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：

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