c#图片各种处理旋转-裁剪-分辨率调整

PAGEPAGE25一、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:privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;Bitmapbmp=newBitmap("rama.jpg");//加载图像g.FillRectangle(Brushes.White,this.ClientRectangle);//填充窗体背景为白色Point[]destinationPoints={newPoint(100,0),//destinationforupper-leftpointoforiginalnewPoint(100,100),//destinationforupper-rightpointoforiginalnewPoint(0,0)};//destinationforlower-leftpointoforiginalg.DrawImage(bmp,destinationPoints);}//旋转图像180°代码如下:privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;Bitmapbmp=newBitmap("rama.jpg");g.FillRectangle(Brushes.White,this.ClientRectangle);Point[]destinationPoints={newPoint(0,100),//destinationforupper-leftpointoforiginalnewPoint(100,100),//destinationforupper-rightpointoforiginalnewPoint(0,0)};//destinationforlower-leftpointoforiginalg.DrawImage(bmp,destinationPoints);}//图像切变代码:privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;Bitmapbmp=newBitmap("rama.jpg");g.FillRectangle(Brushes.White,this.ClientRectangle);Point[]destinationPoints={newPoint(0,0),//destinationforupper-leftpointoforiginalnewPoint(100,0),//destinationforupper-rightpointoforiginalnewPoint(50,100)};//destinationforlower-leftpointoforiginalg.DrawImage(bmp,destinationPoints);}//图像截取:privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;Bitmapbmp=newBitmap("rama.jpg");g.FillRectangle(Brushes.White,this.ClientRectangle);Rectanglesr=newRectangle(80,60,400,400);//要截取的矩形区域Rectangledr=newRectangle(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:privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;Bitmapbmp=newBitmap("rama.jpg");g.FillRectangle(Brushes.White,this.ClientRectangle);intwidth=bmp.Width;intheight=bmp.Height;//改变图像大小使用低质量的模式g.InterpolationMode=InterpolationMode.NearestNeighbor;g.DrawImage(bmp,newRectangle(10,10,120,120),//sourcerectanglenewRectangle(0,0,width,height),//destinationrectangleGraphicsUnit.Pixel);//使用高质量模式//g.CompositingQuality=CompositingQuality.HighSpeed;g.InterpolationMode=InterpolationMode.HighQualityBicubic;g.DrawImage(bmp,newRectangle(130,10,120,120),newRectangle(0,0,width,height),GraphicsUnit.Pixel);}//设置图像的分辩率:privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;Bitmapbmp=newBitmap("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privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){GraphicsgForm=e.Graphics;gForm.FillRectangle(Brushes.White,this.ClientRectangle);for(inti=1;i<=7;++i){//在窗体上面画出橙色的矩形Rectangler=newRectangle(i*40-15,0,15,this.ClientRectangle.Height);gForm.FillRectangle(Brushes.Orange,r);}//在内存中创建一个Bitmap并设置CompositingModeBitmapbmp=newBitmap(260,260,System.Drawing.Imaging.PixelFormat.Format32bppArgb);GraphicsgBmp=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Colorred=Color.FromArgb(0x60,0xff,0,0);BrushredBrush=newSolidBrush(red);gBmp.FillEllipse(redBrush,70,70,160,160);//创建一个带有Alpha的绿色区域Colorgreen=Color.FromArgb(0x40,0,0xff,0);BrushgreenBrush=newSolidBrush(green);gBmp.FillRectangle(greenBrush,10,10,140,140);//在窗体上面画出位图nowdrawthebitmaponourwindowgForm.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privatevoidForm1_Paint(objectsender,System.Windows.Forms.PaintEventArgse){Graphicsg=e.Graphics;PenblackPen=newPen(Color.Black,1);if(ClientRectangle.Height/10>0){for(inty=0;y<ClientRectangle.Height;y+=ClientRectangle.Height/10){g.DrawLine(blackPen,newPoint(0,0),newPoint(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（intx,inty）和SetPixel（intx,inty,Colorcolor）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WindowsForm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BitmapbmpRes=null;StringstrPath=Application.ExecutablePath;try{intnEndIndex=strPath.LastIndexOf('//');strPath=strPath.Substring(0,nEndIndex)+"//Bmp//BmpResMM.bmp";bmpRes=newBitmap(strPath);//窗体上显示加载图片pictureBoxBmpRes.Width=bmpRes.Width;pictureBoxBmpRes.Height=bmpRes.Height;pictureBoxBmpRes.Image=bmpRes;}catch(Exceptionex){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)intnYClipNum=2,nXClipNum=3;Bitmap[]bmpaClipBmpArr=newBitmap[nYClipNum*nXClipNum];for(intnYClipNumIndex=0;nYClipNumIndex<nYClipNum;nYClipNumIndex++){for(intnXClipNumIndex=0;nXClipNumIndex<nXClipNum;nXClipNumIndex++){intnClipWidth=bmpRes.Width/nXClipNum;intnClipHight=bmpRes.Height/nYClipNum;intnBmpIndex=nXClipNumIndex+nYClipNumIndex*nYClipNum+(nYClipNumIndex>0?1:0);bmpaClipBmpArr[nBmpIndex]=newBitmap(nClipWidth,nClipHight);for(intnY=0;nY<nClipHight;nY++){for(intnX=0;nX<nClipWidth;nX++){intnClipX=nX+nClipWidth*nXClipNumIndex;intnClipY=nY+nClipHight*nYClipNumIndex;ColorcClipPixel=bmpRes.GetPixel(nClipX,nClipY);bmpaClipBmpArr[nBmpIndex].SetPixel(nX,nY,cClipPixel);}}}}PictureBox[]picbShow=newPictureBox[nYClipNum*nXClipNum];picbShow[0]=pictureBox1;picbShow[1]=pictureBox2;picbShow[2]=pictureBox3;picbShow[3]=pictureBox4;picbShow[4]=pictureBox5;picbShow[5]=pictureBox6;for(intnLoop=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intnBmpIndex=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(intnYClipNumIndex=0;nYClipNumIndex<nYClipNum;nYClipNumIndex++){for(intnXClipNumIndex=0;nXClipNumIndex<nXClipNum;nXClipNumIndex++){intnClipWidth=bmpRes.Width/nXClipNum;intnClipHight=bmpRes.Height/nYClipNum;intnBmpIndex=nXClipNumIndex+nYClipNumIndex*nYClipNum+(nYClipNumIndex>0?1:0);RectanglerClipRect=newRectangle(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，RectanglerClipRect=newRectangle(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:privatevoidbutton1_Click(objectsender,EventArgse){//以底片效果显示图像try{intHeight=this.pictureBox1.Image.Height;intWidth=this.pictureBox1.Image.Width;Bitmapnewbitmap=newBitmap(Width,Height);Bitmapoldbitmap=(Bitmap)this.pictureBox1.Image;Colorpixel;for(intx=1;x<Width;x++){for(inty=1;y<Height;y++){intr,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(Exceptionex){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:privatevoidbutton1_Click(objectsender,EventArgse){//以浮雕效果显示图像try{intHeight=this.pictureBox1.Image.Height;intWidth=this.pictureBox1.Image.Width;BitmapnewBitmap=newBitmap(Width,Height);BitmapoldBitmap=(Bitmap)this.pictureBox1.Image;Colorpixel1,pixel2;for(intx=0;x<Width-1;x++){for(inty=0;y<Height-1;y++){intr=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(Exceptionex){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:privatevoidbutton1_Click(objectsender,EventArgse){//以黑白效果显示图像try{intHeight=this.pictureBox1.Image.Height;intWidth=this.pictureBox1.Image.Width;BitmapnewBitmap=newBitmap(Width,Height);BitmapoldBitmap=(Bitmap)this.pictureBox1.Image;Colorpixel;for(intx=0;x<Width;x++)for(inty=0;y<Height;y++){pixel=oldBitmap.GetPixel(x,y);intr,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intiType=2;switch(iType){case0://平均值法Result=((r+g+b)/3);break;case1://最大值法Result=r>g?r:g;Result=Result>b?Result:b;break;case2://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(Exceptionex){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:privatevoidbutton1_Click(objectsender,EventArgse){//以柔化效果显示图像try{intHeight=this.pictureBox1.Image.Height;intWidth=this.pictureBox1.Image.Width;Bitmapbitmap=newBitmap(Width,Height);BitmapMyBitmap=(Bitmap)this.pictureBox1.Image;Colorpixel;//高斯模板int[]Gauss={1,2,1,2,4,2,1,2,1};for(intx=1;x<Width-1;x++)for(inty=1;y<Height-1;y++){intr=0,g=0,b=0;intIndex=0;for(intcol=-1;col<=1;col++)for(introw=-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(Exceptionex){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:privatevoidbutton1_Click(objectsender,EventArgse){//以锐化效果显示图像try{intHeight=this.pictureBox1.Image.Height;intWidth=this.pictureBox1.Image.Width;BitmapnewBitmap=newBitmap(Width,Height);BitmapoldBitmap=(Bitmap)this.pictureBox1.Image;Colorpixel;//拉普拉斯模板int[]Laplacian={-1,-1,-1,-1,9,-1,-1,-1,-1};for(intx=1;x<Width-1;x++)for(inty=1;y<Height-1;y++){intr=0,g=0,b=0;intIndex=0;for(intcol=-1;col<=1;col++)for(introw=-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(Exceptionex){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:privatevoidbutton1_Click(objectsender,EventArgse){//以雾化效果显示图像try{intHeight=this.pictureBox1.Image.Height;intWidth=this.pictureBox1.Image.Width;BitmapnewBitmap=newBitmap(Width,Height);BitmapoldBitmap=(Bitmap)this.pictureBox1.Image;Colorpixel;for(intx=1;x<Width-1;x++)for(inty=1;y<Height-1;y++){System.RandomMyRandom=newRandom();intk=MyRandom.Next(123456);//像素块大小intdx=x+k%19;intdy=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(Exceptionex){MessageBox.Show(ex.Message,"信息提示");}}浅谈VisualC#进行图像处理作者：彭军这里之所以说“浅谈”是因为我这里只是简单的介绍如何使用VisualC#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VisualC#中我们可以使用一个PictureBox控件来显示图片，如下：privatevoidbtnOpenImage_Click(objectsender,EventArgse){OpenFileDialogofd=newOpenFileDialog();ofd.Filter="BMPFiles(*.bmp)|*.bmp|JPGFiles(*.jpg;*.jpeg)|*.jpg;*.jpeg|AllFiles(*.*)|*.*";ofd.CheckFileExists=true;ofd.CheckPathExists=true;if(ofd.ShowDialog()==DialogResult.OK){//pbxShowImage.ImageLocation=ofd.FileName;bmp=newBitmap(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：privateBitmapbmp=null;在使用Bitmap类和BitmapData类之前，需要使用usingSystem.Drawing.Imaging;二、保存图像privatevoidbtnSaveImage_Click(objectsender,EventArgse){if(bmp==null)return;SaveFileDialogsfd=newSaveFileDialog();sfd.Filter="BMPFiles(*.bmp)|*.bmp|JPGFiles(*.jpg;*.jpeg)|*.jpg;*.jpeg|AllFiles(*.*)|*.*";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：usingSystem;usingSystem.Collections.Generic;usingSystem.Linq;usingSystem.Text;usingSystem.Drawing;usingSystem.Drawing.Imaging;usingSystem.Windows.Forms;namespaceImageElf{classGrayBitmapData{publicbyte[,]Data;//保存像素矩阵publicintWidth;//图像的宽度publicintHeight;//图像的高度publicGrayBitmapData(){this.Width=0;this.Height=0;this.Data=null;}publicGrayBitmapData(Bitmapbmp){BitmapDatabmpData=bmp.LockBits(newRectangle(0,0,bmp.Width,bmp.Height),ImageLockMode.ReadOnly,PixelFormat.Format24bppRgb);this.Width=bmpData.Width;this.Height=bmpData.Height;Data=newbyte[Height,Width];unsafe{byte*ptr=(byte*)bmpData.Scan0.ToPointer();for(inti=0;i<Height;i++){for(intj=0;j<Width;j++){//将24位的RGB彩色图转换为灰度图inttemp=(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);}publicGrayBitmapData(stringpath):this(newBitmap(path)){}publicBitmapToBitmap(){Bitmapbmp=newBitmap(Width,Height,PixelFormat.Format24bppRgb);BitmapDatabmpData=bmp.LockBits(newRectangle(0,0,Width,Height),ImageLockMode.WriteOnly,PixelFormat.Format24bppRgb);unsafe{byte*ptr=(byte*)bmpData.Scan0.ToPointer();for(inti=0;i<Height;i++){for(intj=0;j<Width;j++){*(ptr++)=Data[i,j];*(ptr++)=Data[i,j];*(ptr++)=Data[i,j];}ptr+=bmpData.Stride-Width*3;}}bmp.UnlockBits(bmpData);returnbmp;}publicvoidShowImage(PictureBoxpbx){Bitmapb=this.ToBitmap();pbx.Image=b;//b.Dispose();}publicvoidSaveImage(stringpath){Bitmapb=ToBitmap();b.Save(path);//b.Dispose();}//均值滤波publicvoidAverageFilter(intwindowSize){if(windowSize%2==0){return;}for(inti=0;i<Height;i++){for(intj=0;j<Width;j++){intsum=0;for(intg=-(windowSize-1)/2;g<=(windowSize-1)/2;g++){for(intk=-(windowSize-1)/2;k<=(windowSize-1)/2;k++){inta=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publicvoidMidFilter(intwindowSize){if(windowSize%2==0){return;}int[]temp=newint[windowSize*windowSize];byte[,]newdata=newbyte[Height,Width];for(inti=0;i<Height;i++){for(intj=0;j<Width;j++){intn=0;for(intg=-(windowSize-1)/2;g<=(windowSize-1)/2;g++){for(intk=-(windowSize-1)/2;k<=(windowSize-1)/2;k++){inta=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(inti=0;i<Height;i++){for(intj=0;j<Width;j++){Data[i,j]=newdata[i,j];}}}//获得一个向量的中值privatebyteGetMidValue(int[]t,intlength){inttemp=0;for(inti=0;i<length-2;i++){for(intj=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publicvoidNewFilter(intwindowSize){if(windowSize%2==0){return;}for(inti=0;i<Height;i++){for(intj=0;j<Width;j++){intsum=0;for(intg=-(windowSize-1)/2;g<=(windowSize-1)/2;g++){for(intk=-(windowSize-1)/2;k<=(windowSize-1)/2;k++){inta=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];}}doubleavg=(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publicvoidHistEqual(){double[]num=newdouble[25