Emgu 两幅图像相减计算

最新推荐文章于 2021-11-14 19:58:35 发布

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本文介绍了一个使用C#和Emgu CV库实现的图像处理应用程序，该程序能够加载两张灰度图像并进行相减计算，最后显示结果图像。

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using Emgu.CV;
using Emgu.CV.CvEnum;
using Emgu.CV.Structure;
using Emgu.Util;

namespace 图像相减计算
{
    public partial class Form1 : Form
    {
        IntPtr img1;
        IntPtr img2;
        public Form1()
        {
            InitializeComponent();
        }
        //载入图像img1
        private void button1_Click(object sender, EventArgs e)
        {
            string strFileName = string.Empty;
            OpenFileDialog ofd = new OpenFileDialog();
            if (ofd.ShowDialog() == DialogResult.OK)
            {
                img1 = CvInvoke.cvLoadImage(ofd.FileName, Emgu.CV.CvEnum.LOAD_IMAGE_TYPE.CV_LOAD_IMAGE_GRAYSCALE);
                Image<Gray, Byte> img_1 = new Image<Gray, Byte>(CvInvoke.cvGetSize(img1));
                CvInvoke.cvCopy(img1, img_1, IntPtr.Zero);
                imageBox1.Image = img_1;


            }
        }
        //载入图像img2
        private void button2_Click(object sender, EventArgs e)
        {
            string strFileName = string.Empty;
            OpenFileDialog ofd = new OpenFileDialog();
            if (ofd.ShowDialog() == DialogResult.OK)
            {
                img2 = CvInvoke.cvLoadImage(ofd.FileName, Emgu.CV.CvEnum.LOAD_IMAGE_TYPE.CV_LOAD_IMAGE_GRAYSCALE);
                Image<Gray, Byte> img_2 = new Image<Gray, Byte>(CvInvoke.cvGetSize(img2));          
                CvInvoke.cvCopy(img2, img_2, IntPtr.Zero);        
                imageBox2.Image = img_2;
            }
        }
        //相减计算
        private void button3_Click(object sender, EventArgs e)
        {
            Image<Gray, Byte> img_1 = new Image<Gray, Byte>(CvInvoke.cvGetSize(img1));
            Image<Gray, Byte> img_2 = new Image<Gray, Byte>(CvInvoke.cvGetSize(img2));
            Image<Gray, Byte> result = new Image<Gray, Byte>(CvInvoke.cvGetSize(img2));
            CvInvoke.cvCopy(img1, img_1, IntPtr.Zero);
            CvInvoke.cvCopy(img2, img_2, IntPtr.Zero);

            result=img_1.AbsDiff(img_2);
            imageBox3.Image = result;

        }    
    }
}