C#圖像處理的多種方法

2019-10-29 19:58:43

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本文實例為大家分享了C#圖像處理的具體代碼，供大家參考，具體內容如下

（1）在Form1窗體中的PictureBox1控件中顯示通過OpenFileDialog指定的圖像文件內容。

將SizeMode設置成StretchImage

private void 打開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）編制一個圖像格式轉換的應用程序，實現BMP圖像與JPEG圖像的格式轉換。

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）在窗體中添加兩個PictureBox，然后利用OpenFileDialog控件選擇一彩色圖像文件并在pictureBox1中加載，然后將這一彩色圖像轉換為灰度圖像，并在pictureBox2中進行顯示，將此圖像保存為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 灰度圖像存儲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("沒有生成灰度圖像");    }

（4）將（3）中制作的a.bmp圖像加載到PictureBox1，把a.bmp轉換為二值圖像，并在pictureBox2中進行顯示。

private void 轉化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); //紅色分量值大于100則設成白色          else c = Color.Black;          map.SetPixel(j, i, c);        }      }      pictureBox2.Image = map;      pictureBox2.SizeMode = PictureBoxSizeMode.StretchImage;    }

（5）建立對比度增強算法，并對a.bmp圖像進行對比度增強，顯示在pictureBox2中顯示出來,與PictureBox1中的a.bmp圖像進行比較。

private void 對比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++) //對比度增強      {        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; }

灰度圖像：

C#,圖像處理