| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447 | using OTSCommon.Model;using OTSIncAReportGraph;using OTSIncAReportGraph.Class;using OTSIncAReportGraph.Controls;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<DisplayField> m_list_allDfield = null;        public ResultFile resultFile = null;        public SaveFileDialog sfd = null;        public DataTable ParticleData = new DataTable();        public DataTable ParticleClassData = new DataTable();                public int type = 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;                //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));                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);                    //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"];                    //dr2["Y"] = total_dt_X.Rows[a]["Y"];                    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;        }        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                              {                list_dt_picdata = opencv_piclist_Render();                list_mats = new OpenCvSharp.Mat[list_dt_picdata.Count + 1];            }                      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)            {                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);            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 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> 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                                                Point on_p = new Point() { X = seg.Start, Y = seg.Height };                                                Point off_p = new 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;        }               public delegate void MyEntrust();        public event MyEntrust MyEvent;           }}
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