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C#图像处理的多种方法

本文实例为大家分享了c#图像处理的具体代码,供大家参考,具体内容如下

(1)在form1窗体中的picturebox1控件中显示通过openfiledialog指定的图像文件内容。

将sizemode设置成stretchimage

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private void 打开toolstripmenuitem_click( object sender, eventargs e)

     {

       openfiledialog open = new openfiledialog();

       open.filter = "所有文件|*.*" ;

       if (open.showdialog() == dialogresult.ok)

       {

         bitmap im = new bitmap(open.filename);

         picturebox1.image = im;

         //picturebox1.sizemode = pictureboxsizemode.stretchimage;

       }

     }

(2)编制一个图像格式转换的应用程序,实现bmp图像与jpeg图像的格式转换。

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private void bmptoolstripmenuitem_click( object sender, eventargs e)

     {

       bitmap box = new bitmap(picturebox1.image);

       savefiledialog sv1 = new savefiledialog();

       sv1.filter = "bmp|*.bmp" ;

       sv1.showdialog();

       string str = sv1.filename;

       box.save(str, system.drawing.imaging.imageformat.bmp);

     }

 

private void jpegtoolstripmenuitem_click( object sender, eventargs e)

     {

       bitmap box = new bitmap(picturebox1.image);

       savefiledialog sv1 = new savefiledialog();

       sv1.filter = "jpeg文件|*.jpeg" ;

       sv1.showdialog();

       string str = sv1.filename;

       box.save(str, system.drawing.imaging.imageformat.jpeg);

     }

(3)在窗体中添加两个picturebox,然后利用openfiledialog控件选择一彩色图像文件并在picturebox1中加载,然后将这一彩色图像转换为灰度图像,并在picturebox2中进行显示,将此图像保存为a.bmp。

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private void 灰度toolstripmenuitem_click( object sender, eventargs e)

     {

       picturebox2.sizemode = pictureboxsizemode.stretchimage;

       color c = new color();

       bitmap b1 = new bitmap(picturebox1.image);

       int rr, gg, bb, cc;

       for ( int i = 0; i < picturebox1.image.width; i++)

       {

         for ( int j = 0; j < picturebox1.image.height; j++)

         {

           c = b1.getpixel(i, j);

           rr = c.r;

           gg = c.g;

           bb = c.b;

           cc = ( int )((rr + gg + bb) / 3);

           if (cc < 0) cc = 0;

           if (cc > 255) cc = 255;

           color nc = color.fromargb(cc, cc, cc);

           b1.setpixel(i, j, nc);

         }

       }

       picturebox2.refresh();

       picturebox2.image = b1;

     }

private void 灰度图像存储toolstripmenuitem_click( object sender, eventargs e)

     {

 

       if (picturebox2.image != null )

       {

         bitmap box = new bitmap(picturebox2.image);

         savefiledialog sv1 = new savefiledialog();

         sv1.filter = "bmp文件|*.bmp" ;

         sv1.showdialog();

         string str = sv1.filename;

         box.save(str, system.drawing.imaging.imageformat.bmp);

         //picturebox2.sizemode = pictureboxsizemode.stretchimage;

       }

       else messagebox.show( "没有生成灰度图像" );

     }

(4)将(3)中制作的a.bmp图像加载到picturebox1,把a.bmp转换为二值图像,并在picturebox2中进行显示。

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private void 转化toolstripmenuitem_click( object sender, eventargs e)

     {

       //bitmap m = new bitmap(picturebox1.width, picturebox1.height);

       bitmap map= new bitmap(picturebox1.image);

       color c;

       for ( int i = 0; i < map.height; i++)

       {

         for ( int j = 0; j < map.width; j++)

         {

           c = map.getpixel(j, i);

           if (c.r > 100) c = color.fromargb(255, 255, 255); //红色分量值大于100则设成白色

           else c = color.black;

           map.setpixel(j, i, c);

         }

       }

       picturebox2.image = map;

       picturebox2.sizemode = pictureboxsizemode.stretchimage;

     }

(5)建立对比度增强算法,并对a.bmp图像进行对比度增强,显示在picturebox2中显示出来,与picturebox1中的a.bmp图像进行比较。

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private void 对比toolstripmenuitem_click( object sender, eventargs e)

     {

       color c = new color();

       bitmap box1 = new bitmap(picturebox1.image);

       int lev=30, wid=170;

       int [] map = new int [256];

       for ( int i=0;i<=lev;i++)

       {

         map[i]=0;

       }

       for ( int i=lev;i<=wid;i++) //对比度增强

       {

         map[i] = ( int )((i * 1.0 - lev) / wid * 255);

       }

       for ( int i = lev + wid; i < 256; i++)

       {

         map[i] = 255;

       }

       int gray;

       for ( int i = 0; i < box1.width; i++)

       {

         for ( int j = 0; j < box1.height; j++)

         {

           c = box1.getpixel(i, j);

           gray = c.r;

           c = color.fromargb(map[gray], map[gray], map[gray]);

           box1.setpixel(i, j, c);

         }

       }

       picturebox2.image = box1;

       picturebox2.sizemode = pictureboxsizemode.stretchimage;

  }

灰度图像:

二值图像:

对比度增强:

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。

原文链接:https://blog.csdn.net/theArcticOcean/article/details/50172559

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