using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Drawing;using System.Drawing.Imaging;using System.Runtime.InteropServices;namespace 驗證碼處理{ class VerifyCode {  public Bitmap bmpobj;  public VerifyCode(Bitmap pic)  {   bmpobj = new Bitmap(pic);  //轉換為Format32bppRgb  }  /// <summary>  /// 根據(jù)RGB，計算灰度值  /// </summary>  /// <param name="posClr">Color值</param>  /// <returns>灰度值，整型</returns>  private int GetGrayNumColor(System.Drawing.Color posClr)  {   return (posClr.R * 19595 + posClr.G * 38469 + posClr.B * 7472) >> 16;  }  /// <summary>  /// 灰度轉換,逐點方式  /// </summary>  public void GrayByPixels()  {   for (int i = 0; i < bmpobj.Height; i++)   {    for (int j = 0; j < bmpobj.Width; j++)    {     int tmpValue = GetGrayNumColor(bmpobj.GetPixel(j, i));     bmpobj.SetPixel(j, i, Color.FromArgb(tmpValue, tmpValue, tmpValue));    }   }  }  /// <summary>  /// 去圖形邊框  /// </summary>  /// <param name="borderWidth"></param>  public void ClearPicBorder(int borderWidth)  {   for (int i = 0; i < bmpobj.Height; i++)   {    for (int j = 0; j < bmpobj.Width; j++)    {     if (i < borderWidth || j < borderWidth || j > bmpobj.Width - 1 - borderWidth || i > bmpobj.Height - 1 - borderWidth)      bmpobj.SetPixel(j, i, Color.FromArgb(255, 255, 255));    }   }  }  /// <summary>  /// 灰度轉換,逐行方式  /// </summary>  public void GrayByLine()  {   Rectangle rec = new Rectangle(0, 0, bmpobj.Width, bmpobj.Height);   BitmapData bmpData = bmpobj.LockBits(rec, ImageLockMode.ReadWrite, bmpobj.PixelFormat);// PixelFormat.Format32bppPArgb);   //  bmpData.PixelFormat = PixelFormat.Format24bppRgb;   IntPtr scan0 = bmpData.Scan0;   int len = bmpobj.Width * bmpobj.Height;   int[] pixels = new int[len];   Marshal.Copy(scan0, pixels, 0, len);   //對圖片進行處理   int GrayValue = 0;   for (int i = 0; i < len; i++)   {    GrayValue = GetGrayNumColor(Color.FromArgb(pixels[i]));    pixels[i] = (byte)(Color.FromArgb(GrayValue, GrayValue, GrayValue)).ToArgb();  //Color轉byte   }   bmpobj.UnlockBits(bmpData);   ////輸出   //GCHandle gch = GCHandle.Alloc(pixels, GCHandleType.Pinned);   //bmpOutput = new Bitmap(bmpobj.Width, bmpobj.Height, bmpData.Stride, bmpData.PixelFormat, gch.AddrOfPinnedObject());   //gch.Free();  }  /// <summary>  /// 得到有效圖形并調整為可平均分割的大小  /// </summary>  /// <param name="dgGrayValue">灰度背景分界值</param>  /// <param name="CharsCount">有效字符數(shù)</param>  /// <returns></returns>  public void GetPicValidByValue(int dgGrayValue, int CharsCount)  {   int posx1 = bmpobj.Width; int posy1 = bmpobj.Height;   int posx2 = 0; int posy2 = 0;   for (int i = 0; i < bmpobj.Height; i++)  //找有效區(qū)   {    for (int j = 0; j < bmpobj.Width; j++)    {     int pixelValue = bmpobj.GetPixel(j, i).R;     if (pixelValue < dgGrayValue)  //根據(jù)灰度值     {      if (posx1 > j) posx1 = j;      if (posy1 > i) posy1 = i;       if (posx2 < j) posx2 = j;      if (posy2 < i) posy2 = i;     };    };   };   // 確保能整除   int Span = CharsCount - (posx2 - posx1 + 1) % CharsCount; //可整除的差額數(shù)   if (Span < CharsCount)   {    int leftSpan = Span / 2;  //分配到左邊的空列 ，如span為單數(shù),則右邊比左邊大1    if (posx1 > leftSpan)     posx1 = posx1 - leftSpan;    if (posx2 + Span - leftSpan < bmpobj.Width)     posx2 = posx2 + Span - leftSpan;   }   //復制新圖   Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);   bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);  }  /// <summary>  /// 得到有效圖形,圖形為類變量  /// </summary>  /// <param name="dgGrayValue">灰度背景分界值</param>  /// <param name="CharsCount">有效字符數(shù)</param>  /// <returns></returns>  public void GetPicValidByValue(int dgGrayValue)  {   int posx1 = bmpobj.Width; int posy1 = bmpobj.Height;   int posx2 = 0; int posy2 = 0;   for (int i = 0; i < bmpobj.Height; i++)  //找有效區(qū)   {    for (int j = 0; j < bmpobj.Width; j++)    {     int pixelValue = bmpobj.GetPixel(j, i).R;     if (pixelValue < dgGrayValue)  //根據(jù)灰度值     {      if (posx1 > j) posx1 = j;      if (posy1 > i) posy1 = i;       if (posx2 < j) posx2 = j;      if (posy2 < i) posy2 = i;     };    };   };   //復制新圖   Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);   bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);  }  /// <summary>  /// 得到有效圖形,圖形由外面?zhèn)魅? /// </summary>  /// <param name="dgGrayValue">灰度背景分界值</param>  /// <param name="CharsCount">有效字符數(shù)</param>  /// <returns></returns>  public Bitmap GetPicValidByValue(Bitmap singlepic, int dgGrayValue)  {   int posx1 = singlepic.Width; int posy1 = singlepic.Height;   int posx2 = 0; int posy2 = 0;   for (int i = 0; i < singlepic.Height; i++)  //找有效區(qū)   {    for (int j = 0; j < singlepic.Width; j++)    {     int pixelValue = singlepic.GetPixel(j, i).R;     if (pixelValue < dgGrayValue)  //根據(jù)灰度值     {      if (posx1 > j) posx1 = j;      if (posy1 > i) posy1 = i;       if (posx2 < j) posx2 = j;      if (posy2 < i) posy2 = i;     };    };   };   //復制新圖   Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);   return singlepic.Clone(cloneRect, singlepic.PixelFormat);  }  /// <summary>  /// 平均分割圖片  /// </summary>  /// <param name="RowNum">水平上分割數(shù)</param>  /// <param name="ColNum">垂直上分割數(shù)</param>  /// <returns>分割好的圖片數(shù)組</returns>  public Bitmap [] GetSplitPics(int RowNum,int ColNum)  {   if (RowNum == 0 || ColNum == 0)    return null;   int singW = bmpobj.Width / RowNum;   int singH = bmpobj.Height / ColNum;   Bitmap [] PicArray=new Bitmap[RowNum*ColNum];   Rectangle cloneRect;   for (int i = 0; i < ColNum; i++)  //找有效區(qū)   {    for (int j = 0; j < RowNum; j++)    {     cloneRect = new Rectangle(j*singW, i*singH, singW , singH);     PicArray[i*RowNum+j]=bmpobj.Clone(cloneRect, bmpobj.PixelFormat);//復制小塊圖    }   }   return PicArray;  }  /// <summary>  /// 返回灰度圖片的點陣描述字串，1表示灰點，0表示背景  /// </summary>  /// <param name="singlepic">灰度圖</param>  /// <param name="dgGrayValue">背前景灰色界限</param>  /// <returns></returns>  public string GetSingleBmpCode(Bitmap singlepic, int dgGrayValue)  {   Color piexl;   string code = "";   for (int posy = 0; posy < singlepic.Height; posy++)    for (int posx = 0; posx < singlepic.Width; posx++)    {     piexl = singlepic.GetPixel(posx, posy);     if (piexl.R < dgGrayValue)  // Color.Black )      code = code + "1";     else      code = code + "0";    }   return code;  }  /// <summary>  /// 得到灰度圖像前景背景的臨界值 最大類間方差法  /// </summary>  /// <returns>前景背景的臨界值</returns>  public int GetDgGrayValue()  {   int[] pixelNum = new int[256];   //圖象直方圖，共256個點   int n, n1, n2;   int total;        //total為總和，累計值   double m1, m2, sum, csum, fmax, sb;  //sb為類間方差，fmax存儲最大方差值   int k, t, q;   int threshValue = 1;      // 閾值   //生成直方圖   for (int i = 0; i < bmpobj.Width; i++)   {    for (int j = 0; j < bmpobj.Height; j++)    {     //返回各個點的顏色，以RGB表示     pixelNum[bmpobj.GetPixel(i, j).R]++;    //相應的直方圖加1    }   }   //直方圖平滑化   for (k = 0; k <= 255; k++)   {    total = 0;    for (t = -2; t <= 2; t++)    //與附近2個灰度做平滑化，t值應取較小的值    {     q = k + t;     if (q < 0)      //越界處理      q = 0;     if (q > 255)      q = 255;     total = total + pixelNum[q];  //total為總和，累計值    }    pixelNum[k] = (int)((float)total / 5.0 + 0.5);  //平滑化，左邊2個+中間1個+右邊2個灰度，共5個，所以總和除以5，后面加0.5是用修正值   }   //求閾值   sum = csum = 0.0;   n = 0;   //計算總的圖象的點數(shù)和質量矩，為后面的計算做準備   for (k = 0; k <= 255; k++)   {    sum += (double)k * (double)pixelNum[k];  //x*f(x)質量矩，也就是每個灰度的值乘以其點數(shù)（歸一化后為概率），sum為其總和    n += pixelNum[k];      //n為圖象總的點數(shù)，歸一化后就是累積概率   }   fmax = -1.0;       //類間方差sb不可能為負，所以fmax初始值為-1不影響計算的進行   n1 = 0;   for (k = 0; k < 256; k++)     //對每個灰度（從0到255）計算一次分割后的類間方差sb   {    n1 += pixelNum[k];     //n1為在當前閾值遍前景圖象的點數(shù)    if (n1 == 0) { continue; }    //沒有分出前景后景    n2 = n - n1;       //n2為背景圖象的點數(shù)    if (n2 == 0) { break; }    //n2為0表示全部都是后景圖象，與n1=0情況類似，之后的遍歷不可能使前景點數(shù)增加，所以此時可以退出循環(huán)    csum += (double)k * pixelNum[k];  //前景的“灰度的值*其點數(shù)”的總和    m1 = csum / n1;      //m1為前景的平均灰度    m2 = (sum - csum) / n2;    //m2為背景的平均灰度    sb = (double)n1 * (double)n2 * (m1 - m2) * (m1 - m2); //sb為類間方差    if (sb > fmax)     //如果算出的類間方差大于前一次算出的類間方差    {     fmax = sb;      //fmax始終為最大類間方差（otsu）     threshValue = k;    //取最大類間方差時對應的灰度的k就是最佳閾值    }   }   return threshValue;  }  /// <summary>  /// 去掉雜點（適合雜點/雜線粗為1）  /// </summary>  /// <param name="dgGrayValue">背前景灰色界限</param>  /// <returns></returns>  public void ClearNoise(int dgGrayValue, int MaxNearPoints)  {   Color piexl;   int nearDots = 0;   //逐點判斷   for (int i = 0; i < bmpobj.Width; i++)    for (int j = 0; j < bmpobj.Height; j++)    {     piexl = bmpobj.GetPixel(i, j);     if (piexl.R < dgGrayValue)     {      nearDots = 0;      //判斷周圍8個點是否全為空      if (i == 0 || i == bmpobj.Width - 1 || j == 0 || j == bmpobj.Height - 1) //邊框全去掉      {       bmpobj.SetPixel(i, j, Color.FromArgb(255, 255, 255));      }      else      {       if (bmpobj.GetPixel(i - 1, j - 1).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i, j - 1).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i + 1, j - 1).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i - 1, j).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i + 1, j).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i - 1, j + 1).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i, j + 1).R < dgGrayValue) nearDots++;       if (bmpobj.GetPixel(i + 1, j + 1).R < dgGrayValue) nearDots++;      }      if (nearDots < MaxNearPoints)       bmpobj.SetPixel(i, j, Color.FromArgb(255, 255, 255)); //去掉單點 && 粗細小3鄰邊點     }     else //背景      bmpobj.SetPixel(i, j, Color.FromArgb(255, 255, 255));    }  }  /// <summary>  /// 3×3中值濾波除雜  /// </summary>  /// <param name="dgGrayValue"></param>  public void ClearNoise(int dgGrayValue)  {   int x, y;   byte[] p = new byte[9]; //最小處理窗口3*3   byte s;   //byte[] lpTemp=new BYTE[nByteWidth*nHeight];   int i, j;   //--!!!!!!!!!!!!!!下面開始窗口為3×3中值濾波!!!!!!!!!!!!!!!!   for (y = 1; y < bmpobj.Height - 1; y++) //--第一行和最后一行無法取窗口   {    for (x = 1; x < bmpobj.Width - 1; x++)    {     //取9個點的值     p[0] = bmpobj.GetPixel(x - 1, y - 1).R;     p[1] = bmpobj.GetPixel(x, y - 1).R;     p[2] = bmpobj.GetPixel(x + 1, y - 1).R;     p[3] = bmpobj.GetPixel(x - 1, y).R;     p[4] = bmpobj.GetPixel(x, y).R;     p[5] = bmpobj.GetPixel(x + 1, y).R;     p[6] = bmpobj.GetPixel(x - 1, y + 1).R;     p[7] = bmpobj.GetPixel(x, y + 1).R;     p[8] = bmpobj.GetPixel(x + 1, y + 1).R;     //計算中值     for (j = 0; j < 5; j++)     {      for (i = j + 1; i < 9; i++)      {       if (p[j] > p[i])       {        s = p[j];        p[j] = p[i];        p[i] = s;       }      }     }     //  if (bmpobj.GetPixel(x, y).R < dgGrayValue)     bmpobj.SetPixel(x, y, Color.FromArgb(p[4], p[4], p[4]));  //給有效值付中值    }   }  }  /// <summary>  /// 該函數(shù)用于對圖像進行腐蝕運算。結構元素為水平方向或垂直方向的三個點，  /// 中間點位于原點；或者由用戶自己定義3×3的結構元素。  /// </summary>  /// <param name="dgGrayValue">前后景臨界值</param>  /// <param name="nMode">腐蝕方式：0表示水平方向，1垂直方向，2自定義結構元素。</param>  /// <param name="structure"> 自定義的3×3結構元素</param>  public void ErosionPic(int dgGrayValue, int nMode, bool[,] structure)  {   int lWidth = bmpobj.Width;   int lHeight = bmpobj.Height;   Bitmap newBmp = new Bitmap(lWidth, lHeight);   int i, j, n, m;    //循環(huán)變量   if (nMode == 0)   {    //使用水平方向的結構元素進行腐蝕    // 由于使用1×3的結構元素，為防止越界，所以不處理最左邊和最右邊    // 的兩列像素    for (j = 0; j < lHeight; j++)    {     for (i = 1; i < lWidth - 1; i++)     {      //目標圖像中的當前點先賦成黑色      newBmp.SetPixel(i, j, Color.Black);       //如果源圖像中當前點自身或者左右有一個點不是黑色，      //則將目標圖像中的當前點賦成白色      if (bmpobj.GetPixel(i - 1, j).R > dgGrayValue ||       bmpobj.GetPixel(i, j).R > dgGrayValue ||       bmpobj.GetPixel(i + 1, j).R > dgGrayValue)       newBmp.SetPixel(i, j, Color.White);     }    }   }   else if (nMode == 1)   {    //使用垂真方向的結構元素進行腐蝕    // 由于使用3×1的結構元素，為防止越界，所以不處理最上邊和最下邊    // 的兩行像素    for (j = 1; j < lHeight - 1; j++)    {     for (i = 0; i < lWidth; i++)     {      //目標圖像中的當前點先賦成黑色      newBmp.SetPixel(i, j, Color.Black);      //如果源圖像中當前點自身或者左右有一個點不是黑色，      //則將目標圖像中的當前點賦成白色      if (bmpobj.GetPixel(i, j - 1).R > dgGrayValue ||       bmpobj.GetPixel(i, j).R > dgGrayValue ||       bmpobj.GetPixel(i, j + 1).R > dgGrayValue)       newBmp.SetPixel(i, j, Color.White);     }    }   }   else   {    if (structure.Length != 9) //檢查自定義結構     return;    //使用自定義的結構元素進行腐蝕    // 由于使用3×3的結構元素，為防止越界，所以不處理最左邊和最右邊    // 的兩列像素和最上邊和最下邊的兩列像素    for (j = 1; j < lHeight - 1; j++)    {     for (i = 1; i < lWidth - 1; i++)     {      //目標圖像中的當前點先賦成黑色      newBmp.SetPixel(i, j, Color.Black);      //如果原圖像中對應結構元素中為黑色的那些點中有一個不是黑色，      //則將目標圖像中的當前點賦成白色      for (m = 0; m < 3; m++)      {       for (n = 0; n < 3; n++)       {        if (!structure[m, n])         continue;        if (bmpobj.GetPixel(i + m - 1, j + n - 1).R > dgGrayValue)        {         newBmp.SetPixel(i, j, Color.White);         break;        }       }      }     }    }   }   bmpobj = newBmp;  }  /// <summary>  /// 該函數(shù)用于對圖像進行細化運算。要求目標圖像為灰度圖像  /// </summary>  /// <param name="dgGrayValue"></param>  public void ThiningPic(int dgGrayValue)  {   int lWidth = bmpobj.Width;   int lHeight = bmpobj.Height;   // Bitmap newBmp = new Bitmap(lWidth, lHeight);   bool bModified;    //臟標記     int i, j, n, m;    //循環(huán)變量   //四個條件   bool bCondition1;   bool bCondition2;   bool bCondition3;   bool bCondition4;   int nCount;  //計數(shù)器     int[,] neighbour = new int[5, 5];  //5×5相鄰區(qū)域像素值   bModified = true;   while (bModified)   {    bModified = false;    //由于使用5×5的結構元素，為防止越界，所以不處理外圍的幾行和幾列像素    for (j = 2; j < lHeight - 2; j++)    {     for (i = 2; i < lWidth - 2; i++)     {      bCondition1 = false;      bCondition2 = false;      bCondition3 = false;      bCondition4 = false;      if (bmpobj.GetPixel(i, j).R > dgGrayValue)      {       if (bmpobj.GetPixel(i, j).R < 255)        bmpobj.SetPixel(i, j, Color.White);       continue;      }      //獲得當前點相鄰的5×5區(qū)域內像素值，白色用0代表，黑色用1代表      for (m = 0; m < 5; m++)      {       for (n = 0; n < 5; n++)       {        neighbour[m, n] = bmpobj.GetPixel(i + m - 2, j + n - 2).R < dgGrayValue ? 1 : 0;       }      }      //逐個判斷條件。      //判斷2<=NZ(P1)<=6      nCount = neighbour[1, 1] + neighbour[1, 2] + neighbour[1, 3]        + neighbour[2, 1] + neighbour[2, 3] +        +neighbour[3, 1] + neighbour[3, 2] + neighbour[3, 3];      if (nCount >= 2 && nCount <= 6)      {       bCondition1 = true;      }      //判斷Z0(P1)=1      nCount = 0;      if (neighbour[1, 2] == 0 && neighbour[1, 1] == 1)       nCount++;      if (neighbour[1, 1] == 0 && neighbour[2, 1] == 1)       nCount++;      if (neighbour[2, 1] == 0 && neighbour[3, 1] == 1)       nCount++;      if (neighbour[3, 1] == 0 && neighbour[3, 2] == 1)       nCount++;      if (neighbour[3, 2] == 0 && neighbour[3, 3] == 1)       nCount++;      if (neighbour[3, 3] == 0 && neighbour[2, 3] == 1)       nCount++;      if (neighbour[2, 3] == 0 && neighbour[1, 3] == 1)       nCount++;      if (neighbour[1, 3] == 0 && neighbour[1, 2] == 1)       nCount++;      if (nCount == 1)       bCondition2 = true;      //判斷P2*P4*P8=0 or Z0(p2)!=1      if (neighbour[1, 2] * neighbour[2, 1] * neighbour[2, 3] == 0)      {       bCondition3 = true;      }      else      {       nCount = 0;       if (neighbour[0, 2] == 0 && neighbour[0, 1] == 1)        nCount++;       if (neighbour[0, 1] == 0 && neighbour[1, 1] == 1)        nCount++;       if (neighbour[1, 1] == 0 && neighbour[2, 1] == 1)        nCount++;       if (neighbour[2, 1] == 0 && neighbour[2, 2] == 1)        nCount++;       if (neighbour[2, 2] == 0 && neighbour[2, 3] == 1)        nCount++;       if (neighbour[2, 3] == 0 && neighbour[1, 3] == 1)        nCount++;       if (neighbour[1, 3] == 0 && neighbour[0, 3] == 1)        nCount++;       if (neighbour[0, 3] == 0 && neighbour[0, 2] == 1)        nCount++;       if (nCount != 1)        bCondition3 = true;      }      //判斷P2*P4*P6=0 or Z0(p4)!=1      if (neighbour[1, 2] * neighbour[2, 1] * neighbour[3, 2] == 0)      {       bCondition4 = true;      }      else      {       nCount = 0;       if (neighbour[1, 1] == 0 && neighbour[1, 0] == 1)        nCount++;       if (neighbour[1, 0] == 0 && neighbour[2, 0] == 1)        nCount++;       if (neighbour[2, 0] == 0 && neighbour[3, 0] == 1)        nCount++;       if (neighbour[3, 0] == 0 && neighbour[3, 1] == 1)        nCount++;       if (neighbour[3, 1] == 0 && neighbour[3, 2] == 1)        nCount++;       if (neighbour[3, 2] == 0 && neighbour[2, 2] == 1)        nCount++;       if (neighbour[2, 2] == 0 && neighbour[1, 2] == 1)        nCount++;       if (neighbour[1, 2] == 0 && neighbour[1, 1] == 1)        nCount++;       if (nCount != 1)        bCondition4 = true;      }      if (bCondition1 && bCondition2 && bCondition3 && bCondition4)      {       bmpobj.SetPixel(i, j, Color.White);       bModified = true;      }      else      {       bmpobj.SetPixel(i, j, Color.Black);      }     }    }   }   // 復制細化后的圖像   //  bmpobj = newBmp;  }  /// <summary>  /// 銳化要啟用不安全代碼編譯  /// </summary>  /// <param name="val">銳化程度。取值[0,1]。值越大銳化程度越高</param>  /// <returns>銳化后的圖像</returns>  public void Sharpen(float val)  {   int w = bmpobj.Width;   int h = bmpobj.Height;   Bitmap bmpRtn = new Bitmap(w, h, PixelFormat.Format24bppRgb);   BitmapData srcData = bmpobj.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);   BitmapData dstData = bmpRtn.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.WriteOnly, PixelFormat.Format24bppRgb);   unsafe   {    byte* pIn = (byte*)srcData.Scan0.ToPointer();    byte* pOut = (byte*)dstData.Scan0.ToPointer();    int stride = srcData.Stride;    byte* p;    for (int y = 0; y < h; y++)    {     for (int x = 0; x < w; x++)     {      //取周圍9點的值。位于邊緣上的點不做改變。      if (x == 0 || x == w - 1 || y == 0 || y == h - 1)      {       //不做       pOut[0] = pIn[0];       pOut[1] = pIn[1];       pOut[2] = pIn[2];      }      else      {       int r1, r2, r3, r4, r5, r6, r7, r8, r0;       int g1, g2, g3, g4, g5, g6, g7, g8, g0;       int b1, b2, b3, b4, b5, b6, b7, b8, b0;       float vR, vG, vB;       //左上       p = pIn - stride - 3;       r1 = p[2];       g1 = p[1];       b1 = p[0];       //正上       p = pIn - stride;       r2 = p[2];       g2 = p[1];       b2 = p[0];       //右上       p = pIn - stride + 3;       r3 = p[2];       g3 = p[1];       b3 = p[0];       //左側       p = pIn - 3;       r4 = p[2];       g4 = p[1];       b4 = p[0];       //右側       p = pIn + 3;       r5 = p[2];       g5 = p[1];       b5 = p[0];       //右下       p = pIn + stride - 3;       r6 = p[2];       g6 = p[1];       b6 = p[0];       //正下       p = pIn + stride;       r7 = p[2];       g7 = p[1];       b7 = p[0];       //右下       p = pIn + stride + 3;       r8 = p[2];       g8 = p[1];       b8 = p[0];       //自己       p = pIn;       r0 = p[2];       g0 = p[1];       b0 = p[0];       vR = (float)r0 - (float)(r1 + r2 + r3 + r4 + r5 + r6 + r7 + r8) / 8;       vG = (float)g0 - (float)(g1 + g2 + g3 + g4 + g5 + g6 + g7 + g8) / 8;       vB = (float)b0 - (float)(b1 + b2 + b3 + b4 + b5 + b6 + b7 + b8) / 8;       vR = r0 + vR * val;       vG = g0 + vG * val;       vB = b0 + vB * val;       if (vR > 0)       {        vR = Math.Min(255, vR);       }       else       {        vR = Math.Max(0, vR);       }       if (vG > 0)       {        vG = Math.Min(255, vG);       }       else       {        vG = Math.Max(0, vG);       }       if (vB > 0)       {        vB = Math.Min(255, vB);       }       else       {        vB = Math.Max(0, vB);       }       pOut[0] = (byte)vB;       pOut[1] = (byte)vG;       pOut[2] = (byte)vR;      }      pIn += 3;      pOut += 3;     }// end of x     pIn += srcData.Stride - w * 3;     pOut += srcData.Stride - w * 3;    } // end of y   }   bmpobj.UnlockBits(srcData);   bmpRtn.UnlockBits(dstData);   bmpobj = bmpRtn;  }  /// <summary>  /// 圖片二值化  /// </summary>  /// <param name="hsb"></param>  public void BitmapTo1Bpp(Double hsb)  {   int w = bmpobj.Width;   int h = bmpobj.Height;   Bitmap bmp = new Bitmap(w, h, PixelFormat.Format1bppIndexed);   BitmapData data = bmp.LockBits(new Rectangle(0, 0, w, h), ImageLockMode.ReadWrite, PixelFormat.Format1bppIndexed);   for (int y = 0; y < h; y++)   {    byte[] scan = new byte[(w + 7) / 8];    for (int x = 0; x < w; x++)    {     Color c = bmpobj.GetPixel(x, y);     if (c.GetBrightness() >= hsb) scan[x / 8] |= (byte)(0x80 >> (x % 8));    }    Marshal.Copy(scan, 0, (IntPtr)((int)data.Scan0 + data.Stride * y), scan.Length);   }   bmp.UnlockBits(data);   bmpobj = bmp;  } }}