目录
效果
处理步骤
中间过程效果
项目
代码
下载
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());
}
}
}下载
Demo下载