打开APP
userphoto
未登录

开通VIP,畅享免费电子书等14项超值服

开通VIP
C#图像处理(各种旋转、改变大小、柔化、锐化、雾化、底片、浮雕、黑白、滤镜效果)
一、各种旋转、改变大小注意:先要添加画图相关的using引用。//向右旋转图像90°代码如下:private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Bitmap bmp = new Bitmap("rama.jpg");//加载图像g.FillRectangle(Brushes.White, this.ClientRectangle);//填充窗体背景为白色Point[] destinationPoints = {new Point(100, 0), // destination for upper-left point of originalnew Point(100, 100),// destination for upper-right point of originalnew Point(0, 0)}; // destination for lower-left point of originalg.DrawImage(bmp, destinationPoints);}//旋转图像180°代码如下:private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);Point[] destinationPoints = {new Point(0, 100), // destination for upper-left point of originalnew Point(100, 100),// destination for upper-right point of originalnew Point(0, 0)}; // destination for lower-left point of originalg.DrawImage(bmp, destinationPoints);}//图像切变代码:private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);Point[] destinationPoints = {new Point(0, 0), // destination for upper-left point of originalnew Point(100, 0), // destination for upper-right point of originalnew Point(50, 100)};// destination for lower-left point of originalg.DrawImage(bmp, destinationPoints);}//图像截取:private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);Rectangle sr = new Rectangle(80, 60, 400, 400);//要截取的矩形区域Rectangle dr = new Rectangle(0, 0, 200, 200);//要显示到Form的矩形区域g.DrawImage(bmp, dr, sr, GraphicsUnit.Pixel);}//改变图像大小:private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);int width = bmp.Width;int height = bmp.Height;// 改变图像大小使用低质量的模式g.InterpolationMode = InterpolationMode.NearestNeighbor;g.DrawImage(bmp, new Rectangle(10, 10, 120, 120), // source rectanglenew Rectangle(0, 0, width, height), // destination rectangleGraphicsUnit.Pixel);// 使用高质量模式//g.CompositingQuality = CompositingQuality.HighSpeed;g.InterpolationMode = InterpolationMode.HighQualityBicubic;g.DrawImage(bmp,new Rectangle(130, 10, 120, 120), new Rectangle(0, 0, width, height),GraphicsUnit.Pixel);}//设置图像的分辩率:private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Bitmap bmp = new Bitmap("rama.jpg");g.FillRectangle(Brushes.White, this.ClientRectangle);bmp.SetResolution(300f, 300f);g.DrawImage(bmp, 0, 0);bmp.SetResolution(1200f, 1200f);g.DrawImage(bmp, 180, 0);}//用GDI+画图private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics gForm = e.Graphics;gForm.FillRectangle(Brushes.White, this.ClientRectangle);for (int i = 1; i <= 7; ++i){//在窗体上面画出橙色的矩形Rectangle r = new Rectangle(i*40-15, 0, 15,this.ClientRectangle.Height);gForm.FillRectangle(Brushes.Orange, r);}//内存中创建一个Bitmap并设置CompositingModeBitmap bmp = new Bitmap(260, 260,System.Drawing.Imaging.PixelFormat.Format32bppArgb);Graphics gBmp = Graphics.FromImage(bmp);gBmp.CompositingMode = System.Drawing.Drawing2D.CompositingMode.SourceCopy;// 创建一个带有Alpha的红色区域// 并将其画在内存的位图里面Color red = Color.FromArgb(0x60, 0xff, 0, 0);Brush redBrush = new SolidBrush(red);gBmp.FillEllipse(redBrush, 70, 70, 160, 160);// 创建一个带有Alpha的绿色区域Color green = Color.FromArgb(0x40, 0, 0xff, 0);Brush greenBrush = new SolidBrush(green);gBmp.FillRectangle(greenBrush, 10, 10, 140, 140);//在窗体上面画出位图 now draw the bitmap on our windowgForm.DrawImage(bmp, 20, 20, bmp.Width, bmp.Height);// 清理资源bmp.Dispose();gBmp.Dispose();redBrush.Dispose();greenBrush.Dispose();}//在窗体上面绘图并显示图像private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e){Graphics g = e.Graphics;Pen blackPen = new Pen(Color.Black, 1);if (ClientRectangle.Height / 10 > 0){for (int y = 0; y < ClientRectangle.Height; y += ClientRectangle.Height / 10){g.DrawLine(blackPen, new Point(0, 0), new Point(ClientRectangle.Width, y));}}blackPen.Dispose();} C# 使用Bitmap类进行图片裁剪  在Mapwin(手机游戏地图编辑器)生成的地图txt文件中添加自己需要处理的数据后转换成可在手机(Ophone)开发环境中使用的字节流地图文件的小工具,其中就涉及到图片的裁剪和生成了。有以下几种方式。 方法一:拷贝像素。 当然这种方法是最笨的,效率也就低了些。在Bitmap类中我们可以看到这样两个方法:GetPixel(int x, int y)和SetPixel(int x, int y, Color color)方法。从字面的含以上就知道前者是获取图像某点像素值,是用Color对象返回的;后者是将已知像素描画到制定的位置。下面就来做个实例检验下:1.首先创建一个Windows Form窗体程序,往该窗体上拖放7个PictureBox控件,第一个用于放置并显示原始的大图片,其后6个用于放置并显示裁剪后新生成的6个小图;2.放置原始大图的PictureBox控件name属性命名为pictureBoxBmpRes,其后pictureBox1到pictureBox6依次命名,并放置在合适的位置;3.双击Form窗体,然后在Form1_Load事件中加入下面的代码即可。//导入图像资源            Bitmap bmpRes = null;            String strPath = Application.ExecutablePath;            try{                int nEndIndex = strPath.LastIndexOf('//');                strPath = strPath.Substring(0,nEndIndex) + "//Bmp//BmpResMM.bmp";                bmpRes = new Bitmap(strPath);                 //窗体上显示加载图片                pictureBoxBmpRes.Width = bmpRes.Width;                pictureBoxBmpRes.Height = bmpRes.Height;                pictureBoxBmpRes.Image = bmpRes;            }            catch(Exception ex)            {               System.Windows.Forms.MessageBox.Show("图片资源加载失败!/r/n" + ex.ToString());            }             //裁剪图片(裁成2行3列的6张图片)            int nYClipNum = 2, nXClipNum = 3;            Bitmap[] bmpaClipBmpArr = new Bitmap[nYClipNum * nXClipNum];                        for (int nYClipNumIndex = 0; nYClipNumIndex < nYClipNum; nYClipNumIndex++)            {                for (int nXClipNumIndex = 0; nXClipNumIndex < nXClipNum; nXClipNumIndex++)                {                    int nClipWidth = bmpRes.Width / nXClipNum;                    int nClipHight = bmpRes.Height / nYClipNum;                    int nBmpIndex = nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0?1:0);                    bmpaClipBmpArr[nBmpIndex] = new Bitmap(nClipWidth, nClipHight);                     for(int nY = 0; nY < nClipHight; nY++)                    {                        for(int nX = 0; nX < nClipWidth; nX++)                        {                            int nClipX = nX + nClipWidth * nXClipNumIndex;                            int nClipY = nY + nClipHight * nYClipNumIndex;                            Color cClipPixel = bmpRes.GetPixel(nClipX, nClipY);                            bmpaClipBmpArr[nBmpIndex].SetPixel(nX, nY, cClipPixel);                        }                    }                                   }            }            PictureBox[] picbShow = new PictureBox[nYClipNum * nXClipNum];            picbShow[0] = pictureBox1;            picbShow[1] = pictureBox2;            picbShow[2] = pictureBox3;            picbShow[3] = pictureBox4;            picbShow[4] = pictureBox5;            picbShow[5] = pictureBox6;            for (int nLoop = 0; nLoop < nYClipNum * nXClipNum; nLoop++)            {                picbShow[nLoop].Width = bmpRes.Width / nXClipNum;                picbShow[nLoop].Height = bmpRes.Height / nYClipNum;                picbShow[nLoop].Image = bmpaClipBmpArr[nLoop];                           } 现在看看那些地方需要注意的了。其中int nBmpIndex =nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0?1:0); 这句定义了存储裁剪图片对象在数组中的索引,需要注意的就是后面的(nYClipNumIndex > 0?1:0)——因为只有当裁剪的对象处于第一行以外的行时需要将索引加1;另外,因为这种方法的效率不高,程序运行起来还是顿了下。如果有兴趣的话,可以将以上的代码放到一个按钮Click事件函数中,当单击该按钮时就可以感觉到了。  方法二:运用Clone函数局部复制。 同样在Bitmap中可以找到Clone()方法,该方法有三个重载方法。Clone(),Clone(Rectangle, PixelFormat)和Clone(RectangleF, PixelFormat)。第一个方法将创建并返回一个精确的实例对象,后两个就是我们这里需要用的局部裁剪了(其实后两个方法本人觉得用法上差不多)。将上面的程序稍稍改进下——将裁剪的处理放到一个按钮事件函数中,然后再托一个按钮好窗体上,最后将下面的代码复制到该按钮的事件函数中。for (int nYClipNumIndex = 0; nYClipNumIndex < nYClipNum; nYClipNumIndex++){       for (int nXClipNumIndex = 0; nXClipNumIndex < nXClipNum; nXClipNumIndex++)         {              int nClipWidth = bmpRes.Width / nXClipNum;                      int nClipHight = bmpRes.Height / nYClipNum;                int nBmpIndex =nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0 ? 1 : 0);                     Rectangle rClipRect = new Rectangle(nClipWidth * nXClipNumIndex,                                                            nClipHight * nYClipNumIndex,                                                            nClipWidth,                                                            nClipHight);                             bmpaClipBmpArr[nBmpIndex] = bmpRes.Clone(rClipRect, bmpRes.PixelFormat);            }}  运行程序,单击按钮检验下,发现速度明显快可很多。其实这种方法较第一中方法不同的地方仅只是变换了for循环中的拷贝部分的处理,Rectangle rClipRect = new Rectangle(nClipWidth * nXClipNumIndex,                                                            nClipHight * nYClipNumIndex,                                                            nClipWidth,                                                            nClipHight); bmpaClipBmpArr[nBmpIndex] = bmpRes.Clone(rClipRect, bmpRes.PixelFormat);    一. 底片效果原理: GetPixel方法获得每一点像素的值, 然后再使用SetPixel方法将取反后的颜色值设置到对应的点.效果图:代码实现:          private void button1_Click(object sender, EventArgs e)        {            //以底片效果显示图像            try            {                int Height = this.pictureBox1.Image.Height;                int Width = this.pictureBox1.Image.Width;                Bitmap newbitmap = new Bitmap(Width, Height);                Bitmap oldbitmap = (Bitmap)this.pictureBox1.Image;                Color pixel;                for (int x = 1; x < Width; x++)                {                    for (int y = 1; y < Height; y++)                    {                        int r, g, b;                        pixel = oldbitmap.GetPixel(x, y);                        r = 255 - pixel.R;                        g = 255 - pixel.G;                        b = 255 - pixel.B;                        newbitmap.SetPixel(x, y, Color.FromArgb(r, g, b));                    }                }                this.pictureBox1.Image = newbitmap;            }            catch (Exception ex)            {                MessageBox.Show(ex.Message, "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Information);            }        }二. 浮雕效果原理: 对图像像素点的像素值分别与相邻像素点的像素值相减后加上128, 然后将其作为新的像素点的值.效果图:     代码实现:       private void button1_Click(object sender, EventArgs e)        {            //以浮雕效果显示图像            try            {                int Height = this.pictureBox1.Image.Height;                int Width = this.pictureBox1.Image.Width;                Bitmap newBitmap = new Bitmap(Width, Height);                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;                Color pixel1, pixel2;                for (int x = 0; x < Width - 1; x++)                {                    for (int y = 0; y < Height - 1; y++)                    {                        int r = 0, g = 0, b = 0;                        pixel1 = oldBitmap.GetPixel(x, y);                        pixel2 = oldBitmap.GetPixel(x + 1, y + 1);                        r = Math.Abs(pixel1.R - pixel2.R + 128);                        g = Math.Abs(pixel1.G - pixel2.G + 128);                        b = Math.Abs(pixel1.B - pixel2.B + 128);                        if (r > 255)                            r = 255;                        if (r < 0)                            r = 0;                        if (g > 255)                            g = 255;                        if (g < 0)                            g = 0;                        if (b > 255)                            b = 255;                        if (b < 0)                            b = 0;                        newBitmap.SetPixel(x, y, Color.FromArgb(r, g, b));                    }                }                this.pictureBox1.Image = newBitmap;            }            catch (Exception ex)            {                MessageBox.Show(ex.Message, "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Information);            }        }三. 黑白效果原理: 彩色图像处理成黑白效果通常有3种算法;(1).最大值法: 使每个像素点的 R, G, B 值等于原像素点的 RGB (颜色值) 中最大的一个;(2).平均值法: 使用每个像素点的 R,G,B值等于原像素点的RGB值的平均值;(3).加权平均值法: 对每个像素点的 R, G, B值进行加权      ---自认为第三种方法做出来的黑白效果图像最 "真实".效果图:    代码实现:        private void button1_Click(object sender, EventArgs e)        {            //以黑白效果显示图像            try            {                int Height = this.pictureBox1.Image.Height;                int Width = this.pictureBox1.Image.Width;                Bitmap newBitmap = new Bitmap(Width, Height);                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;                Color pixel;                for (int x = 0; x < Width; x++)                    for (int y = 0; y < Height; y++)                    {                        pixel = oldBitmap.GetPixel(x, y);                        int r, g, b, Result = 0;                        r = pixel.R;                        g = pixel.G;                        b = pixel.B;                        //实例程序以加权平均值法产生黑白图像                        int iType =2;                        switch (iType)                        {                            case 0://平均值法                                Result = ((r + g + b) / 3);                                break;                            case 1://最大值法                                Result = r > g ? r : g;                                Result = Result > b ? Result : b;                                break;                            case 2://加权平均值法                                Result = ((int)(0.7 * r) + (int)(0.2 * g) + (int)(0.1 * b));                                break;                        }                        newBitmap.SetPixel(x, y, Color.FromArgb(Result, Result, Result));                    }                this.pictureBox1.Image = newBitmap;            }            catch (Exception ex)            {                MessageBox.Show(ex.Message, "信息提示");            }        } 四. 柔化效果原理: 当前像素点与周围像素点的颜色差距较大时取其平均值.效果图:    代码实现:        private void button1_Click(object sender, EventArgs e)        {            //以柔化效果显示图像            try            {                int Height = this.pictureBox1.Image.Height;                int Width = this.pictureBox1.Image.Width;                Bitmap bitmap = new Bitmap(Width, Height);                Bitmap MyBitmap = (Bitmap)this.pictureBox1.Image;                Color pixel;                //高斯模板                int[] Gauss ={ 1, 2, 1, 2, 4, 2, 1, 2, 1 };                for (int x = 1; x < Width - 1; x++)                    for (int y = 1; y < Height - 1; y++)                    {                        int r = 0, g = 0, b = 0;                        int Index = 0;                        for (int col = -1; col <= 1; col++)                            for (int row = -1; row <= 1; row++)                            {                                pixel = MyBitmap.GetPixel(x + row, y + col);                                r += pixel.R * Gauss[Index];                                g += pixel.G * Gauss[Index];                                b += pixel.B * Gauss[Index];                                Index++;                            }                        r /= 16;                        g /= 16;                        b /= 16;                        //处理颜色值溢出                        r = r > 255 ? 255 : r;                        r = r < 0 ? 0 : r;                        g = g > 255 ? 255 : g;                        g = g < 0 ? 0 : g;                        b = b > 255 ? 255 : b;                        b = b < 0 ? 0 : b;                        bitmap.SetPixel(x - 1, y - 1, Color.FromArgb(r, g, b));                    }                this.pictureBox1.Image = bitmap;            }            catch (Exception ex)            {                MessageBox.Show(ex.Message, "信息提示");            }        }五.锐化效果原理:突出显示颜色值大(即形成形体边缘)的像素点.效果图:    实现代码:       private void button1_Click(object sender, EventArgs e)        {            //以锐化效果显示图像            try            {                int Height = this.pictureBox1.Image.Height;                int Width = this.pictureBox1.Image.Width;                Bitmap newBitmap = new Bitmap(Width, Height);                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;                Color pixel;                //拉普拉斯模板                int[] Laplacian ={ -1, -1, -1, -1, 9, -1, -1, -1, -1 };                for (int x = 1; x < Width - 1; x++)                    for (int y = 1; y < Height - 1; y++)                    {                        int r = 0, g = 0, b = 0;                        int Index = 0;                        for (int col = -1; col <= 1; col++)                            for (int row = -1; row <= 1; row++)                            {                                pixel = oldBitmap.GetPixel(x + row, y + col); r += pixel.R * Laplacian[Index];                                g += pixel.G * Laplacian[Index];                                b += pixel.B * Laplacian[Index];                                Index++;                            }                        //处理颜色值溢出                        r = r > 255 ? 255 : r;                        r = r < 0 ? 0 : r;                        g = g > 255 ? 255 : g;                        g = g < 0 ? 0 : g;                        b = b > 255 ? 255 : b;                        b = b < 0 ? 0 : b;                        newBitmap.SetPixel(x - 1, y - 1, Color.FromArgb(r, g, b));                    }                this.pictureBox1.Image = newBitmap;            }            catch (Exception ex)            {                MessageBox.Show(ex.Message, "信息提示");            }        }六. 雾化效果原理: 在图像中引入一定的随机值, 打乱图像中的像素值效果图:  实现代码:       private void button1_Click(object sender, EventArgs e)        {            //以雾化效果显示图像            try            {                int Height = this.pictureBox1.Image.Height;                int Width = this.pictureBox1.Image.Width;                Bitmap newBitmap = new Bitmap(Width, Height);                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;                Color pixel;                for (int x = 1; x < Width - 1; x++)                    for (int y = 1; y < Height - 1; y++)                    {                        System.Random MyRandom = new Random();                        int k = MyRandom.Next(123456);                        //像素块大小                        int dx = x + k % 19;                        int dy = y + k % 19;                        if (dx >= Width)                            dx = Width - 1;                        if (dy >= Height)                            dy = Height - 1;                        pixel = oldBitmap.GetPixel(dx, dy);                        newBitmap.SetPixel(x, y, pixel);                    }                this.pictureBox1.Image = newBitmap;            }            catch (Exception ex)            {                MessageBox.Show(ex.Message, "信息提示");            }        }            浅谈Visual C#进行图像处理 作者:彭军 http://pengjun.org.cn这里之所以说“浅谈”是因为我这里只是简单的介绍如何使用Visual C#进行图像的读入、保存以及对像素的访问。而不涉及太多的算法。一、读入图像在Visual C#中我们可以使用一个Picture Box控件来显示图片,如下:        private void btnOpenImage_Click(object sender, EventArgs e)        {            OpenFileDialog ofd = new OpenFileDialog();            ofd.Filter = "BMP Files(*.bmp)|*.bmp|JPG Files(*.jpg;*.jpeg)|*.jpg;*.jpeg|All Files(*.*)|*.*";            ofd.CheckFileExists = true;            ofd.CheckPathExists = true;            if (ofd.ShowDialog() == DialogResult.OK)            {                //pbxShowImage.ImageLocation = ofd.FileName;                bmp = new Bitmap(ofd.FileName);                if (bmp==null)                {                    MessageBox.Show("加载图片失败!", "错误");                    return;                }                pbxShowImage.Image = bmp;                ofd.Dispose();            }        }其中bmp为类的一个对象:private Bitmap bmp=null;在使用Bitmap类和BitmapData类之前,需要使用using System.Drawing.Imaging;二、保存图像        private void btnSaveImage_Click(object sender, EventArgs e)        {            if (bmp == null) return;            SaveFileDialog sfd = new SaveFileDialog();            sfd.Filter = "BMP Files(*.bmp)|*.bmp|JPG Files(*.jpg;*.jpeg)|*.jpg;*.jpeg|All Files(*.*)|*.*";            if (sfd.ShowDialog() == DialogResult.OK)            {                pbxShowImage.Image.Save(sfd.FileName);                MessageBox.Show("保存成功!","提示");                sfd.Dispose();            }        }三、对像素的访问我们可以来建立一个GrayBitmapData类来做相关的处理。整个类的程序如下:using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Drawing;using System.Drawing.Imaging;using System.Windows.Forms;namespace ImageElf{    class GrayBitmapData    {        public byte[,] Data;//保存像素矩阵        public int Width;//图像的宽度        public int Height;//图像的高度        public GrayBitmapData()        {            this.Width = 0;            this.Height = 0;            this.Data = null;        }        public GrayBitmapData(Bitmap bmp)        {            BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, bmp.Width, bmp.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);            this.Width = bmpData.Width;            this.Height = bmpData.Height;            Data = new byte[Height, Width];            unsafe            {                byte* ptr = (byte*)bmpData.Scan0.ToPointer();                for (int i = 0; i < Height; i++)                {                    for (int j = 0; j < Width; j++)                    {    //将24位的RGB彩色图转换为灰度图                        int temp = (int)(0.114 * (*ptr++)) + (int)(0.587 * (*ptr++))+(int)(0.299 * (*ptr++));                        Data[i, j] = (byte)temp;                    }                    ptr += bmpData.Stride - Width * 3;//指针加上填充的空白空间                }            }            bmp.UnlockBits(bmpData);        }        public GrayBitmapData(string path)            : this(new Bitmap(path))        {        }        public Bitmap ToBitmap()        {            Bitmap bmp=new Bitmap(Width,Height,PixelFormat.Format24bppRgb);            BitmapData bmpData=bmp.LockBits(new Rectangle(0,0,Width,Height),ImageLockMode.WriteOnly,PixelFormat.Format24bppRgb);            unsafe            {                byte* ptr=(byte*)bmpData.Scan0.ToPointer();                for(int i=0;i<Height;i++)                {                    for(int j=0;j<Width;j++)                    {                        *(ptr++)=Data[i,j];                        *(ptr++)=Data[i,j];                        *(ptr++)=Data[i,j];                    }                    ptr+=bmpData.Stride-Width*3;                }            }            bmp.UnlockBits(bmpData);            return bmp;        }        public void ShowImage(PictureBox pbx)        {            Bitmap b = this.ToBitmap();            pbx.Image = b;            //b.Dispose();        }        public void SaveImage(string path)        {            Bitmap b=ToBitmap();            b.Save(path);            //b.Dispose();        }//均值滤波        public void AverageFilter(int windowSize)        {            if (windowSize % 2 == 0)            {                return;            }            for (int i = 0; i < Height; i++)            {                for (int j = 0; j < Width; j++)                {                    int sum = 0;                    for (int g = -(windowSize - 1) / 2; g <= (windowSize - 1) / 2; g++)                    {                        for (int k = -(windowSize - 1) / 2; k <= (windowSize - 1) / 2; k++)                        {                            int a = i + g, b = j + k;                            if (a < 0) a = 0;                            if (a > Height - 1) a = Height - 1;                            if (b < 0) b = 0;                            if (b > Width - 1) b = Width - 1;                            sum += Data[a, b];                        }                    }                    Data[i,j]=(byte)(sum/(windowSize*windowSize));                }            }        }//中值滤波        public void MidFilter(int windowSize)        {            if (windowSize % 2 == 0)            {                return;            }            int[] temp = new int[windowSize * windowSize];            byte[,] newdata = new byte[Height, Width];            for (int i = 0; i < Height; i++)            {                for (int j = 0; j < Width; j++)                {                    int n = 0;                    for (int g = -(windowSize - 1) / 2; g <= (windowSize - 1) / 2; g++)                    {                        for (int k = -(windowSize - 1) / 2; k <= (windowSize - 1) / 2; k++)                        {                            int a = i + g, b = j + k;                            if (a < 0) a = 0;                            if (a > Height - 1) a = Height - 1;                            if (b < 0) b = 0;                            if (b > Width - 1) b = Width - 1;                            temp[n++]= Data[a, b];                        }                    }                    newdata[i, j] = GetMidValue(temp,windowSize*windowSize);                }            }            for (int i = 0; i < Height; i++)            {                for (int j = 0; j < Width; j++)                {                    Data[i, j] = newdata[i, j];                }            }        }//获得一个向量的中值        private byte GetMidValue(int[] t, int length)        {            int temp = 0;            for (int i = 0; i < length - 2; i++)            {                for (int j = i + 1; j < length - 1; j++)                {                    if (t[i] > t[j])                    {                        temp = t[i];                        t[i] = t[j];                        t[j] = temp;                    }                }            }            return (byte)t[(length - 1) / 2];        }//一种新的滤波方法,是亮的更亮、暗的更暗        public void NewFilter(int windowSize)        {            if (windowSize % 2 == 0)            {                return;            }            for (int i = 0; i < Height; i++)            {                for (int j = 0; j < Width; j++)                {                    int sum = 0;                    for (int g = -(windowSize - 1) / 2; g <= (windowSize - 1) / 2; g++)                    {                        for (int k = -(windowSize - 1) / 2; k <= (windowSize - 1) / 2; k++)                        {                            int a = i + g, b = j + k;                            if (a < 0) a = 0;                            if (a > Height - 1) a = Height - 1;                            if (b < 0) b = 0;                            if (b > Width - 1) b = Width - 1;                            sum += Data[a, b];                        }                    }                    double avg = (sum+0.0) / (windowSize * windowSize);                    if (avg / 255 < 0.5)                    {                        Data[i, j] = (byte)(2 * avg / 255 * Data[i, j]);                    }                    else                    {                        Data[i,j]=(byte)((1-2*(1-avg/255.0)*(1-Data[i,j]/255.0))*255);                    }                }            }        }//直方图均衡        public void HistEqual()        {            double[] num = new double[256] ;            for(int i=0;i<256;i++) num[i]=0;            for (int i = 0; i < Height; i++)            {                for (int j = 0; j < Width; j++)                {                    num[Data[i, j]]++;                }            }            double[] newGray = new double[256];            double n = 0;            for (int i = 0; i < 256; i++)            {                n += num[i];                newGray[i] = n * 255 / (Height * Width);            }            for (int i = 0; i < Height; i++)            {                for (int j = 0; j < Width; j++)                {                    Data[i,j]=(byte)newGray[Data[i,j]];                }            }        }}}在GrayBitmapData类中,只要我们对一个二维数组Data进行一系列的操作就是对图片的操作处理。在窗口上,我们可以使用一个按钮来做各种调用://均值滤波        private void btnAvgFilter_Click(object sender, EventArgs e)        {            if (bmp == null) return;            GrayBitmapData gbmp = new GrayBitmapData(bmp);            gbmp.AverageFilter(3);            gbmp.ShowImage(pbxShowImage);        }//转换为灰度图        private void btnToGray_Click(object sender, EventArgs e)        {            if (bmp == null) return;            GrayBitmapData gbmp = new GrayBitmapData(bmp);            gbmp.ShowImage(pbxShowImage);        } 四、总结在Visual c#中对图像进行处理或访问,需要先建立一个Bitmap对象,然后通过其LockBits方法来获得一个BitmapData类的对象,然后通过获得其像素数据的首地址来对Bitmap对象的像素数据进行操作。当然,一种简单但是速度慢的方法是用Bitmap类的GetPixel和SetPixel方法。其中BitmapData类的Stride属性为每行像素所占的字节。           C# colorMatrix 对图片的处理 : 亮度调整 抓屏 翻转 随鼠标画矩形 1.图片亮度处理         private void btn_Grap_Click(object sender, EventArgs e)        {            //亮度百分比            int percent = 50;            Single v = 0.006F * percent;                Single[][] matrix = {                         new Single[] { 1, 0, 0, 0, 0 },                         new Single[] { 0, 1, 0, 0, 0 },                          new Single[] { 0, 0, 1, 0, 0 },                         new Single[] { 0, 0, 0, 1, 0 },                         new Single[] { v, v, v, 0, 1 }                 };                System.Drawing.Imaging.ColorMatrix cm = new System.Drawing.Imaging.ColorMatrix(matrix);            System.Drawing.Imaging.ImageAttributes attr = new System.Drawing.Imaging.ImageAttributes();                attr.SetColorMatrix(cm);                //Image tmp             Image tmp = Image.FromFile("1.png");             this.pictureBox_Src.Image = Image.FromFile("1.png");             Graphics g = Graphics.FromImage(tmp);              try              {                Rectangle destRect = new Rectangle(0, 0, tmp.Width, tmp.Height);                        g.DrawImage(tmp, destRect, 0, 0, tmp.Width, tmp.Height, GraphicsUnit.Pixel, attr);                }                finally                {                        g.Dispose();                }             this.pictureBox_Dest.Image = (Image)tmp.Clone();        }  2.抓屏将生成的图片显示在pictureBox         private void btn_Screen_Click(object sender, EventArgs e)        {            Image myImage = new Bitmap(Screen.PrimaryScreen.Bounds.Width, Screen.PrimaryScreen.Bounds.Height);            Graphics g = Graphics.FromImage(myImage);            g.CopyFromScreen(new Point(0, 0), new Point(0, 0), new Size(Screen.PrimaryScreen.Bounds.Width, Screen.PrimaryScreen.Bounds.Height));            //IntPtr dc1 = g.GetHdc();      //此处这两句多余,具体看最后GetHdc()定义            //g.ReleaseHdc(dc1);                       g.Dispose();            this.pictureBox_Src.SizeMode = PictureBoxSizeMode.StretchImage;            this.pictureBox_Src.Image = myImage;            myImage.Save("Screen", ImageFormat.Png);     } 3.翻转         private void btn_RotateFlip_Click(object sender, EventArgs e)        {            this.pictureBox_Src.Image = Image.FromFile("1.png");             Image tmp = Image.FromFile("1.png");             tmp.RotateFlip(RotateFlipType.Rotate90FlipNone);            this.pictureBox_Dest.Image = tmp;        }4.跟随鼠标在 pictureBox的图片上画矩形        private int intStartX = 0;        private int intStartY = 0;        private bool isMouseDraw = false;         private void pictureBox_Src_MouseDown(object sender, MouseEventArgs e)        {            isMouseDraw = true;             intStartX = e.X;            intStartY = e.Y;        }         private void pictureBox_Src_MouseMove(object sender, MouseEventArgs e)        {            if (isMouseDraw)            {                try                {                    //Image tmp = Image.FromFile("1.png");                    Graphics g = this.pictureBox_Src.CreateGraphics();                    //清空上次画下的痕迹                    g.Clear(this.pictureBox_Src.BackColor);                    Brush brush = new SolidBrush(Color.Red);                    Pen pen = new Pen(brush, 1);                    pen.DashStyle = DashStyle.Solid;                    g.DrawRectangle(pen, new Rectangle(intStartX > e.X ? e.X : intStartX, intStartY > e.Y ? e.Y : intStartY, Math.Abs(e.X - intStartX), Math.Abs(e.Y - intStartY)));                    g.Dispose();                    //this.pictureBox_Src.Image = tmp;                }                catch (Exception ex)                {                    ex.ToString();                }            }        }         private void pictureBox_Src_MouseUp(object sender, MouseEventArgs e)        {            isMouseDraw = false;             intStartX = 0;            intStartY = 0;        }5.取灰度         private void btn_GetGray_Click(object sender, EventArgs e)        {            this.pictureBox_Src.Image = Image.FromFile("1.png");            Bitmap currentBitmap = new Bitmap(this.pictureBox_Src.Image);            Graphics g = Graphics.FromImage(currentBitmap);            ImageAttributes ia = new ImageAttributes();            float[][] colorMatrix =   {                    new   float[]   {0.299f,   0.299f,   0.299f,   0,   0},                new   float[]   {0.587f,   0.587f,   0.587f,   0,   0},                new   float[]   {0.114f,   0.114f,   0.114f,   0,   0},                new   float[]   {0,   0,   0,   1,   0},                new   float[]   {0,   0,   0,   0,   1}            };            ColorMatrix cm = new ColorMatrix(colorMatrix);            ia.SetColorMatrix(cm, ColorMatrixFlag.Default, ColorAdjustType.Bitmap);            g.DrawImage(currentBitmap, new Rectangle(0, 0, currentBitmap.Width, currentBitmap.Height), 0, 0, currentBitmap.Width, currentBitmap.Height, GraphicsUnit.Pixel, ia);            this.pictureBox_Dest.Image = (Image)(currentBitmap.Clone());            g.Dispose();        }    Graphics.GetHdc 方法.NET Framework 4获取与此 Graphics 关联的设备上下文的句柄。命名空间:  System.Drawing程序集:  System.Drawing(在 System.Drawing.dll 中)语法[SecurityPermissionAttribute(SecurityAction.LinkDemand, Flags =SecurityPermissionFlag.UnmanagedCode)]public IntPtr GetHdc()返回值类型:System.IntPtr与此 Graphics 关联的设备上下文的句柄。实现IDeviceContext.GetHdc()备注设备上下文是一个基于 GDI 的 Windows 结构,它定义一组图形对象及其关联的特性,以及影响输出的图形模式。 此方法返回该设备上下文(字体除外)。由于未选择字体,使用 GetHdc 方法返回的句柄对 FromHdc 方法进行调用将会失败。GetHdc 方法调用和 ReleaseHdc 方法调用必须成对出现。 在 GetHdc 和 ReleaseHdc 方法对的范围内,通常仅调用 GDI 函数。 在该范围内对 Graphics(它产生 hdc 参数)的 GDI+ 方法的调用因 ObjectBusy 错误而失败。 此外,GDI+ 忽略后续操作中对 hdc 参数的 Graphics 所做的所有状态更改。示例下面的代码示例设计为与 Windows 窗体一起使用,它需要 PaintEventArgse,即 Paint 事件处理程序的一个参数。 该示例演示如何调用 Windows GDI 函数以执行与 GDI+ Graphics 方法相同的任务。 代码执行下列操作:为 Windows DLL 文件 gdi32.dll 定义互操作性 DllImportAttribute 特性。 此 DLL 包含所需的 GDI 函数。将该 DLL 中的 Rectangle 函数定义为外部函数。创建一支红色钢笔。利用该钢笔,使用 GDI+ DrawRectangle 方法将矩形绘制到屏幕。定义内部指针类型变量 hdc 并将它的值设置为窗体的设备上下文句柄。使用 GDI Rectangle 函数将矩形绘制到屏幕。释放由 hdc 参数表示的设备上下文。 public class GDI{    [System.Runtime.InteropServices.DllImport("gdi32.dll")]    internal static extern bool Rectangle(       IntPtr hdc,       int ulCornerX, int ulCornerY,       int lrCornerX, int lrCornerY);} [System.Security.Permissions.SecurityPermission(System.Security.Permissions.SecurityAction.LinkDemand, Flags =System.Security.Permissions.SecurityPermissionFlag.UnmanagedCode)]           private void GetHdcForGDI1(PaintEventArgs e){    // Create pen.    Pen redPen = new Pen(Color.Red, 1);     // Draw rectangle with GDI+.    e.Graphics.DrawRectangle(redPen, 10, 10, 100, 50);     // Get handle to device context.    IntPtr hdc = e.Graphics.GetHdc();     // Draw rectangle with GDI using default pen.    GDI.Rectangle(hdc, 10, 70, 110, 120);     // Release handle to device context.    e.Graphics.ReleaseHdc(hdc);} 

 

本站仅提供存储服务,所有内容均由用户发布,如发现有害或侵权内容,请点击举报
打开APP,阅读全文并永久保存 查看更多类似文章
猜你喜欢
类似文章
【热】打开小程序,算一算2024你的财运
Cropping Particular Region In Image Using C#
使用GDI+对图像处理的一些C#代码
GDI 入门(C#高速处理版本)
开发.NET桌面应用必备GDI技术大揭秘实现高效绘图和图像处理
C# WebBrowser 抓图获取网页验证码 | 真有意思
AForge学习笔记(5):AForge.Imaging(上)
更多类似文章 >>
生活服务
热点新闻
分享 收藏 导长图 关注 下载文章
绑定账号成功
后续可登录账号畅享VIP特权!
如果VIP功能使用有故障,
可点击这里联系客服!

联系客服