C# OpenCvSharp 基于直线检测的文本图像倾斜校正
效果
代码
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 OpenCvSharp;namespace OpenCvSharp_基于直线检测的文本图像倾斜校正
{public partial class Form1 : Form{public Form1(){InitializeComponent();}private void button1_Click(object sender, EventArgs e){string path = "1.jpg";pictureBox1.Image = new Bitmap(path);Mat mat = new Mat(path);Mat gray = new Mat(path, ImreadModes.Grayscale);Mat binary = new Mat();Cv2.Threshold(gray, binary, 50, 255, ThresholdTypes.BinaryInv);Mat element = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(7, 1));Mat dilation = new Mat();Cv2.Dilate(binary, dilation, element);Mat cannyDst = new Mat();Cv2.Canny(dilation, cannyDst, 150, 200);Mat houghDst = new Mat();mat.CopyTo(houghDst);LineSegmentPolar[] lineing = Cv2.HoughLines(cannyDst, 1, Cv2.PI / 180, 110, 0, 0);Scalar color = new Scalar(0, 255, 255);double meanAngle = 0.0;int numCnt = 0;for (int i = 0; i < lineing.Length; i++){double rho = lineing[i].Rho;//线长double theta = lineing[i].Theta;//角度OpenCvSharp.Point pt1 = new OpenCvSharp.Point();OpenCvSharp.Point pt2 = new OpenCvSharp.Point();double a = Math.Cos(theta);double b = Math.Sin(theta);double x0 = a * rho, y0 = b * rho;pt1.X = (int)Math.Round(x0 + 600 * (-b));pt1.Y = (int)Math.Round(y0 + 600 * a);pt2.X = (int)Math.Round(x0 - 600 * (-b));pt2.Y = (int)Math.Round(y0 - 600 * a);Cv2.Line(houghDst, pt1, pt2, color, 1, LineTypes.Link4);theta = theta * 180 / Cv2.PI - 90;meanAngle += theta;numCnt++;}//Cv2.ImShow("houghDst", houghDst);meanAngle /= numCnt;Point2f center = new Point2f(mat.Cols / 2.0f, mat.Rows / 2.0f);Mat warpDst = new Mat();Mat rot_mat = Cv2.GetRotationMatrix2D(center, meanAngle, 1.0);OpenCvSharp.Size dst_sz = new OpenCvSharp.Size(mat.Cols, mat.Rows);Cv2.WarpAffine(mat, warpDst, rot_mat, dst_sz);pictureBox2.Image = new Bitmap(warpDst.ToMemoryStream());}}
}下载
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