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C# OpenCvSharp实现去除文字中的线条

作者:天天代码码天天

这篇文章主要为大家详细介绍了C#如何使用OpenCvSharp实现去除文字中的线条效果,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下

效果

处理步骤

1、Cv2.Resize图片放大

2、Cv2.CvtColor转灰度图

3、Cv2.Threshold二值化

4、Cv2.HoughLinesP找直线

5、利用找出的直线制作一个mask图

6、Cv2.Inpaint+制作的mask图进行图像修补

7、逐像素处理文字边缘的颜色

8、Cv2.BitwiseNot黑白反色

中间过程效果

项目

VS2022

.net framework 4.8

OpenCvSharp 4.8

Microsoft.ML.OnnxRuntime 1.16.2

代码

/// <summary>
/// Restores the selected region in an image using the region neighborhood.
/// </summary>
/// <param name="src">Input 8-bit, 16-bit unsigned or 32-bit float 1-channel or 8-bit 3-channel image.</param>
/// <param name="inpaintMask">Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that needs to be inpainted.</param>
/// <param name="dst">Output image with the same size and type as src.</param>
/// <param name="inpaintRadius">Radius of a circular neighborhood of each point inpainted that is considered by the algorithm.</param>
/// <param name="flags">Inpainting method that could be cv::INPAINT_NS or cv::INPAINT_TELEA</param>
public static void Inpaint(InputArray src, InputArray inpaintMask,OutputArray dst, double inpaintRadius, InpaintMethod flags)
using OpenCvSharp;
using System;
using System.Drawing;
using System.Windows.Forms;
using static System.Net.Mime.MediaTypeNames;
 
namespace OpenCvSharp_Demo
{
    public partial class frmMain : Form
    {
        public frmMain()
        {
            InitializeComponent();
        }
 
        string image_path = "";
 
        private void Form1_Load(object sender, EventArgs e)
        {
            image_path = "1.png";
            pictureBox1.Image = new Bitmap(image_path);
        }
 
        private void button2_Click(object sender, EventArgs e)
        {
 
            Mat image = new Mat(image_path);
            Cv2.Resize(image, image, new OpenCvSharp.Size(), 5, 5, InterpolationFlags.Cubic);
            Cv2.ImShow("image", image);
 
            Mat gray = new Mat();
            Cv2.CvtColor(image, gray, ColorConversionCodes.BGR2GRAY);
            Cv2.ImShow("gray", gray);
 
            Mat binary = new Mat();
            Cv2.Threshold(gray, binary, 70, 255, ThresholdTypes.BinaryInv);
            Cv2.ImShow("binary", binary);
 
            LineSegmentPoint[] res = Cv2.HoughLinesP(binary,
                rho: 1,
                theta: Math.PI / 180.0,
            threshold: 100,
                minLineLength: image.Cols - 50,
                maxLineGap: 50);
 
            //Console.WriteLine("res.Length:" + res.Length);
 
            Mat mask = Mat.Zeros(image.Rows, image.Cols, MatType.CV_8UC1);
            for (int i = 0; i < res.Length; i++)
            {
                Scalar color = Scalar.RandomColor();
                Cv2.Line(mask, res[i].P1, res[i].P2,
                    color: Scalar.White,
                    thickness: 11,
                    lineType: LineTypes.Link8);
            }
            Cv2.ImShow("mask", mask);
 
            Mat dst = new Mat();
            Cv2.Inpaint(binary, mask, dst, 5, InpaintMethod.Telea);
            Cv2.ImShow("Inpaint", dst);
 
            for (int r = 0; r < dst.Rows; r++)
            {
                for (int c = 0; c < dst.Cols; c++)
                {
                    byte p = dst.At<byte>(r, c);
                    if (p > 50)
                    {
                        dst.Set<byte>(r, c, 255);
                    }
                    else
                    {
                        dst.Set<byte>(r, c, 0);
                    }
                }
            }
 
            Cv2.ImShow("black background", dst);
            //黑白反色
            Cv2.BitwiseNot(dst, dst);
 
            Cv2.ImShow("dst", dst);
            Cv2.ImWrite("dst.jpg", dst);
 
            pictureBox2.Image = new Bitmap(dst.ToMemoryStream());
 
        }
 
    }
}

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