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C#图像处理的多种方法

2019-10-29 19:58:43
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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

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。

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。

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。

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。

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:

C#,图像处理

二值图像:

C#,图像处理

对比度增强:

C#,图像处理

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VEVB武林网。


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