OTS/OTSIncAReportApp/1-UI/Control_Graph/Controls/OutPIC.cs

using OpenCvSharp;
using OTSCommon.Model;
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 OutPIC
    {
        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;

        private double picYmin = 0;
        private double picGBYmin = 0;
        private int imgeH = 0;
        private int imgeW = 0;
        /// <summary>
        /// 获取每行图片的位置配合opencv方法使用
        /// </summary>
        /// <returns></returns>
        private List<DataTable> opencv_piclist()
        {
            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.OTSCoordinatePos.X;
                dr["Y"] = f.OTSCoordinatePos.Y;
                picDatat.Rows.Add(dr);
            }
            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));
                data.Columns.Add("Y", 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].OriginalImage.Width, (int)m_list_allDfield[0].OriginalImage.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.OTSCoordinatePos.Y.ToString())
                    {
                        for (int c = 0; c < data.Rows.Count; c++)
                        {
                            if (data.Rows[c]["X"].ToString() == f.OTSCoordinatePos.X.ToString())
                            {
                                data.Rows[c]["mat"] = f.OriginalImage;
                                data.Rows[c]["X"] = f.OTSCoordinatePos.X;
                                data.Rows[c]["Y"] = f.OTSCoordinatePos.Y;
                            }
                        }

                    }
                }


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


                list_dt_picdata.Add(data);
            }

            return list_dt_picdata;
        }

        private List<DataTable> color_piclist()
        {
            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.OTSCoordinatePos.X;
                dr["Y"] = f.OTSCoordinatePos.Y;
                picDatat.Rows.Add(dr);
            }
            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();
            picYmin = Convert.ToDouble(total_dt_Y.Rows[0]["Y"]);

            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));
                data.Columns.Add("Y", typeof(double));
                imgeH = (int)m_list_allDfield[0].OriginalImage.Height;
                imgeW = (int)m_list_allDfield[0].OriginalImage.Width;
                Bitmap bitmap = new Bitmap((int)m_list_allDfield[0].OriginalImage.Width, (int)m_list_allDfield[0].OriginalImage.Height);
                for (int a = 0; a < total_dt_X.Rows.Count; a++)
                {
                    DataRow dr2 = data.NewRow();
                    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.OTSCoordinatePos.Y.ToString())
                    {
                        for (int c = 0; c < data.Rows.Count; c++)
                        {
                            if (data.Rows[c]["X"].ToString() == f.OTSCoordinatePos.X.ToString())
                            {

                                Bitmap image = new Bitmap(bitmap.Width, bitmap.Height);
                                Graphics graph_2 = Graphics.FromImage(image);
                                Color color1 = Color.FromArgb(217, 217, 217);
                                graph_2.Clear(color1);

                                //Color color1 = Color.FromArgb(217, 217, 217);
                                //graph_2.Clear(color1);

                                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)
                                        {
                                            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 };
                                                var color = DrawFunction.GetColorBySTDTypeIDForBSEAndSorImage(particle.TypeColor, particle.TypeId);
                                                Pen npen = new Pen(color);
                                                graph_2.DrawLine(npen, on_p, off_p);

                                                #endregion
                                            }
                                        }
                                    }
                                    
                                }
                                data.Rows[c]["mat"] = image;
                                data.Rows[c]["X"] = f.OTSCoordinatePos.X;
                                data.Rows[c]["Y"] = f.OTSCoordinatePos.Y;
                            }
                        }

                    }
                }


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


                list_dt_picdata.Add(data);
            }

            return list_dt_picdata;
        }


        public void opencv_outpic()
        {

            
            List<DataTable> list_dt_picdata = new List<DataTable>();
            OpenCvSharp.Mat[] list_mats;
            if (type == (int)Outpic_enum.pic)
            {
                list_dt_picdata = opencv_piclist();
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];
            }
            else if (type == (int)Outpic_enum.Render_pic)
            {
                list_dt_picdata = opencv_piclist_Render();
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count + 1];
            }
            //国标导出拼接图
            else if (type == (int)Outpic_enum.GBOne)
            {
                list_dt_picdata = color_piclist();
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];
            }
            //导出没背景颗粒渲染的图
            else if (type == (int)Outpic_enum.ColoredParticles)
            {
                list_dt_picdata = color_piclist();
                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count];
            }
            //导出没背景有颗粒的图
            else
            {
                list_dt_picdata = NoBackgroundParticleDiagram();
                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>();

            //循环保存每行拼接的图片
            for (int i = list_dt_picdata.Count-1; i >= 0; i--)
            {
                //拼接同一行中的图片
                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_pano.Add(pano);
             

            }
           

            //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.Render_pic || 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;
                }

                g.Dispose();
                OpenCvSharp.Mat pano = OpenCvSharp.Extensions.BitmapConverter.ToMat(bitmap);
                list_pano.Add(pano);
            }

            for (int i = 0; i < list_pano.Count; i++)
            {
                list_mats[i] = list_pano[i];
            }

            NLog.LogManager.GetCurrentClassLogger().Info("Picture splicing completed.");
            NLog.LogManager.GetCurrentClassLogger().Info("Save to disk......");
            OpenCvSharp.Mat save_pano = new OpenCvSharp.Mat();
            OpenCvSharp.Cv2.VConcat(list_mats, save_pano);

            if (type == (int)Outpic_enum.GBOne)
            {
                // 创建一个HashSet来存储唯一的值  
                HashSet<int> distinctValuesY = new HashSet<int>();
                // 创建一个HashSet来存储唯一的值  
                HashSet<int> distinctValuesX = new HashSet<int>();
                for (int i = 0; i < GBDatatableOne.Rows.Count; i++)
                {
                    distinctValuesY.Add(Convert.ToInt32(GBDatatableOne.Rows[i]["fieldY"]));
                    distinctValuesX.Add(Convert.ToInt32(GBDatatableOne.Rows[i]["fieldX"]));
                }
                //int picdataYmin = Convert.ToInt32(list_dt_picdata[0].Rows[0]["Y"]);
                //int picdataXmin = Convert.ToInt32(list_dt_picdata[0].Rows[0]["X"]);
                var distinctY = distinctValuesY.ToList();
                distinctY.Sort((a, b) => b.CompareTo(a));
                var distinctX = distinctValuesX.ToList();
                distinctX.Sort();

                //int Yzhou = 0;
                int Yzhou = (int)picYmin- distinctY.Min();
                Yzhou = Yzhou + (GridLength / 2)+(imgeH/2);
                for (int i = 0; i < distinctY.Count; i++)
                {
                    int Xzhou = +(GridLength / 2) + (imgeW / 2);
                    DataTable number = CountTheNumberOfX_axes(GBDatatableOne, "fieldY", distinctY[i].ToString());
                    for (int j = 0; j < number.Rows.Count; j++)
                    {

                        // 定义矩形的左上角和右下角坐标  
                        OpenCvSharp.Point topLeft = new OpenCvSharp.Point(Xzhou, Yzhou);
                        int XzhouDOW = Xzhou + GridLength;
                        int YzhouDOW = Yzhou + GridLength;
                        OpenCvSharp.Point textOrg = new OpenCvSharp.Point(Xzhou + 20, Yzhou + 70); // 文字开始的位置  
                        OpenCvSharp.Point bottomRight = new OpenCvSharp.Point(XzhouDOW, YzhouDOW);
                        Xzhou = Xzhou + GridLength;

                        // 定义矩形的颜色（BGR）和线宽  
                        OpenCvSharp.Scalar color = new OpenCvSharp.Scalar(0, 0, 255, 255); // 蓝色  
                        int thickness = 2;
                        // 在图像上绘制矩形  
                        OpenCvSharp.Cv2.Rectangle(save_pano, topLeft, bottomRight, color, thickness);

                        // 设置要绘制的文字及其位置  
                        string text = number.Rows[j]["data"].ToString();


                        string input = number.Rows[j]["data"].ToString();
                        double fontScale = 1; // 字体大小缩放因子  
                        int thickness2 = 1; // 字体粗细 
                        // 获取文字的大小，以便我们可以更好地定位它  
                        OpenCvSharp.Size textSize = OpenCvSharp.Cv2.GetTextSize(input, HersheyFonts.HersheySimplex, fontScale, thickness2, out int baseline);
                        int chunkSize = GridLength / textSize.Height; // 分割长度  
                        // 使用LINQ的Enumerable.Chunk扩展方法分割字符串  
                        var chunks = Enumerable.Range(0, input.Length / chunkSize + (input.Length % chunkSize > 0 ? 1 : 0))
                            .Select(x => input.Substring(x * chunkSize, Math.Min(chunkSize, input.Length - x * chunkSize)))
                            .ToList();
    
                        int topgrade = Convert.ToInt32(number.Rows[j]["color"]);
                        // 设置字体样式和大小  
                        Color color1 = new Color();
                        switch (topgrade)
                        {
                            case 0:
                                color1 = Color.White;
                                break;
                            case 1:
                                color1 = Color.DarkGray;
                                break;
                            case 2:
                                color1 = Color.Purple;
                                break;
                            case 3:
                                color1 = Color.Blue;
                                break;
                            case 4:
                                color1 = Color.Red;
                                break;
                            case 5:
                                color1 = Color.Red;
                                break;
                            default:
                                color1 = Color.Red;
                                break;

                        }
                        OpenCvSharp.Scalar fontColor = new OpenCvSharp.Scalar(color1.B, color1.G, color1.R, 255); // 文字颜色：黑色  
                        OpenCvSharp.LineTypes lineType = OpenCvSharp.LineTypes.AntiAlias; // 线条类型  

                        foreach (var chunk in chunks)
                        {
                            // 使用PutText方法在图像上绘制文字  
                            OpenCvSharp.Cv2.PutText(save_pano, chunk, textOrg, HersheyFonts.HersheySimplex, fontScale, fontColor, thickness, lineType);
                            textOrg.Y = textOrg.Y + 70;
                        }
                    }
                    Yzhou = Yzhou + GridLength;
                }
            }
            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 DataTable CountTheNumberOfX_axes(DataTable dataTable, string ColumnName, string name)
        {

            DataTable data = new DataTable();
            data.Columns.Add("data");
            data.Columns.Add("color");
            for (int i = 0; i < dataTable.Rows.Count; i++)
            {
                if (name == dataTable.Rows[i][ColumnName].ToString())
                {
                    DataRow dr = data.NewRow();
                    dr["data"] = dataTable.Rows[i]["gradeDetail"].ToString();
                    dr["color"] = dataTable.Rows[i]["topGrade"].ToString();
                    data.Rows.Add(dr);
                }
            }
            return data;
        }
        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();
            }

        }

        private List<DataTable> NoBackgroundParticleDiagram()
        {
            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.OTSCoordinatePos.X;
                dr["Y"] = f.OTSCoordinatePos.Y;
                picDatat.Rows.Add(dr);
            }

            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();

            //循环每一行图片
            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));
                //循环每行图片进行拼接
                Bitmap bitmap = new Bitmap((int)m_list_allDfield[0].OriginalImage.Width, (int)m_list_allDfield[0].OriginalImage.Height);
                
                for (int a = 0; a < total_dt_X.Rows.Count; a++)
                {
                    DataRow dr2 = data.NewRow();
                    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);
                }
                //循环所有图片
                foreach (var f in m_list_allDfield)
                {
                    if (total_dt_Y.Rows[i]["Y"].ToString() == f.OTSCoordinatePos.Y.ToString())
                    {
                        //循环图片的行数
                        for (int c = 0; c < data.Rows.Count; c++)
                        {
                            if (data.Rows[c]["X"].ToString() == f.OTSCoordinatePos.X.ToString())
                            {
                                Bitmap image = new Bitmap(bitmap.Width, bitmap.Height);
                                Graphics g2 = Graphics.FromImage(image);
                                //g2.Clear(Color.White);
                                Color color1 = Color.FromArgb(217, 217, 217);
                                g2.Clear(color1);
                                g2.DrawImage(image, 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)
                                        {
                                            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(Color.FromArgb(255-particle.AveGray, 0, 0, 0));
                                                graph_2.DrawLine(npen, on_p, off_p);

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

                }



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

            return list_dt_picdata;
        }

        private List<DataTable> opencv_piclist_Render()
        {
            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.OTSCoordinatePos.X;
                dr["Y"] = f.OTSCoordinatePos.Y;
                picDatat.Rows.Add(dr);
            }

            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();

            //循环每一行图片
            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));
                //循环每行图片进行拼接
                for (int a = 0; a < total_dt_X.Rows.Count; a++)
                {
                    DataRow dr2 = data.NewRow();

                    Bitmap bitmap = new Bitmap((int)m_list_allDfield[0].OriginalImage.Width, (int)m_list_allDfield[0].OriginalImage.Height);

                    //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);
                }
                //循环所有图片
                foreach (var f in m_list_allDfield)
                {
                    if (total_dt_Y.Rows[i]["Y"].ToString() == f.OTSCoordinatePos.Y.ToString())
                    {
                        //循环图片的行数
                        for (int c = 0; c < data.Rows.Count; c++)
                        {
                            if (data.Rows[c]["X"].ToString() == f.OTSCoordinatePos.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)
                                        {
                                          
                                         
                                            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 };
                                                var color = DrawFunction.GetColorBySTDTypeIDForBSEAndSorImage(particle.TypeColor, particle.TypeId);
                                                Pen npen = new Pen(color);
                                                graph_2.DrawLine(npen, on_p, off_p);

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

                }



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

            return list_dt_picdata;
        }
        #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;
       
    }
}