using OpenCvSharp;
using OpenCvSharp.Extensions;
using OTSCommon.DBOperate.Model;
using OTSIncAReportApp._1_UI.Control_Graph.Controls;
using OTSIncAReportApp.OTSRstMgrFunction;
using OTSIncAReportGraph;
using OTSIncAReportGraph.Class;
using OTSIncAReportGraph.Controls;
using OTSMeasureApp.ServiceCenter;
using OTSModelSharp.ServiceCenter;
using System;
using System.Collections.Generic;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;

namespace OTSIncAReportApp._3_ServiceCenter
{
    class ImageExporter
    {
        public OTSIncAReportApp.frmReportApp m_ReportApp;
        //包含particle的field的列表对象
        public List<DisplayRectangle> m_list_allDfield = null;
        public ResultFile resultFile = null;
        public SaveFileDialog sfd = null;
        public DataTable ParticleData = new DataTable();
        public DataTable ParticleClassData = new DataTable();
        /// <summary>
        /// 国标一框框
        /// </summary>
        public DataTable GBDatatableOne { get; set; }
        /// <summary>
        ///国标格子大小（像素）
        /// </summary>
        public int GridLength { get; set; }
        public int type = 0;
        //像素大小
        public double pixelSize = 0;

      
        private double picGBYmin = 0;

        private double OverlapParamPX = 0;
   
   


        public void opencv_outpic()
        {

            ImageSplicer imageSplicer = new ImageSplicer();

            Dictionary<string, object> sampleMembers = ((Dictionary<string, object>)((Dictionary<string, object>)resultFile.ResultInfo["Sample"])["Members"]);
            Dictionary<string, object> imageProcessParam = (Dictionary<string, object>)((Dictionary<string, object>)((Dictionary<string, object>)sampleMembers["MsrParams"])["Members"])["ImageProcessParam"];
            object strOverlapParam = "";
            imageProcessParam.TryGetValue("OverlapParam", out strOverlapParam);
            if (strOverlapParam == null)
            {
                strOverlapParam = "0";
                //NLog.LogManager.GetCurrentClassLogger().Info("There are no overlapping dimensions");
                //return;
            }
            //获取图像重叠参数（微米需要转换成像素）
            int OverlapParam = int.Parse(strOverlapParam.ToString());

            if (OverlapParam==0)
            {
                OverlapParamPX = 0;
            }else
            {
                OverlapParamPX = OverlapParam / pixelSize;
            }

            List<DataTable> list_dt_picdata = new List<DataTable>();
            OpenCvSharp.Mat[] list_mats;
            //导出拼接图片外加颗粒渲染
            if (type ==(int)Outpic_enum.ColoredParticles)
            {
                list_dt_picdata = imageSplicer.ImageStitchingParticleRendering(resultFile, m_list_allDfield);
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];
            }
            //导出国标外加颗粒渲染
            else if (type == (int)Outpic_enum.GBOne)
            {
                list_dt_picdata = imageSplicer.ImageStitchingParticleRendering(resultFile, m_list_allDfield);
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];
            }
            //导出拼接图片
            else
            {
                list_dt_picdata = imageSplicer.Mosaics(resultFile, m_list_allDfield);
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];
            }


            NLog.LogManager.GetCurrentClassLogger().Info("Organize and splice all pictures......");

            List<OpenCvSharp.Mat> list_pano = new List<OpenCvSharp.Mat>();
            List<Bitmap> list_panos = new List<Bitmap>();
            //循环保存每行拼接的图片
            for (int i = list_dt_picdata.Count-1; i >= 0; i--)
            {
                // 计算新Bitmap的总宽度和高度  
                int totalWidth = 0;
                int maxHeight = 0;
                for ( int c=0;c< list_dt_picdata[i].Rows.Count;c++)
                {
                    Bitmap bitmap = (Bitmap)list_dt_picdata[i].Rows[c]["mat"];
                    totalWidth += bitmap.Width; // 减去重叠部分将在绘制时处理  
                    maxHeight = Math.Max(maxHeight, bitmap.Height);
                }
                // 因为有n张图片，它们之间会有n-1个重叠区域，所以需要从总宽度中减去这些重叠的像素  
                // 注意：如果图片数量小于2，则不需要减去任何重叠部分  
                if (list_dt_picdata[i].Rows.Count > 1)
                {
                    totalWidth -= (list_dt_picdata[i].Rows.Count - 1) * (int)OverlapParamPX;
                }
                // 创建一个新的Bitmap对象来存储拼接后的图像  
                Bitmap combinedImage = new Bitmap(totalWidth, maxHeight);

                // 使用Graphics对象来绘制拼接后的图像  
                using (Graphics g = Graphics.FromImage(combinedImage))
                {
                    int currentX = 0;
                    for (int b=0;b< list_dt_picdata[i].Rows.Count; b++)
                    {
                        Bitmap bitmap = (Bitmap)list_dt_picdata[i].Rows[b]["mat"];
                        // 绘制当前图片，注意调整X坐标以实现重叠  
                        g.DrawImage(bitmap, new Rectangle(currentX, 0, bitmap.Width, bitmap.Height));

                        // 更新当前X坐标，为下一张图片留出空间（包括重叠部分）  
                        currentX += bitmap.Width - (list_dt_picdata[i].Rows.Count > 1 ? (int)OverlapParamPX : 0); // 如果不是最后一张图片，则减去重叠的20像素  
                    }
                }
                Mat mat = BitmapConverter.ToMat(combinedImage);
                list_pano.Add(mat);
                list_panos.Add(combinedImage);
            }
           

            //导出原图（渲染图）在下方增加每种颜色的标注和面积占比
            if (type == (int)Outpic_enum.ColoredParticles || type == (int)Outpic_enum.GBOne)
            {
                DataTable particleData = ParticleDataIntegration(ParticleData, ParticleClassData);
                int NumberOfRows = getPICstringLong(particleData, list_pano);
                Bitmap bitmap = new Bitmap(list_pano[0].Width, NumberOfRows*140);
                Graphics g = Graphics.FromImage(bitmap);
                g.Clear(Color.White);
                int rowData = 10;
                //矩形格子宽500
                SolidBrush mysbrush1 = new SolidBrush(ColorTranslator.FromHtml("#000000"));
                Pen mypen = new Pen(mysbrush1, 2);
                Font myFont = new Font("宋体", 13, FontStyle.Bold);
                SolidBrush sbrush = new SolidBrush(Color.Black);
                int Color_Y = 10; int TypeName_Y = 40; int Prozentsatz_Y = 100;int Area_Y = 70;
                int Gitter_X = 10;
                picKopfzeile(mypen, myFont, sbrush, g, 10, rowData);
                Gitter_X = Gitter_X + 350;
                for (int i = 0; i < particleData.Rows.Count; i++)
                {
                    if (Gitter_X+350> list_pano[0].Width)
                    {
                        rowData = rowData + 130;
                        picKopfzeile(mypen, myFont, sbrush, g, 10, rowData);
                        Color_Y = Color_Y + 130;
                        TypeName_Y = TypeName_Y + 130;
                        Prozentsatz_Y = Prozentsatz_Y + 130;
                        Area_Y = Area_Y + 130;
                        Gitter_X = 360;
                    }
                    g.DrawRectangle(mypen, Gitter_X, Color_Y, 350, 30);
                    g.DrawRectangle(mypen, Gitter_X, TypeName_Y, 350, 30);
                    g.DrawRectangle(mypen, Gitter_X, Area_Y, 350, 30);
                    g.DrawRectangle(mypen, Gitter_X, Prozentsatz_Y, 350, 30);

                    SolidBrush mysbrush = new SolidBrush(ColorTranslator.FromHtml(particleData.Rows[i]["Color"].ToString()));
                    g.FillRectangle(mysbrush, Gitter_X + 1, Color_Y + 1, 348, 28);
                    g.DrawString(particleData.Rows[i]["TypeName"].ToString(), myFont, sbrush, Gitter_X + 1, TypeName_Y + 2);
                    g.DrawString(particleData.Rows[i]["Area"].ToString(), myFont, sbrush, Gitter_X + 1, Area_Y + 2);
                    g.DrawString(particleData.Rows[i]["Percentage"].ToString()+"%", myFont, sbrush, Gitter_X + 1, Prozentsatz_Y + 2);

                    Gitter_X = Gitter_X + 350;
                }
                list_panos.Add(bitmap);
                g.Dispose();
            }
            Bitmap combined = MergeImagesVertically(list_panos, (int)OverlapParamPX);
            NLog.LogManager.GetCurrentClassLogger().Info("Picture splicing completed.");
            NLog.LogManager.GetCurrentClassLogger().Info("Save to disk......");
            OpenCvSharp.Mat save_pano = BitmapConverter.ToMat(combined);
          
            if (type == (int)Outpic_enum.GBOne)
            {
                imageSplicer.DrawingOfNationalStandardBoxes(GBDatatableOne, GridLength, save_pano);
           
            }

            OpenCvSharp.Cv2.ImWrite(sfd.FileName, save_pano);
            NLog.LogManager.GetCurrentClassLogger().Info("Save complete.");
            Control_DrawDistrbutionImageAndBSE v = m_ReportApp.im_Control_DrawDistrbutionImageAndBSE;
            MyEvent += new MyEntrust(v.msgInform);
            v.Invoke(MyEvent);
        }


        private  Bitmap MergeImagesVertically(List<Bitmap> images, int overlap)
        {
            if (images == null || images.Count == 0)
            {
                throw new ArgumentException("输入的图片数组不能为空或没有元素");
            }

            // 计算新Bitmap的宽度和高度  
            int totalWidth = 0;
            int totalHeight = 0;

            // 找到最宽的宽度  
            foreach (var img in images)
            {
                if (img.Width > totalWidth)
                {
                    totalWidth = img.Width;
                }
                //totalHeight += img.Height - (img != images[images.Count - 1] ? overlap : 0); // 最后一张图片不减去重叠  
            }
            int imgHeight = (int)OverlapParamPX * (images.Count - 1);
            totalHeight = images[0].Height * (images.Count-1) - imgHeight;
            // 为最后一张图片添加完整的高度  
            if (images.Count > 1)
            {
                totalHeight += images[images.Count - 1].Height;
            }
            else
            {
                // 如果只有一张图片，则不需要调整高度  
                totalHeight = images[0].Height;
            }

            Bitmap result = new Bitmap(totalWidth, totalHeight);

            using (Graphics g = Graphics.FromImage(result))
            {
                g.Clear(Color.Transparent); // 或者设置为其他背景色  

                int offsetY = 0;
                foreach (var img in images)
                {
                    // 绘制图片，考虑重叠部分  
                    g.DrawImage(img, new Rectangle(0, offsetY, img.Width, img.Height));

                    // 更新偏移量  
                    offsetY += img.Height - (img != images[images.Count - 1] ? overlap : 0);
                }
            }

            return result;
        }

        private int getPICstringLong(DataTable particleData, List<OpenCvSharp.Mat> list_pano)
        {
            int Long = 1;
            int Gitter_X = 10;
            for (int i = 0; i < particleData.Rows.Count; i++)
            {
                if (Gitter_X + 350 > list_pano[0].Width)
                {
                    Long = Long + 1;
                    Gitter_X = 10;
                }
                Gitter_X = Gitter_X + 350;
            }
            return Long;
        }

        private void picKopfzeile(Pen mypen, Font myFont, SolidBrush sbrush, Graphics g ,int X,int Y)
        {

            int Color_Y = Y; int TypeName_Y = Y+30; int Prozentsatz_Y = Y + 90; int Area_Y = Y+ 60;
            int Gitter_X = X;

            g.DrawRectangle(mypen, Gitter_X, Color_Y, 350, 30);
            g.DrawRectangle(mypen, Gitter_X, TypeName_Y, 350, 30);
            g.DrawRectangle(mypen, Gitter_X, Area_Y, 350, 30);
            g.DrawRectangle(mypen, Gitter_X, Prozentsatz_Y, 350, 30);
            g.DrawString("Color", myFont, sbrush, Gitter_X + 1, Color_Y + 2);
            g.DrawString("TypeName", myFont, sbrush, Gitter_X + 1, TypeName_Y + 2);
            g.DrawString("Area", myFont, sbrush, Gitter_X + 1, Area_Y + 2);
            g.DrawString("Prozentsatz", myFont, sbrush, Gitter_X + 1, Prozentsatz_Y + 2);
        }
        private DataTable ParticleDataIntegration(DataTable ParticleAll,DataTable ParticleClass)
        {
            DataTable dt = ParticleClass.Copy();
            dt.Columns.Add("Area", typeof(float));
            dt.Columns.Add("Percentage");
            dt.Columns.Add("Color");
            double ParticleAreaTotal = 0;
            for (int i=0;i< ParticleAll.Rows.Count;i++)
            {
                ParticleAreaTotal = ParticleAreaTotal + Convert.ToDouble(ParticleAll.Rows[i]["Area"]);
            }

            for (int i=0;i< dt.Rows.Count;i++)
            {
                double ParticleArea = 0;
                string ParticleColer = "";
                for (int a=0;a< ParticleAll.Rows.Count;a++)
                {
                    if (dt.Rows[i]["TypeName"].ToString()== ParticleAll.Rows[a]["TypeName"].ToString())
                    {
                        ParticleArea = ParticleArea + Convert.ToDouble(ParticleAll.Rows[a]["Area"]);
                        ParticleColer = ParticleAll.Rows[a]["TypeColor"].ToString();
                    }
                }
                dt.Rows[i]["Area"] = ParticleArea;
                dt.Rows[i]["Percentage"] = ParameterNormalization(ParticleAreaTotal, ParticleArea);
                dt.Rows[i]["Color"] = ParticleColer;
            }
            return dt;
        }

        /// <summary>
        /// 参数归一化
        /// </summary>
        /// <param name="a_mi">总数</param>
        /// <param name="m">传参</param>
        /// <returns></returns>
        private string ParameterNormalization(double a_mi, double m)
        {
            double ColVal = Convert.ToDouble(m / a_mi * 100);
            if (ColVal == 0)
            {
                return "";
            }
            else
            {

                return Math.Round(ColVal, 2).ToString();
            }

        }

        #region 合并天宇颗粒融合新增函数
        public void opencv_outpic2(/*int type*/)
        {
            List<DataTable> list_dt_picdata = new List<DataTable>();
            if (type == (int)Outpic_enum.pic || type == (int)Outpic_enum.Combin)
            {
                list_dt_picdata = opencv_piclist2();
            }
            else if (type == (int)Outpic_enum.Render_pic || type == (int)Outpic_enum.Render_Combin)
            {
                list_dt_picdata = opencv_piclist_Render2();
            }
            OpenCvSharp.Mat save_pano = new OpenCvSharp.Mat();
            OpenCvSharp.Mat[] list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];

            if (type == (int)Outpic_enum.Combin || type == (int)Outpic_enum.Render_Combin)
            {
                ImageStitchUsingOpenCvSharp cImageHandler = new ImageStitchUsingOpenCvSharp();
                Dictionary<string, object> sampleMembers = ((Dictionary<string, object>)((Dictionary<string, object>)resultFile.ResultInfo["Sample"])["Members"]);
                Dictionary<string, object> imageProcessParam = (Dictionary<string, object>)((Dictionary<string, object>)((Dictionary<string, object>)sampleMembers["MsrParams"])["Members"])["ImageProcessParam"];
                object strOverlapParam = "";
                imageProcessParam.TryGetValue("OverlapParam", out strOverlapParam);
                if (strOverlapParam == null)
                {
                    NLog.LogManager.GetCurrentClassLogger().Info("There are no overlapping dimensions");
                    return;
                }
                int OverlapParam = int.Parse(strOverlapParam.ToString());
                List<OpenCvSharp.Mat> maxXList = new List<OpenCvSharp.Mat>();
                for (int i = 0; i < list_dt_picdata.Count; i++)
                {
                    OpenCvSharp.Mat[] mats = new OpenCvSharp.Mat[list_dt_picdata[i].Rows.Count];
                    for (int a = 0; a < list_dt_picdata[i].Rows.Count; a++)
                    {
                        mats[a] = OpenCvSharp.Extensions.BitmapConverter.ToMat((Bitmap)list_dt_picdata[i].Rows[a]["mat"]);
                    }
                    //横向拼接
                    maxXList.Add(cImageHandler.CombinImageX(mats, OverlapParam, type));
                }
                save_pano = cImageHandler.CombinImageY(maxXList.ToArray(), OverlapParam, type);
                OpenCvSharp.Cv2.ImWrite(sfd.FileName, save_pano);
                NLog.LogManager.GetCurrentClassLogger().Info("Save complete.");
            }
            else
            {
                NLog.LogManager.GetCurrentClassLogger().Info("Organize and splice all pictures......");
                for (int i = 0; i < list_dt_picdata.Count; i++)
                {
                    OpenCvSharp.Mat[] mats = new OpenCvSharp.Mat[list_dt_picdata[i].Rows.Count];
                    for (int a = 0; a < list_dt_picdata[i].Rows.Count; a++)
                    {
                        mats[a] = OpenCvSharp.Extensions.BitmapConverter.ToMat((Bitmap)list_dt_picdata[i].Rows[a]["mat"]);
                    }
                    OpenCvSharp.Mat pano = new OpenCvSharp.Mat();
                    OpenCvSharp.Cv2.HConcat(mats, pano);
                    list_mats[i] = pano;

                }
                NLog.LogManager.GetCurrentClassLogger().Info("Picture splicing completed.");
                NLog.LogManager.GetCurrentClassLogger().Info("Save to disk......");

                OpenCvSharp.Cv2.VConcat(list_mats, save_pano);
                OpenCvSharp.Cv2.ImWrite(sfd.FileName, save_pano);
                NLog.LogManager.GetCurrentClassLogger().Info("Save complete.");
            }
        }

        private List<DataTable> opencv_piclist_Render2()
        {
            List<DataTable> list_dt_picdata = new List<DataTable>();
            DataTable picDatat = new DataTable();
            List<Field> fieldlist = resultFile.List_OTSField;
            picDatat.Columns.Add("X", typeof(double));
            picDatat.Columns.Add("Y", typeof(double));
            foreach (var f in m_list_allDfield)
            {
                DataRow dr = picDatat.NewRow();
                dr["X"] = f.GetShowRect().X;
                dr["Y"] = f.GetShowRect().Y;
                picDatat.Rows.Add(dr);
            }
            int y_max = Convert.ToInt32(picDatat.Compute("Max(Y)", "true"));
            int y_min = Convert.ToInt32(picDatat.Compute("Min(Y)", "true"));
            DataTable total_dt_X = picDatat.Copy();
            DataView dv_x = total_dt_X.DefaultView;
            DataView dv_x_2 = dv_x.ToTable(true, "X").DefaultView;
            dv_x_2.Sort = "X ASC";
            total_dt_X = dv_x_2.ToTable();


            DataTable total_dt_Y = picDatat.Copy();
            DataView dv_Y = total_dt_Y.DefaultView;
            DataView dv_Y_2 = dv_Y.ToTable(true, "Y").DefaultView;
            dv_Y_2.Sort = "Y ASC";
            total_dt_Y = dv_Y_2.ToTable();


            for (int i = 0; i < total_dt_Y.Rows.Count; i++)
            {
                NLog.LogManager.GetCurrentClassLogger().Info("Splice line" + i + 1.ToString() + "of" + total_dt_Y.Rows.Count.ToString() + ".....");

                DataTable data = new DataTable();
                data.Columns.Add("mat", typeof(Bitmap));
                data.Columns.Add("X", typeof(double));
                for (int a = 0; a < total_dt_X.Rows.Count; a++)
                {
                    DataRow dr2 = data.NewRow();
                    Bitmap bitmap = new Bitmap((int)m_list_allDfield[0].GetShowRect().Width, (int)m_list_allDfield[0].GetShowRect().Height);
                    Graphics g = Graphics.FromImage(bitmap);
                    g.Clear(Color.White);
                    g.Dispose();
                    dr2["mat"] = bitmap;
                    dr2["X"] = total_dt_X.Rows[a]["X"];
                    data.Rows.Add(dr2);
                }
                foreach (var f in m_list_allDfield)
                {
                    if (total_dt_Y.Rows[i]["Y"].ToString() == f.GetShowRect().Y.ToString())
                    {
                        for (int c = 0; c < data.Rows.Count; c++)
                        {
                            if (data.Rows[c]["X"].ToString() == f.GetShowRect().X.ToString())
                            {
                                Bitmap image = new Bitmap(f.OriginalImage.Width, f.OriginalImage.Height);
                                Graphics g2 = Graphics.FromImage(image);
                                g2.DrawImage(f.OriginalImage, 0, 0, f.OriginalImage.Width, f.OriginalImage.Height);
                                Graphics graph_2 = Graphics.FromImage(image);

                                for (int a = 0; a < fieldlist.Count; a++)
                                {
                                    if (fieldlist[a].FieldID.ToString() == f.FieldID.ToString())
                                    {
                                        //先获取该Field中的所有Particle
                                        List<Particle> list_particle;
                                        list_particle = fieldlist[a].ParticleList;
                                        //再循环计算所有的Particle对象
                                        foreach (Particle particle in list_particle)
                                        {
                                            //创建DParticle颗粒
                                            DisplayParticle dp = new DisplayParticle(particle);
                                            List<Segment> list_seg;
                                            list_seg = particle.SegmentList;
                                            //创建颗粒分布图对应的类对象
                                            List<DisplaySegment> list_dsegment = new List<DisplaySegment>();
                                            //再循环取出里面所有的segment
                                            foreach (Segment seg in list_seg)
                                            {
                                                #region 创建DSegment对象，并将STD分析出的化合物颜色保存到DSegment对象中

                                                System.Drawing.Point on_p = new System.Drawing.Point() { X = seg.Start, Y = seg.Height };
                                                System.Drawing.Point off_p = new System.Drawing.Point() { X = seg.Start + seg.Length, Y = seg.Height };
                                                Pen npen = new Pen(dp.Color);
                                                graph_2.DrawLine(npen, on_p, off_p);

                                                #endregion
                                            }
                                        }
                                    }
                                }
                                data.Rows[c]["mat"] = image;
                                data.Rows[c]["X"] = f.GetShowRect().X; 
                            }
                        }
                    }

                }

                DataView dataView1 = data.DefaultView;
                dataView1.Sort = "X ASC";
                data = dataView1.ToTable();
                list_dt_picdata.Add(data);
            }

            return list_dt_picdata;
        }
        /// <summary>
        /// 获取每行图片的位置配合opencv方法使用
        /// </summary>
        /// <returns></returns>
        private List<DataTable> opencv_piclist2()
        {
            List<DataTable> list_dt_picdata = new List<DataTable>();
            DataTable picDatat = new DataTable();
            picDatat.Columns.Add("X", typeof(double));
            picDatat.Columns.Add("Y", typeof(double));
            foreach (var f in m_list_allDfield)
            {
                DataRow dr = picDatat.NewRow();
                dr["X"] = f.GetShowRect().X;
                dr["Y"] = f.GetShowRect().Y;
                picDatat.Rows.Add(dr);
            }
            int y_max = Convert.ToInt32(picDatat.Compute("Max(Y)", "true"));
            int y_min = Convert.ToInt32(picDatat.Compute("Min(Y)", "true"));
            DataTable total_dt_X = picDatat.Copy();
            DataView dv_x = total_dt_X.DefaultView;
            DataView dv_x_2 = dv_x.ToTable(true, "X").DefaultView;
            dv_x_2.Sort = "X ASC";
            total_dt_X = dv_x_2.ToTable();


            DataTable total_dt_Y = picDatat.Copy();
            DataView dv_Y = total_dt_Y.DefaultView;
            DataView dv_Y_2 = dv_Y.ToTable(true, "Y").DefaultView;
            dv_Y_2.Sort = "Y ASC";
            total_dt_Y = dv_Y_2.ToTable();


            for (int i = 0; i < total_dt_Y.Rows.Count; i++)
            {
                NLog.LogManager.GetCurrentClassLogger().Info("Splice line" + i + 1.ToString() + "of" + total_dt_Y.Rows.Count.ToString() + ".....");
                DataTable data = new DataTable();
                data.Columns.Add("mat", typeof(Bitmap));
                data.Columns.Add("X", typeof(double));
                for (int a = 0; a < total_dt_X.Rows.Count; a++)
                {
                    DataRow dr2 = data.NewRow();
                    Bitmap bitmap = new Bitmap((int)m_list_allDfield[0].GetShowRect().Width, (int)m_list_allDfield[0].GetShowRect().Height);
                    Graphics g = Graphics.FromImage(bitmap);
                    g.Clear(Color.White);
                    g.Dispose();
                    dr2["mat"] = bitmap;
                    dr2["X"] = total_dt_X.Rows[a]["X"];
                    data.Rows.Add(dr2);
                }
                foreach (var f in m_list_allDfield)
                {
                    if (total_dt_Y.Rows[i]["Y"].ToString() == f.GetShowRect().Y.ToString())
                    {
                        for (int c = 0; c < data.Rows.Count; c++)
                        {
                            if (data.Rows[c]["X"].ToString() == f.GetShowRect().X.ToString())
                            {
                                data.Rows[c]["mat"] = f.OriginalImage;
                                data.Rows[c]["X"] = f.GetShowRect().X;
                            }
                        }

                    }
                }


                DataView dataView1 = data.DefaultView;
                dataView1.Sort = "X ASC";
                data = dataView1.ToTable();


                list_dt_picdata.Add(data);
            }

            return list_dt_picdata;
        }
        #endregion



        public delegate void MyEntrust();
        public event MyEntrust MyEvent;
       
    }
}