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C#驗(yàn)證碼識(shí)別類(lèi)

2018-07-20    來(lái)源:open-open

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C#驗(yàn)證碼識(shí)別類(lèi),可以用于識(shí)別各種驗(yàn)證碼的算法演示

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(yàn)證碼處理
{
    class VerifyCode
    {
        public Bitmap bmpobj;
 
        public VerifyCode(Bitmap pic)
        {
            bmpobj = new Bitmap(pic);    //轉(zhuǎn)換為Format32bppRgb
        }
 
        /// <summary>
        /// 根據(jù)RGB,計(jì)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(zhuǎn)換,逐點(diǎn)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(zhuǎn)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(duì)圖片進(jìn)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(zhuǎn)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(diào)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(fù)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(lèi)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(fù)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(fù)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(fù)制小塊圖
                }
            }
            return PicArray;
        }
 
        /// <summary>
        /// 返回灰度圖片的點(diǎn)陣描述字串,1表示灰點(diǎn),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(lèi)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(gè)點(diǎn)
            int n, n1, n2;
            int total;                              //total為總和,累計(jì)值
            double m1, m2, sum, csum, fmax, sb;     //sb為類(lèi)間方差,fmax存儲(chǔ)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(gè)點(diǎn)的顏色,以RGB表示
                    pixelNum[bmpobj.GetPixel(i, j).R]++;            //相應(yīng)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(gè)灰度做平滑化,t值應(yīng)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(jì)值
                }
                pixelNum[k] = (int)((float)total / 5.0 + 0.5);    //平滑化,左邊2個(gè)+中間1個(gè)+右邊2個(gè)灰度,共5個(gè),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(jì)算總的圖象的點(diǎn)數(shù)和質(zhì)量矩,為后面的計(jì)算做準(zhǔn)備
            for (k = 0; k <= 255; k++)
            {
                sum += (double)k * (double)pixelNum[k];     //x*f(x)質(zhì)量矩,也就是每個(gè)灰度的值乘以其點(diǎn)數(shù)(歸一化后為概率),sum為其總和
                n += pixelNum[k];                       //n為圖象總的點(diǎn)數(shù),歸一化后就是累積概率
            }
 
            fmax = -1.0;                          //類(lèi)間方差sb不可能為負(fù),所以fmax初始值為-1不影響計(jì)算的進(jìn)行
            n1 = 0;
            for (k = 0; k < 256; k++)                  //對(duì)每個(gè)灰度(從0到255)計(jì)算一次分割后的類(lèi)間方差sb
            {
                n1 += pixelNum[k];                //n1為在當(dāng)前閾值遍前景圖象的點(diǎn)數(shù)
                if (n1 == 0) { continue; }            //沒(méi)有分出前景后景
                n2 = n - n1;                        //n2為背景圖象的點(diǎn)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(lèi)似,之后的遍歷不可能使前景點(diǎn)數(shù)增加,所以此時(shí)可以退出循環(huán)
                csum += (double)k * pixelNum[k];    //前景的“灰度的值*其點(diǎn)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(lèi)間方差
                if (sb > fmax)                  //如果算出的類(lèi)間方差大于前一次算出的類(lèi)間方差
                {
                    fmax = sb;                    //fmax始終為最大類(lèi)間方差(otsu)
                    threshValue = k;              //取最大類(lèi)間方差時(shí)對(duì)應(yīng)的灰度的k就是最佳閾值
                }
            }
            return threshValue;
        }
 
        /// <summary>
        ///  去掉雜點(diǎn)(適合雜點(diǎn)/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(diǎn)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?chē)?個(gè)點(diǎn)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(diǎn) && 粗細(xì)小3鄰邊點(diǎn)
                    }
                    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(kāi)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(wú)法取窗口
            {
                for (x = 1; x < bmpobj.Width - 1; x++)
                {
                    //取9個(gè)點(diǎn)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(jì)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(duì)圖像進(jìn)行腐蝕運(yùn)算。結(jié)構(gòu)元素為水平方向或垂直方向的三個(gè)點(diǎn),
        /// 中間點(diǎn)位于原點(diǎn);或者由用戶自己定義3×3的結(jié)構(gòu)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(jié)構(gòu)元素。</param>
        /// <param name="structure"> 自定義的3×3結(jié)構(gòu)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(jié)構(gòu)元素進(jìn)行腐蝕
                // 由于使用1×3的結(jié)構(gòu)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(biāo)圖像中的當(dāng)前點(diǎn)先賦成黑色
                        newBmp.SetPixel(i, j, Color.Black);
 
                        //如果源圖像中當(dāng)前點(diǎn)自身或者左右有一個(gè)點(diǎn)不是黑色,
                        //則將目標(biāo)圖像中的當(dāng)前點(diǎn)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(jié)構(gòu)元素進(jìn)行腐蝕
                // 由于使用3×1的結(jié)構(gòu)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(biāo)圖像中的當(dāng)前點(diǎn)先賦成黑色
                        newBmp.SetPixel(i, j, Color.Black);
 
                        //如果源圖像中當(dāng)前點(diǎn)自身或者左右有一個(gè)點(diǎn)不是黑色,
                        //則將目標(biāo)圖像中的當(dāng)前點(diǎn)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(jié)構(gòu)
                    return;
                //使用自定義的結(jié)構(gòu)元素進(jìn)行腐蝕
                // 由于使用3×3的結(jié)構(gòu)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(biāo)圖像中的當(dāng)前點(diǎn)先賦成黑色
                        newBmp.SetPixel(i, j, Color.Black);
                        //如果原圖像中對(duì)應(yīng)結(jié)構(gòu)元素中為黑色的那些點(diǎn)中有一個(gè)不是黑色,
                        //則將目標(biāo)圖像中的當(dāng)前點(diǎn)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(duì)圖像進(jìn)行細(xì)化運(yùn)算。要求目標(biāo)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(biāo)記   
            int i, j, n, m;            //循環(huán)變量
 
            //四個(gè)條件
            bool bCondition1;
            bool bCondition2;
            bool bCondition3;
            bool bCondition4;
 
            int nCount;    //計(jì)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(jié)構(gòu)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(dāng)前點(diǎn)相鄰的5×5區(qū)域內(nèi)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(gè)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(fù)制細(xì)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?chē)?點(diǎn)的值。位于邊緣上的點(diǎn)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(cè)
                            p = pIn - 3;
                            r4 = p[2];
                            g4 = p[1];
                            b4 = p[0];
 
                            //右側(cè)
                            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;
        }
    }
}

標(biāo)簽: 安全 代碼

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