C# EmguCV图像处理实例

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摘要

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C# EmguCV图像处理实例

1. 本例中,我们需要导入:Emgu.CV.UI.dll、Emgu.CV.World.dll

2. 然后在程序中导入命名空间:using Emgu.CV; using System.Diagnostics;

3. 然后拖3个ImageBox到主窗体,拖3个TextBox和4个Button到主窗体,如图所示:

功能说明:点击button1添加图片并显示到ImageBox1中;点击button2将ImageBox1中的图片去色,并将灰度图显示到ImageBox2中;点击button3直接载入新的图片并去色,然后显示到ImageBox3中;点击button4清除所有的图片和文本框中的内容。

using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Diagnostics; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; using Emgu.CV;  namespace WindowsFormsApplication8 { public partial class Form1 : Form     {         Mat img1 = null;         Mat img2 = null;         Mat img3 = null;         Stopwatch sw = new Stopwatch(); public Form1()         {             InitializeComponent();         }  private void button1_Click(object sender, EventArgs e)         {             OpenFileDialog lvse = new OpenFileDialog();             lvse.Title = "选择图片";             lvse.InitialDirectory = "";             lvse.Filter = "图片文件|*.bmp;*.jpg;*.jpeg;*.gif;*.png";             lvse.FilterIndex = 1;  if (lvse.ShowDialog() == DialogResult.OK)             {                 textBox1.Text = null;                                  sw.Restart();                  img1 = CvInvoke.Imread(lvse.FileName, Emgu.CV.CvEnum.LoadImageType.AnyColor);                  imageBox1.Width = img1.Width / 2;                 imageBox1.Height = img1.Height / 2;                 imageBox1.Image = img1;                                  sw.Stop();                 textBox1.Text = sw.ElapsedMilliseconds.ToString();             }          }  private void button2_Click(object sender, EventArgs e)         { if (img1 != null)             {                 img2 = new Mat(img1.Rows, img1.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 1);                 textBox2.Text = null;                 sw.Reset();                 sw.Start();                  CvInvoke.CvtColor(img1, img2, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);                 imageBox2.Width = img2.Width / 2;                 imageBox2.Height = img2.Height / 2;                 imageBox2.Image = img2;                  sw.Stop();                 textBox2.Text = sw.ElapsedMilliseconds.ToString();             }         }  private void button3_Click(object sender, EventArgs e)         {             textBox3.Text = null;             OpenFileDialog lvse = new OpenFileDialog();             lvse.Title = "选择图片";             lvse.InitialDirectory = "";             lvse.Filter = "图片文件|*.bmp;*.jpg;*.jpeg;*.gif;*.png";             lvse.FilterIndex = 1; if (lvse.ShowDialog() == DialogResult.OK)             {                 sw.Reset();                 sw.Start();                  img3 = CvInvoke.Imread(lvse.FileName, Emgu.CV.CvEnum.LoadImageType.Grayscale);                 imageBox3.Width = img3.Width / 2;                 imageBox3.Height = img3.Height / 2;                 imageBox3.Image = img3;                  sw.Stop();                 textBox3.Text = sw.ElapsedMilliseconds.ToString();             }         }  private void button4_Click(object sender, EventArgs e)         {             img1 = null;             img2 = null;             img3 = null;             imageBox1.Image = null;             imageBox2.Image = null;             imageBox3.Image = null;             textBox1.Text = null;             textBox2.Text = null;             textBox3.Text = null;         }     } } 

  运行结果如下:

C# EmguCV图像处理实例

 

 

其它:

创建图像并显示

 Image<Bgr, byte> image = new Image<Bgr, byte>(320, 240, new Bgr(0, 0, 255));

//创建一张320*240尺寸颜色为红色的图像。

            imageBox1.Image = image;//在ImageBox1控件中显示所创建好的图像。

加载当前环境目录下图片并显示:

 // MessageBox.Show(Environment.CurrentDirectory.ToString());

             Mat imgscr = CvInvoke.Imread(Environment.CurrentDirectory+"\1.jpg");//读取图像

            // CvInvoke.Imshow("img", imgscr);//显示图像

              imageBox2.Image = imgscr;//在ImageBox2控件中显示所创建好的图像。

             CvInvoke.WaitKey(0);//按键等待