimeGreen, 10);
                        //Cv2.Line(_DetectImageMat, new Point(p2.X, p2.Y+10), new Point(p2.X, p2.Y - 10), Scalar.LimeGreen, 10);
                        //Cv2.PutText(_DetectImageMat, $"{Math.Round(bead_size1 * dPixelResolution,3)} mm", new Point(p1.X + 10, p1.Y + 220), HersheyFonts.HersheyComplexSmall, 10, Scalar.LimeGreen, 25);
                        int min_bead_size = int.MaxValue;
                        int average_bead_size = 0;
                        for (int li = 0; li < bead_size_info.Length; li++)
                        {
                            p1 = start_bead_point_info[li];
                            p2 = end_bead_point_info[li];
                            Cv2.Line(_DetectImageMat, p1, p2, Scalar.LimeGreen, 10);
                            if (Math.Abs(p1.X - p2.X) > Math.Abs(p1.Y - p2.Y))
                            {
                                Cv2.Line(_DetectImageMat, new Point(p1.X, p1.Y + 10), new Point(p1.X, p1.Y - 10), Scalar.LimeGreen, 10);
                                Cv2.Line(_DetectImageMat, new Point(p2.X, p2.Y + 10), new Point(p2.X, p2.Y - 10), Scalar.LimeGreen, 10);
                            }
                            else
                            {
                                Cv2.Line(_DetectImageMat, new Point(p1.X + 10, p1.Y), new Point(p1.X - 10, p1.Y), Scalar.LimeGreen, 10);
                                Cv2.Line(_DetectImageMat, new Point(p2.X + 10, p2.Y), new Point(p2.X - 10, p2.Y), Scalar.LimeGreen, 10);
                            }
                            //    Cv2.PutText(_DetectImageMat, $"{Math.Round(bead_size_info[li] * dPixelResolution, 3)} mm", new Point(p1.X + 10, p1.Y + 220), HersheyFonts.HersheyComplexSmall, 10, Scalar.LimeGreen, 25);
                            average_bead_size += bead_size_info[li];
                            if (min_bead_size > bead_size_info[li]) min_bead_size = bead_size_info[li];
                        }
                        //Cv2.PutText(_DetectImageMat, $"MIN : {Math.Round(min_bead_size * dPixelResolution, 3)}", new Point(ROI_X - 600, ROI_Y + 800), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                        //Cv2.PutText(_DetectImageMat, $"AVG : {Math.Round(average_bead_size * dPixelResolution / bead_size_info.Length, 3)}", new Point(ROI_X - 600, ROI_Y + 1000), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                        if(_ConvertImageMat.Height / 2 > ROI_Y)
                        {
                            Cv2.PutText(_DetectImageMat, $"1 : {Math.Round(bead_size_info[0] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y + 1200), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Cv2.PutText(_DetectImageMat, $"2 : {Math.Round(bead_size_info[1] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y + 1400), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Cv2.PutText(_DetectImageMat, $"3 : {Math.Round(bead_size_info[2] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y + 1600), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Cv2.PutText(_DetectImageMat, $"4 : {Math.Round(bead_size_info[3] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y + 1800), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Log.I($"1:{bead_size_info[0]}, 2:{bead_size_info[1]}, 3:{bead_size_info[2]}, 4:{bead_size_info[3]}");
                        }
                        else
                        {
                            Cv2.PutText(_DetectImageMat, $"1 : {Math.Round(bead_size_info[0] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y - 200), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Cv2.PutText(_DetectImageMat, $"2 : {Math.Round(bead_size_info[1] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y - 400), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Cv2.PutText(_DetectImageMat, $"3 : {Math.Round(bead_size_info[2] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y - 600), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Cv2.PutText(_DetectImageMat, $"4 : {Math.Round(bead_size_info[3] * dPixelResolution, 3)}", new Point(ROI_X - 200, ROI_Y - 800), HersheyFonts.HersheyComplexSmall, 11, Scalar.LimeGreen, 25);
                            Log.I($"1:{bead_size_info[0]}, 2:{bead_size_info[1]}, 3:{bead_size_info[2]}, 4:{bead_size_info[3]}");
                        }
                    }
                    else if (item is Spline)
                    {
                        center = ((Spline)item).Center;
                        my_radius = ((Spline)item).Radius;
                        type = 1;
                        ROI_W = 492;
                        ROI_X = (int)(center.X / dPixelResolution) + _ConvertImageMat.Width / 2 - ROI_W / 2;
                        ROI_Y = -(int)(center.Y / dPixelResolution) + _ConvertImageMat.Height / 2 - ROI_W / 2;

                        double[] spline_y = new double[3];
                        spline_y[0] = ((Spline)_ScannerCanvasUserCtrl.Model.Layers[CVThresholdCircle1].Objects[0]).Center.Y;
                        spline_y[1] = ((Spline)_ScannerCanvasUserCtrl.Model.Layers[CVThresholdCircle1].Objects[1]).Center.Y;
                        spline_y[2] = ((Spline)_ScannerCanvasUserCtrl.Model.Layers[CVThresholdCircle1].Objects[2]).Center.Y;
                        Array.Sort(spline_y);
                        int spline_empty_spot_y = (int)(_DetectImageMat.Height / 2 - (spline_y[0] - ((Spline)_ScannerCanvasUserCtrl.Model.Layers[CVThresholdCircle1].Objects[0]).Radius * 1.5) / dPixelResolution);
                        int[] bead_size_info = new int[3];
                        Point[] start_bead_point_info = new Point[3];
                        Point[] end_bead_point_info = new Point[3];
                        (bead_size_info, start_bead_point_info, end_bead_point_info, contour) = _ObjectGenerator.check_bead_size(_ConvertImageMat, _ConvertImageMat, new OpenCvSharp.Rect((int)ROI_X, (int)ROI_Y, ROI_W, ROI_W), type, spline_empty_spot_y);
                        bead_size1 = bead_size_info[0];
                        bead_size2 = bead_size_info[1];
                        p1 = start_bead_point_info[0];
                        // (bead_size1, bead_size2, p1, p2, contour) = _ObjectGenerator.check_bead_size(_ConvertImageMat, _ConvertImageMat, new OpenCvSharp.Rect((int)ROI_X, (int)ROI_Y, ROI_W, ROI_W), type, spline_empty_spot_y);
                        Log.I($"Spiral Bead Size : {Math.Round(bead_size1 * dPixelResolution, 3)} mm, {Math.Round(bead_size2 * dPixelResolution, 3)} mm");
                        Cv2.Line(_DetectImageMat, new Point(p1.X - bead_size1 / 2, p1.Y), new Point(p1.X + bead_size1/2, p1.Y), Scalar.LimeGreen, 10);
                        Cv2.Line(_DetectImageMat, new Point(p1.X, p1.Y+bead_size2/2), new Point(p1.X, p1.Y-bead_size2/2), Scalar.LimeGreen, 10);
                        Cv2.Line(_DetectImageMat, new Point(p1.X - bead_size1 / 2, p1.Y+10), new Point(p1.X - bead_size1 / 2, p1.Y-10), Scalar.LimeGreen, 10);
                        Cv2.Line(_DetectImageMat, new Point(p1.X + bead_size1 / 2, p1.Y + 10), new Point(p1.X + bead_size1 / 2, p1.Y - 10), Scalar.LimeGreen, 10);

                        Cv2.Line(_DetectImageMat, new Point(p1.X-10,p1.Y-bead_size2/2), new Point(p1.X + 10 / 2, p1.Y - bead_size2 / 2), Scalar.LimeGreen, 10);
                        Cv2.Line(_DetectImageMat, new Point(p1.X-10,p1.Y+bead_size2/2), new Point(p1.X + 10 / 2, p1.Y + bead_size2 / 2), Scalar.LimeGreen, 10);

                        Cv2.PutText(_DetectImageMat, $"W : {Math.Round(bead_size1 * dPixelResolution,3)} mm", new Point(p1.X+bead_size1/2, p1.Y), HersheyFonts.HersheyComplexSmall, 10, Scalar.LimeGreen, 25);
                        Cv2.PutText(_DetectImageMat, $"H : {Math.Round(bead_size2 * dPixelResolution,3)} mm", new Point(p1.X + bead_size1 / 2, p1.Y +bead_size2/2+50), HersheyFonts.HersheyComplexSmall, 10, Scalar.LimeGreen, 25);


                    }
                }

                ResultImage = _DetectImageMat.ToBitmapSource();
                return;
            }
            _Stopwatch.Start();
            Point[][] out_contours;
            var (offsetX, offsetY, _, offsetT, cX_pixel, cY_pixel, ScX_pixel, ScY_pixel, radius) = _ObjectGenerator.FindOffset(_ConvertImageMat, CVThreshold, _Ref_X, _Ref_Y, _Ref_T, out out_contours, SelectedOption);
            if (out_contours[0].Length == 0)
            {
                Log.E("Failed to Find Objects");
                MessageUtil.CreateAndShowMessageDialog("Error", "Failed to Find Objects");
                return;
            }

            Cv2.DrawContours(_DetectImageMat, out_contours, 0, new Scalar(0, 255, 255), 3);
            if (SelectedOption == "Inzi")
            {
                Cv2.Circle(_DetectImageMat, new Point(cX_pixel, cY_pixel), (int)radius, new Scalar(0, 255, 255), 3);
                Cv2.DrawContours(_DetectImageMat, out_contours, 1, new Scalar(0, 255, 255), 3);
                RotatedRect rotatedRect = Cv2.MinAreaRect(out_contours[1]);
                Point2f[] vertices = rotatedRect.Points();
                for (int i = 0; i < 4; i++)
                {
                    Cv2.Line(_DetectImageMat, (Point)vertices[i], (Point)vertices[(i + 1) % 4], new Scalar(0, 255, 0), 2);
                }

                Cv2.Circle(_DetectImageMat, new Point(cX_pixel, cY_pixel), 20, new Scalar(0, 0, 255), -1);
                Cv2.Circle(_DetectImageMat, new Point(ScX_pixel, ScY_pixel), 20, new Scalar(0, 0, 255), -1);
                cX_pixel -= _ConvertImageMat.Width / 2;
                cY_pixel = (_ConvertImageMat.Height / 2 - cY_pixel);
                _ObjectCenter = new UnitPoint((cX_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0, (cY_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0);
                (_Offset_X, _Offset_Y, _Offset_T) = ((offsetX * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0, (offsetY * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0, offsetT);

            }
            else
            {
                int px = ScX_pixel;
                int py = ScY_pixel;
                Cv2.Line(_DetectImageMat, new Point(cX_pixel, cY_pixel), new Point(px, py), new Scalar(0, 255, 0), 2);
                cX_pixel -= _ConvertImageMat.Width / 2;
                cY_pixel = (_ConvertImageMat.Height / 2 - cY_pixel);
                _ObjectCenter = new UnitPoint((cX_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0, (cY_pixel * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0);
                (_Offset_X, _Offset_Y, _Offset_T) = ((offsetX * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0, (offsetY * _SystemParameter.CameraPixelSize / _SystemParameter.LensMagnification) / 1000.0, offsetT);
                _Offset_T = _Offset_T * Math.PI / 180;
            }
            _Stopwatch.Stop();

            Log.I($"Elapsed Time : {(float)_Stopwatch.ElapsedMilliseconds}");
            Log.I($"Center Offset: ({(float)_Offset_X}(mm), {(float)_Offset_Y}(mm)), Theta Offset: {(float)(_Offset_T * 180 / Math.PI)},");
            _Stopwatch.Reset();

            ResultImage = _DetectImageMat.ToBitmapSource();

            OffsetX = _Offset_X;
            OffsetY = _Offset_Y;
            OffsetTheta = _Offset_T * 180 / Math.PI; //deg
        }

        private void PerformCmdUpdateRecipeObject(object obj)
        {
            var result = MessageUtil.ShowYesNoMessageDialog("Update Recipe", "Update the object in the Recipe?");
            if (result == false)
            {
                return;
            }

            UpdateRecipeObject();
        }

        private void UpdateRecipeObject()
        {
            // Recipe 에서 볼수 있도록 한 임시 함수.
            // 저장누르면 recipe 가 바뀌므로 주의

            // Recipe 의 Layer 0번을 받아온다
            var mainPage = WeldingRecipeManager.GetWeldingPage();
            _ScannerCanvasUserCtrl = mainPage.ScannerCanvasCtrlTeaching;

            for (int i = 0; i < (_ScannerCanvasUserCtrl.Model.Layers.Length); i++)
            {
                List<IDrawObject> sourcelist = _ScannerCanvasUserCtrl.Model.Layers[i].Objects;
                _ObjectGenerator.ReplaceObject(sourcelist, _Offset_X, _Offset_Y, _Offset_T, _ObjectCenter);
            }

            _ScannerCanvasUserCtrl.Update();
            mainPage.UpdateObjetsInTreeView();
        }
        private void PerformCmdRecommendEdgeDetectParams(object obj)
        {
            // 추후 기능 사용시 수정 필요
            /*
            var result = MessageUtil.ShowYesNoMessageDialog("RCC", "Recommend EdgeDetect parameters(Threshold, ShrinkPixel)?");
            if (result == false) {
                return;
            }

            // 최소값, 최대값 정해두고 그 안에서 찾자. 이거까지 parameter 로 뺄 필요는 없을듯
            // mask image 로 할경우 ConvImg 를 MaskedImg 로 바꿔줄 것
            // Pixel의 Center와 Pixel간 거리의 min, max를 구해서 minmax의 차이가 가장 작은 threshold를 추천한다


            //double Threshold = 3;
            // Check Radius를 사용하여 센터의 위치가 맞는 최소값을 기준으로 시작
            double Threshold = CVThreshold;

            int loopcnt = 20;   // Threshold 시작부터 cnt 까지 증가하면서 찾는다.
            Func<double, double, double> GetDistance = (x, y) => Math.Sqrt(x * x + y * y);

            //double range = 9999;
            //double RecommandedThreshold = 10;
            double RecommandedThreshold = CVThreshold;

            double min_dist = 9999;
            double contour_min_dist = 9999;

            //List<double> temp_dist = new List<double>();
            int centerX = 0, centerY = 0;
            foreach (var item in _ScannerCanvasUserCtrl.Model.Layers[0].Objects) {
                if (item is Arc) {
                    Arc arc = (Arc)item;
                    centerX = (int)(arc.Center.X * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageWidth / 2);
                    centerY = (int)(-arc.Center.Y * 1000.0 / _SystemParameter.CameraPixelSize * _SystemParameter.LensMagnification + _ImageHeight / 2);
                    break;
                }
            }

            int Radius_Pixel = (int)(((Radius * _SystemParameter.LensMagnification) / _SystemParameter.CameraPixelSize) * 1000.0);
            for (int i = 0; i < loopcnt; i++) {
                //maxContour = objGenerator.ReSizeFindMaxContour(ConvImg, 2, Threshold, CVShrinkPixel);
                //objGenerator.FindEdge(ConvImg, 1508, 10, 3600, Threshold, CVShrinkPixel, out maxContour);
                _ObjectGenerator.FindEdge(_ConvertImageMat, Radius_Pixel, Margin, PointNum, Threshold, centerX, centerY, CVShrinkPixel, CVShrinkPixel2, CVShrinkPixel3, CVShrinkPixel4, DetectPointPercent, out _MaxContour);

                //Point2f centroid = objGenerator.CalculateCentroid(maxContour[0]);
                //if (Single.IsNaN(centroid.X) || Single.IsNaN(centroid.Y)) continue;


                // min/max가 아닌 Check Radius를 통해 입력한 Radius 길이로 비교(min_dist)
                //double min = 9999;
                //double max = -9999;

                for (int j = 0; j < _MaxContour[0].Length; j++) {

                    //double dist = GetDistance(maxContour[0][j].X - centroid.X, maxContour[0][j].Y - centroid.Y);
                    // Contour의 무게 중심 기준이 아닌, Check Radius를 토대로 찾은 센터를 기준으로 진행
                    double dist = GetDistance(_MaxContour[0][j].X - _CenterPoint.X, _MaxContour[0][j].Y - _CenterPoint.Y);

                    //if (dist < min)
                    //    min = dist;
                    //if (dist > max)
                    //    max = dist;

                    double diff_dist = Math.Abs(Radius_Pixel - dist);

                    if (diff_dist < contour_min_dist) {
                        contour_min_dist = diff_dist;
                    }
                }
                //if (range > max - min)
                //{
                //    range = max - min;
                //    RecommandedThreshold = Threshold;
                //}

                //temp_dist.Add(contour_min_dist);

                if (min_dist > contour_min_dist) {
                    min_dist = contour_min_dist;
                    RecommandedThreshold = Threshold;
                }

                Threshold = Threshold + 1;
            }
            CVThreshold = RecommandedThreshold;

            _ObjectGenerator.FindEdge(_ConvertImageMat, Radius_Pixel, Margin, PointNum, CVThreshold, centerX, centerY, CVShrinkPixel, CVShrinkPixel2, CVShrinkPixel3, CVShrinkPixel4, DetectPointPercent, out _MaxContour);

            UpdateDateCorrection(_MaxContour);
            DrawCVEdgeContour(_MaxContour);


            _ObjectGenerator.SetInterlockProperties(DrawObjectDistanceRange, DrawObjectArcLengthMax, DrawObjectLengthSumDiffRange, DrawObjectCenterXYDiffRange);
            if (!GetArcInfoFromRecipe()) {
                return;
            }

            //객체 생성 후 객체의 시작점을 기준으로 센터까지의 거리를 구해서 평균 한 후 기존 arc의 반지름과의 차이가 가작 작은 값을 추천한다
            int loopShrinkcnt = 60;
            //double dMinLengthDiff = 9999;
            double dMinRadiusDiff = 9999;
            int shrinkPixel = 0;
            //int Radius_Pixel = (int)(((Radius * _systemParam.LensMagnification) / _systemParam.CameraPixelSize) * 1000.0);
            for (int i = 0; i < loopShrinkcnt; i++) {
                //maxContour = objGenerator.ReSizeFindMaxContour(ConvImg, 2, CVThreshold, i);

                _ObjectGenerator.FindEdge(_ConvertImageMat, Radius_Pixel, Margin, PointNum, CVThreshold, centerX, centerY, CVShrinkPixel, CVShrinkPixel2, CVShrinkPixel3, CVShrinkPixel4, DetectPointPercent, out _MaxContour);
                if (_VisionType == "OpenCV") {
                    _ObjectGenerator.SetPolygonFromList(_MaxContour);
                } else {
                    _ObjectGenerator.SetPolygonFromList(_EdgePoints);
                }
                _ObjectGenerator.CalculateAutoPath(MergeDist, MaxArcRadius, LineTolerance, ArcTolerance);
                _ObjectGenerator.ConvertPathItemToDrawingObjects(LineDefualtWidth, out _DestDrawObjectList);
                _ObjectGenerator.CheckInterlockDrawingObjectPosition(_DestDrawObjectList);

                // objGenerator.fDetectedContourRadius 는 가장 먼 point 로 Radius 를 구해줘서 ShrinkPixel이 크게 잡힌다.
                // point 들의 평균이 가장 작은 것으로 고쳐주자.
                //double radiusdiff = Math.Abs(objGenerator.m_OriginArc.Radius - objGenerator.fDetectedContourRadius);
                double radiusdiff = 0;
                List<double> lsPointRadius = new List<double>();
                foreach (var item in _DestDrawObjectList) {
                    lsPointRadius.Add(GetDistance((item.PF1.X - _ObjectGenerator.DetectedContourCenter.X), (item.PF1.Y - _ObjectGenerator.DetectedContourCenter.Y)));
                }

                radiusdiff = Math.Abs(lsPointRadius.Average() - _ObjectGenerator.m_OriginArc.Radius);
                if (radiusdiff < dMinRadiusDiff) {
                    dMinRadiusDiff = radiusdiff;
                    shrinkPixel = i;
                }

                //double lengthdiff = Math.Abs(objGenerator.m_OriginArc.Length - objGenerator.dPathLengthSum);
                //if (lengthdiff < dMinLengthDiff)
                //{
                //    dMinLengthDiff = lengthdiff;
                //    ShrinkPixel = i;
                //}
            }

            CVShrinkPixel = shrinkPixel;
            //maxContour = objGenerator.ReSizeFindMaxContour(ConvImg, 2, CVThreshold, CVShrinkPixel);
            _ObjectGenerator.FindEdge(_ConvertImageMat, Radius_Pixel, Margin, PointNum, CVThreshold, centerX, centerY, CVShrinkPixel, CVShrinkPixel2, CVShrinkPixel3, CVShrinkPixel4, DetectPointPercent, out _MaxContour);

            UpdateDateCorrection(_MaxContour);
            DrawCVEdgeContour(_MaxContour);
            //GenerateDrawingObject(obj);
            GenerateDrawingObject();
            */

        }

        private void PerformCmdCenterDetectTest(object obj)
        {
            _MinContour = FindMinContourForCenter(_ConvertImageMat, CVThreshold);
            DrawCVCenterContour(_MinContour);
        }

        private Point[][] FindMinContourForCenter(Mat oriImg, double threshold)
        {
            // Convert to grayscale
            Mat grayImg = new Mat();
            Cv2.CvtColor(oriImg, grayImg, ColorConversionCodes.BGR2GRAY);

            // Apply threshold
            Mat thresImg = new Mat();
            Cv2.Threshold(grayImg, thresImg, threshold, 200, ThresholdTypes.BinaryInv);

            // Find contours
            Point[][] contours;
            HierarchyIndex[] hierarchy;
            Cv2.FindContours(thresImg, out contours, out hierarchy, RetrievalModes.CComp, ContourApproximationModes.ApproxSimple);
            //string InvertedImgfilePath = Path.Combine(ConfigurationManager.AppSettings.Get("DATA_PATH"), "_vision", "EdgeContour", "ImgTest",
            //     string.Format($"InvertedImg{DateTime.Now.Year}_{DateTime.Now.Month}_{DateTime.Now.Day}.jpg"));
            //Cv2.ImWrite(InvertedImgfilePath, InvertedImg);
            int minWidth = 150;
            int minWSize = int.MaxValue;
            int minCntNo = 0;
            for (int i = 0; i < contours.Length; i++)
            {
                Rect rect = Cv2.BoundingRect(contours[i]);
                if (rect.Width < minWidth)
                {
                    continue;
                }
                if (minWSize > rect.Width)
                {
                    minWSize = rect.Width;
                    minCntNo = i;
                }
            }

            // Create an empty image to draw the minimum contour
            Mat minCntImg = Mat.Zeros(oriImg.Size(), MatType.CV_8UC1);
            // Draw the minimum contour
            Cv2.DrawContours(minCntImg, contours, minCntNo, Scalar.White, -1);

            // Find the contour again in the drawn image
            Point[][] minContour;
            Cv2.FindContours(minCntImg, out minContour, out hierarchy, RetrievalModes.External, ContourApproximationModes.ApproxSimple);

            return minContour;
        }

        private void DrawCVCenterContour(Point[][] minContour)
        {
            // Draw the contour on the image
            _DetectImageMat = _ConvertImageMat.Clone();

            Rect minRect = Cv2.BoundingRect(minContour[0]);
            double centerX = minRect.X + (minRect.Width / 2);
            double centerY = minRect.Y + (minRect.Height / 2);

            double mCenterX = (((centerX - _DetectImageMat.Width / 2) * _SystemParameter.CameraPixelSize) / _SystemParameter.LensMagnification) / 1000.0;
            double mCenterY = (((_DetectImageMat.Height / 2 - centerY) * _SystemParameter.CameraPixelSize) / _SystemParameter.LensMagnification) / 1000.0;

            //_CenterX = mCenterX;
            //_CenterY = mCenterY;

            Cv2.DrawContours(_DetectImageMat, minContour, -1, new Scalar(0, 255, 0), 2);
            Cv2.Line(_DetectImageMat, new Point(centerX - 50, centerY), new Point(centerX + 50, centerY), new Scalar(0, 0, 255), 5);
            Cv2.Line(_DetectImageMat, new Point(centerX, centerY - 50), new Point(centerX, centerY + 50), new Scalar(0, 0, 255), 5);

            ResultImage = _DetectImageMat.ToBitmapSource();
            MessageUtil.CreateAndShowMessageDialog("Circle Find Success", string.Format("{0:0.00} , {1:0.00}", mCenterX, mCenterY));

        }

        private void PerformCmdSaveSystemParameter(object obj)
        {
            var result = MessageUtil.ShowYesNoMessageDialog("RCC", "Save RCC parameters in system parameters?");
            if (result == false)
            {
                return;
            }

            _SystemParameter = _Aurora.SettingEntry[CommonSettingIds.SystemParameter] as SystemParameter;

            // EdgeDetect Param
            _SystemParameter.CVThreshold = CVThreshold;
            _SystemParameter.CVShrinkPixel = CVShrinkPixel;
            _SystemParameter.CVShrinkPixel2 = CVShrinkPixel2;
            _SystemParameter.CVShrinkPixel3 = CVShrinkPixel3;
            _SystemParameter.CVShrinkPixel4 = CVShrinkPixel4;
            _SystemParameter.Radius = Radius; // mm
            _SystemParameter.Margin = Margin; // mm
            _SystemParameter.PointNum = PointNum; // divide count
            _SystemParameter.DetectPointPercent = DetectPointPercent; // %
            _SystemParameter.CVJigSize = CVJigSize;
            _SystemParameter.EnableAutoMissAlign = EnableAutoMissAlign;

            // GenObejct Param
            _SystemParameter.ObjectNumber = ObjectNumber;
            _SystemParameter.dMergeDist = MergeDist;
            _SystemParameter.nMaxArcRadius = MaxArcRadius;
            _SystemParameter.nLineTolerance = LineTolerance;
            _SystemParameter.nArcTolerance = ArcTolerance;
            _SystemParameter.fLineDefualtWidth = LineDefualtWidth;

            // DrawObejct Interlock Param
            _SystemParameter.DrawObjectDistanceRange = DrawObjectDistanceRange; // mm
            _SystemParameter.DrawObjectLengthSumDiffRange = DrawObjectLengthSumDiffRange; // mm
            _SystemParameter.DrawObjectArcLengthMax = DrawObjectArcLengthMax; // mm
            _SystemParameter.DrawObjectCenterXYDiffRange = DrawObjectCenterXYDiffRange; //mm

            // CheckEdge Param
            _SystemParameter.MaxMinDiffHigh = MaxMinDiffHigh;
            _SystemParameter.MaxMinDiffLow = MaxMinDiffLow;
            _SystemParameter.CheckCenterDiff = CheckCenterDiff;
            _SystemParameter.DistortionCenterDiff = DistortionCenterDiff;

            // Reference는 값을 직접 입력하는 것으로 하자
            //_SystemParameter.ReferenceX = _Ref_X; //mm
            //_SystemParameter.ReferenceY = _Ref_Y; //mm
            //_SystemParameter.ReferenceTh = _Ref_T; //deg

            //KS RCC
            _SystemParameter.CVThresholdCircle1 = CVThresholdCircle1;
            _SystemParameter.CVThresholdCircle2 = CVThresholdCircle2;
            _SystemParameter.CVThresholdCircle3 = CVThresholdCircle3;
            _SystemParameter.CVThresholdCircle4 = CVThresholdCircle4;
            _SystemParameter.CVThresholdCircle5 = CVThresholdCircle5;
            _SystemParameter.CVThresholdCircle6 = CVThresholdCircle6;
            _SystemParameter.CVThresholdSpiral1 = CVThresholdSpiral1;
            _SystemParameter.CVThresholdSpiral2 = CVThresholdSpiral2;
            _SystemParameter.CVRadiusMargin = CVRadiusMargin;
            _SystemParameter.CVSearchSize = CVSearchSize;
            _Aurora.SettingEntry.Save(CommonSettingIds.SystemParameter, _SystemParameter, "ManualRCCOperation");
        }

        // Flying Vision + Detect Image + Generate Object + Welding Sequence Functions
        private void PerformCmdRunManualRunRCC(object obj)
        {
            var result = MessageUtil.ShowYesNoMessageDialog("RCC", "Start ManualRunRCC Sequence?");
            if (result == false)
            {
                return;
            }

            if (VisionRecipeManager.GetFovInfos().Count == 0)
            {
                MessageUtil.ShowWarningToast(string.Format("Please check the Vision Recipe of the currently active Recipe."));
                return;
            }

            if (_SeqManualRunRCC.RunState == SequenceRunState.Running)
            {
                MessageUtil.ShowWarningToast(string.Format("이미 시퀀스가 Start 상태입니다.", "SeqManualRunRCC"));
                return;
            }

            var scoutSeqParams = new ScoutSeqParams(VisionRecipeManager.GetFovInfos()[0], eDisplayType.Machine_B);
            var param = new SeqManualRunRCC_InitParam()
            {
                UseStream = false,
                ScoutSeqParams = scoutSeqParams,
            };

            PopupSequenceDiagram(ref _WinSequenceDiagramManualRunRCC, CommonSequenceIds.SeqManualRunRCC, param);

            IsSequenceRunning_ManualRunRCC = true;
            _SeqManualRunRCC.Start(param, OnCompleteManualRunRCC);

        }

        private void OnCompleteManualRunRCC(SequenceActionResult res)
        {
            if (res != null)
            {
                if (res.Param is SeqManualRunRCC_OutParam result && result.Success == true)
                {
                    //ResultManualRunData
                    // ManualRunRCC 이후 ResultImage 표현하는 건 미사용으로 우선 주석처리한다. 사용시 주석해제
                    //System.Windows.Application.Current.Dispatcher.Invoke(() => {
                    //    AddResultManualRunDataResult(result.ResultManualRunData);
                    //});

                    IsSequenceRunning_ManualRunRCC = false;
                    MessageUtil.ShowSuccessToast(string.Format("Success SeqManualRunRCC"));

                    CloseSequenceDiagram(_WinSequenceDiagramManualRunRCC);
                    return;
                }
            }

            IsSequenceRunning_ManualRunRCC = false;
            MessageUtil.ShowWarningToast(string.Format("Fail SeqManualRunRCC"));
        }

        private void AddResultManualRunDataResult(ResultManualRunData result)
        {
            if (result != null)
            {
                _ConvertImageMat = result.ResultImage;
                _PathItemList = result.PathItemList;
            }
            DrawObject(CellType);
        }

        private void PerformCmdStopManualRunRCC(object obj)
        {
            if (_SeqManualRunRCC.RunState == SequenceRunState.Idle)
            {
                return;
            }

            IsSequenceRunning_ManualRunRCC = false;
            _SeqManualRunRCC.Stop();
        }

        private void PopupSequenceDiagram(ref WinSequenceDiagram winSequenceDiagram, string seqId, object param)
        {
            if (winSequenceDiagram == null)
            {
                winSequenceDiagram = new WinSequenceDiagram(seqId);
                winSequenceDiagram.Closing += ClosingEvent;
                winSequenceDiagram.SetParam(new SeqDrawerParam()
                {
                    SequenceId = seqId,
                    DiagramType = eDiagramType.Tree,
                    LineType = eLineType.Straight,
                    IsShowSubSequence = false,
                    VisibleKeys = new List<string>()
                });

                winSequenceDiagram.Owner = System.Windows.Application.Current.MainWindow;
                winSequenceDiagram.Width = 600;
                winSequenceDiagram.SequenceParam = param;
                winSequenceDiagram.Show();
            }
            else
            {
                winSequenceDiagram.SequenceParam = param;
                winSequenceDiagram.WindowState = System.Windows.WindowState.Normal;
                winSequenceDiagram.Show();
            }
        }
        private void CloseSequenceDiagram(WinSequenceDiagram winSequenceDiagram)
        {
            System.Windows.Application.Current.Dispatcher.Invoke(() => {
                if (winSequenceDiagram != null)
                {
                    winSequenceDiagram.Close();
                }
            });
        }
        private void ClosingEvent(object sender, CancelEventArgs e)
        {
            e.Cancel = true;
            (sender as System.Windows.Window).Hide();
        }

    }
}