验证码处理

using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Drawing;using System.Drawing.Imaging;using System.Runtime.InteropServices;namespace 验证码处理{    class VerifyCode    {        public Bitmap bmpobj;        public VerifyCode(Bitmap pic)        {            bmpobj = new Bitmap(pic);    //转换为Format32bppRgb        }        /// <summary>        /// 根据RGB，计算灰度值        /// </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>        /// 灰度转换,逐点方式        /// </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>        /// 去图形边框        /// </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>        /// 灰度转换,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);            //对图片进行处理            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转byte            }            bmpobj.UnlockBits(bmpData);            ////输出            //GCHandle gch = GCHandle.Alloc(pixels, GCHandleType.Pinned);            //bmpOutput = new Bitmap(bmpobj.Width, bmpobj.Height, bmpData.Stride, bmpData.PixelFormat, gch.AddrOfPinnedObject());            //gch.Free();        }        /// <summary>        /// 得到有效图形并调整为可平均分割的大小        /// </summary>        /// <param name="dgGrayValue">灰度背景分界值</param>        /// <param name="CharsCount">有效字符数</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++)      //找有效区            {                for (int j = 0; j < bmpobj.Width; j++)                {                    int pixelValue = bmpobj.GetPixel(j, i).R;                    if (pixelValue < dgGrayValue)     //根据灰度值                    {                        if (posx1 > j) posx1 = j;                        if (posy1 > i) posy1 = i;                        if (posx2 < j) posx2 = j;                        if (posy2 < i) posy2 = i;                    };                };            };            // 确保能整除            int Span = CharsCount - (posx2 - posx1 + 1) % CharsCount;   //可整除的差额数            if (Span < CharsCount)            {                int leftSpan = Span / 2;    //分配到左边的空列 ，如span为单数,则右边比左边大1                if (posx1 > leftSpan)                    posx1 = posx1 - leftSpan;                if (posx2 + Span - leftSpan < bmpobj.Width)                    posx2 = posx2 + Span - leftSpan;            }            //复制新图            Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);            bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);        }        /// <summary>        /// 得到有效图形,图形为类变量        /// </summary>        /// <param name="dgGrayValue">灰度背景分界值</param>        /// <param name="CharsCount">有效字符数</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++)      //找有效区            {                for (int j = 0; j < bmpobj.Width; j++)                {                    int pixelValue = bmpobj.GetPixel(j, i).R;                    if (pixelValue < dgGrayValue)     //根据灰度值                    {                        if (posx1 > j) posx1 = j;                        if (posy1 > i) posy1 = i;                        if (posx2 < j) posx2 = j;                        if (posy2 < i) posy2 = i;                    };                };            };            //复制新图            Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);            bmpobj = bmpobj.Clone(cloneRect, bmpobj.PixelFormat);        }        /// <summary>        /// 得到有效图形,图形由外面传入        /// </summary>        /// <param name="dgGrayValue">灰度背景分界值</param>        /// <param name="CharsCount">有效字符数</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++)      //找有效区            {                for (int j = 0; j < singlepic.Width; j++)                {                    int pixelValue = singlepic.GetPixel(j, i).R;                    if (pixelValue < dgGrayValue)     //根据灰度值                    {                        if (posx1 > j) posx1 = j;                        if (posy1 > i) posy1 = i;                        if (posx2 < j) posx2 = j;                        if (posy2 < i) posy2 = i;                    };                };            };            //复制新图            Rectangle cloneRect = new Rectangle(posx1, posy1, posx2 - posx1 + 1, posy2 - posy1 + 1);            return singlepic.Clone(cloneRect, singlepic.PixelFormat);        }        /// <summary>        /// 平均分割图片        /// </summary>        /// <param name="RowNum">水平上分割数</param>        /// <param name="ColNum">垂直上分割数</param>        /// <returns>分割好的图片数组</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++)      //找有效区            {                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);//复制小块图                }            }            return PicArray;        }        /// <summary>        /// 返回灰度图片的点阵描述字串，1表示灰点，0表示背景        /// </summary>        /// <param name="singlepic">灰度图</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>        /// 得到灰度图像前景背景的临界值 最大类间方差法        /// </summary>        /// <returns>前景背景的临界值</returns>        public int GetDgGrayValue()        {            int[] pixelNum = new int[256];           //图象直方图，共256个点            int n, n1, n2;            int total;                              //total为总和，累计值            double m1, m2, sum, csum, fmax, sb;     //sb为类间方差，fmax存储最大方差值            int k, t, q;            int threshValue = 1;                      // 阈值            //生成直方图            for (int i = 0; i < bmpobj.Width; i++)            {                for (int j = 0; j < bmpobj.Height; j++)                {                    //返回各个点的颜色，以RGB表示                    pixelNum[bmpobj.GetPixel(i, j).R]++;            //相应的直方图加1                }            }            //直方图平滑化            for (k = 0; k <= 255; k++)            {                total = 0;                for (t = -2; t <= 2; t++)              //与附近2个灰度做平滑化，t值应取较小的值                {                    q = k + t;                    if (q < 0)                     //越界处理                        q = 0;                    if (q > 255)                        q = 255;                    total = total + pixelNum[q];    //total为总和，累计值                }                pixelNum[k] = (int)((float)total / 5.0 + 0.5);    //平滑化，左边2个+中间1个+右边2个灰度，共5个，所以总和除以5，后面加0.5是用修正值            }            //求阈值            sum = csum = 0.0;            n = 0;            //计算总的图象的点数和质量矩，为后面的计算做准备            for (k = 0; k <= 255; k++)            {                sum += (double)k * (double)pixelNum[k];     //x*f(x)质量矩，也就是每个灰度的值乘以其点数（归一化后为概率），sum为其总和                n += pixelNum[k];                       //n为图象总的点数，归一化后就是累积概率            }            fmax = -1.0;                          //类间方差sb不可能为负，所以fmax初始值为-1不影响计算的进行            n1 = 0;            for (k = 0; k < 256; k++)                  //对每个灰度（从0到255）计算一次分割后的类间方差sb            {                n1 += pixelNum[k];                //n1为在当前阈值遍前景图象的点数                if (n1 == 0) { continue; }            //没有分出前景后景                n2 = n - n1;                        //n2为背景图象的点数                if (n2 == 0) { break; }               //n2为0表示全部都是后景图象，与n1=0情况类似，之后的遍历不可能使前景点数增加，所以此时可以退出循环                csum += (double)k * pixelNum[k];    //前景的“灰度的值*其点数”的总和                m1 = csum / n1;                     //m1为前景的平均灰度                m2 = (sum - csum) / n2;               //m2为背景的平均灰度                sb = (double)n1 * (double)n2 * (m1 - m2) * (m1 - m2);   //sb为类间方差                if (sb > fmax)                  //如果算出的类间方差大于前一次算出的类间方差                {                    fmax = sb;                    //fmax始终为最大类间方差（otsu）                    threshValue = k;              //取最大类间方差时对应的灰度的k就是最佳阈值                }            }            return threshValue;        }        /// <summary>        ///  去掉杂点（适合杂点/杂线粗为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;            //逐点判断            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;                        //判断周围8个点是否全为空                        if (i == 0 || i == bmpobj.Width - 1 || j == 0 || j == bmpobj.Height - 1)  //边框全去掉                        {                            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));   //去掉单点 && 粗细小3邻边点                    }                    else  //背景                        bmpobj.SetPixel(i, j, Color.FromArgb(255, 255, 255));                }        }        /// <summary>        /// 3×3中值滤波除杂        /// </summary>        /// <param name="dgGrayValue"></param>        public void ClearNoise(int dgGrayValue)        {            int x, y;            byte[] p = new byte[9]; //最小处理窗口3*3            byte s;            //byte[] lpTemp=new BYTE[nByteWidth*nHeight];            int i, j;            //--!!!!!!!!!!!!!!下面开始窗口为3×3中值滤波!!!!!!!!!!!!!!!!            for (y = 1; y < bmpobj.Height - 1; y++) //--第一行和最后一行无法取窗口            {                for (x = 1; x < bmpobj.Width - 1; x++)                {                    //取9个点的值                    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;                    //计算中值                    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]));    //给有效值付中值                }            }        }        /// <summary>        /// 该函数用于对图像进行腐蚀运算。结构元素为水平方向或垂直方向的三个点，        /// 中间点位于原点；或者由用户自己定义3×3的结构元素。        /// </summary>        /// <param name="dgGrayValue">前后景临界值</param>        /// <param name="nMode">腐蚀方式：0表示水平方向，1垂直方向，2自定义结构元素。</param>        /// <param name="structure"> 自定义的3×3结构元素</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;            //循环变量            if (nMode == 0)            {                //使用水平方向的结构元素进行腐蚀                // 由于使用1×3的结构元素，为防止越界，所以不处理最左边和最右边                // 的两列像素                for (j = 0; j < lHeight; j++)                {                    for (i = 1; i < lWidth - 1; i++)                    {                        //目标图像中的当前点先赋成黑色                        newBmp.SetPixel(i, j, Color.Black);                        //如果源图像中当前点自身或者左右有一个点不是黑色，                        //则将目标图像中的当前点赋成白色                        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)            {                //使用垂真方向的结构元素进行腐蚀                // 由于使用3×1的结构元素，为防止越界，所以不处理最上边和最下边                // 的两行像素                for (j = 1; j < lHeight - 1; j++)                {                    for (i = 0; i < lWidth; i++)                    {                        //目标图像中的当前点先赋成黑色                        newBmp.SetPixel(i, j, Color.Black);                        //如果源图像中当前点自身或者左右有一个点不是黑色，                        //则将目标图像中的当前点赋成白色                        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)  //检查自定义结构                    return;                //使用自定义的结构元素进行腐蚀                // 由于使用3×3的结构元素，为防止越界，所以不处理最左边和最右边                // 的两列像素和最上边和最下边的两列像素                for (j = 1; j < lHeight - 1; j++)                {                    for (i = 1; i < lWidth - 1; i++)                    {                        //目标图像中的当前点先赋成黑色                        newBmp.SetPixel(i, j, Color.Black);                        //如果原图像中对应结构元素中为黑色的那些点中有一个不是黑色，                        //则将目标图像中的当前点赋成白色                        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>        /// 该函数用于对图像进行细化运算。要求目标图像为灰度图像        /// </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;            //脏标记                int i, j, n, m;            //循环变量            //四个条件            bool bCondition1;            bool bCondition2;            bool bCondition3;            bool bCondition4;            int nCount;    //计数器                int[,] neighbour = new int[5, 5];    //5×5相邻区域像素值            bModified = true;            while (bModified)            {                bModified = false;                //由于使用5×5的结构元素，为防止越界，所以不处理外围的几行和几列像素                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;                        }                        //获得当前点相邻的5×5区域内像素值，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;                            }                        }                        //逐个判断条件。                        //判断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;                        }                        //判断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;                        //判断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;                        }                        //判断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);                        }                    }                }            }            // 复制细化后的图像            //    bmpobj = newBmp;        }        /// <summary>        /// 锐化要启用不安全代码编译        /// </summary>        /// <param name="val">锐化程度。取值[0,1]。值越大锐化程度越高</param>        /// <returns>锐化后的图像</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++)                    {                        //取周围9点的值。位于边缘上的点不做改变。                        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];                            //左侧                            p = pIn - 3;                            r4 = p[2];                            g4 = p[1];                            b4 = p[0];                            //右侧                            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>        /// 图片二值化        /// </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;        }    }}