C# OpenCvSharp利用白平衡技术实现图像修复功能
作者:天天代码码天天
这篇文章主要为大家详细介绍了C# OpenCvSharp如何利用白平衡技术实现图像修复功能,文中的示例代码讲解详细,希望对大家有一定的帮助
C# OpenCvSharp 利用白平衡技术进行图像修复
OpenCV xphoto模块中提供了三种不同的白平衡算法,分别是:灰度世界(GrayworldWB)算法、完完美反射(SimpleWB)算法和基于学习的(LearningBasedWB)白平衡算法
效果
灰度世界(GrayworldWB)-白平衡算法
参考链接: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
参考链接:https://docs.opencv.org/4.x/d1/d8b/classcv_1_1xphoto_1_1SimpleWB.html#details
基于学习的(LearningBasedWB)-白平衡算法
参考链接:https://docs.opencv.org/4.x/dc/dcb/tutorial_xphoto_training_white_balance.html
代码
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_利用白平衡技术进行图像修复 { 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> /// 基于学习的(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 = "";//模型路径 WhiteBalancer wb = CvXPhoto.CreateLearningBasedWB(model); wb.BalanceWhite(image, dst); pictureBox2.Image = new Bitmap(dst.ToMemoryStream()); } } }
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