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C# OpenCvSharp利用白平衡技術(shù)實(shí)現(xiàn)圖像修復(fù)功能

 更新時(shí)間:2024年02月23日 10:04:00   作者:天天代碼碼天天  
這篇文章主要為大家詳細(xì)介紹了C# OpenCvSharp如何利用白平衡技術(shù)實(shí)現(xiàn)圖像修復(fù)功能,文中的示例代碼講解詳細(xì),希望對(duì)大家有一定的幫助

C# OpenCvSharp 利用白平衡技術(shù)進(jìn)行圖像修復(fù)

OpenCV xphoto模塊中提供了三種不同的白平衡算法,分別是:灰度世界(GrayworldWB)算法、完完美反射(SimpleWB)算法和基于學(xué)習(xí)的(LearningBasedWB)白平衡算法

效果

灰度世界(GrayworldWB)-白平衡算法

參考鏈接:https://docs.opencv.org/4.x/d7/d71/classcv_1_1xphoto_1_1GrayworldWB.html#details

完美反射(SimpleWB)-白平衡算法

參考鏈接:https://docs.opencv.org/4.x/d1/d8b/classcv_1_1xphoto_1_1SimpleWB.html#details

基于學(xué)習(xí)的(LearningBasedWB)-白平衡算法

參考鏈接:https://docs.opencv.org/4.x/dc/dcb/tutorial_xphoto_training_white_balance.html

代碼

using OpenCvSharp;
using OpenCvSharp.XPhoto;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Security.Cryptography;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
 
namespace C__OpenCvSharp_利用白平衡技術(shù)進(jìn)行圖像修復(fù)
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }
 
        string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
        string image_path = "";
        Mat image;
        Mat dst = new Mat();
        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = fileFilter;
            if (ofd.ShowDialog() != DialogResult.OK) return;
            pictureBox1.Image = null;
            image_path = ofd.FileName;
            pictureBox1.Image = new Bitmap(image_path);
            image = new Mat(image_path);
            pictureBox2.Image = null;
        }
 
        private void Form1_Load(object sender, EventArgs e)
        {
            image_path = "1.jpg";
            pictureBox1.Image = new Bitmap(image_path);
        }
 
        /// <summary>
        /// 灰度世界(GrayworldWB)-白平衡算法
        /// https://docs.opencv.org/4.x/d7/d71/classcv_1_1xphoto_1_1GrayworldWB.html#details
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button2_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            pictureBox2.Image = null;
 
            image = new Mat(image_path);
            WhiteBalancer wb = CvXPhoto.CreateGrayworldWB();
            wb.BalanceWhite(image, dst);
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }
 
        /// <summary>
        /// 完美反射(SimpleWB)-白平衡算法
        /// https://docs.opencv.org/4.x/d1/d8b/classcv_1_1xphoto_1_1SimpleWB.html#details
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button3_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            pictureBox2.Image = null;
 
            image = new Mat(image_path);
            WhiteBalancer wb = CvXPhoto.CreateSimpleWB();
            wb.BalanceWhite(image, dst);
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }
 
        /// <summary>
        /// 基于學(xué)習(xí)的(LearningBasedWB)-白平衡算法
        /// https://docs.opencv.org/4.x/dc/dcb/tutorial_xphoto_training_white_balance.html
        /// </summary>
        /// <param name="sender"></param>
        /// <param name="e"></param>
        private void button4_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }
            pictureBox2.Image = null;
 
            image = new Mat(image_path);
            string model = "";//模型路徑
            WhiteBalancer wb = CvXPhoto.CreateLearningBasedWB(model);
            wb.BalanceWhite(image, dst);
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
        }
    }
}

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