Template Matching
Template Matching은 더 큰 이미지에서 찾고자 하는 이미지를 찾는 기능이다.
OpenCV에서 없어서는 안될 기능이며, 자세한 사항은 아래 OpenCV URL에서 확인할 수 있다.
https://docs.opencv.org/4.x/d4/dc6/tutorial_py_template_matching.html
배경 이미지
ppt에다가 한글을 써놓고, 찾고자하는 이미지를 잘라 낸 후, Template Matching으로 잘 찾아내는지
확인한다.
우선 찾고자 하는 이미지를 마우스 드래그로 잘라낸다.
그리고 Find를 누르면 아래 이미지와 같이 Template matching을 이용하여 이미지를 찾아낸다.
Code
using OpenCvSharp;
using OpenCvSharp.Extensions;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
using System.Windows.Forms;
using Point = OpenCvSharp.Point;
namespace TemplateMatching
{
public partial class Form1 : Form
{
private OpenCvSharp.Point ClickPoint = new OpenCvSharp.Point();
private OpenCvSharp.Point CurrentTopLeft = new OpenCvSharp.Point();
private OpenCvSharp.Point CurrentBottomRight = new OpenCvSharp.Point();
private Pen MyPen;
private Graphics g;
Mat _orgMat = new Mat();
Mat _roiMat = new Mat();
public Form1()
{
InitializeComponent();
g = this.pictureBox1.CreateGraphics();
MyPen = new Pen(Color.Red, 2);
MyPen.DashStyle = System.Drawing.Drawing2D.DashStyle.Solid;
}
private void Form1_Load(object sender, EventArgs e)
{
Bitmap convert = new Bitmap(Properties.Resources.test1);
pictureBox1.Image = Properties.Resources.test1;
_orgMat = BitmapConverter.ToMat(convert);
}
bool _isDraw = false;
private void pictureBox1_MouseDown(object sender, MouseEventArgs e)
{
if (e.Button == MouseButtons.Left)
{
_isDraw = true;
ClickPoint = new Point(e.X, e.Y);
pictureBox1.Refresh();
}
}
private void pictureBox1_MouseMove(object sender, MouseEventArgs e)
{
if (_isDraw)
{
if(e.X < ClickPoint.X)
{
CurrentTopLeft.X = e.X;
CurrentBottomRight.X = ClickPoint.X;
}
else
{
CurrentTopLeft.X = ClickPoint.X;
CurrentBottomRight.X = e.X;
}
if (e.Y < ClickPoint.Y)
{
CurrentTopLeft.Y = e.Y;
CurrentBottomRight.Y = ClickPoint.Y;
}
else
{
CurrentTopLeft.Y = ClickPoint.Y;
CurrentBottomRight.Y = e.Y;
}
pictureBox1.Refresh();
g.DrawRectangle(MyPen, CurrentTopLeft.X, CurrentTopLeft.Y, CurrentBottomRight.X - CurrentTopLeft.X,
CurrentBottomRight.Y - CurrentTopLeft.Y);
}
}
private void pictureBox1_MouseUp(object sender, MouseEventArgs e)
{
_isDraw = false;
SetNewRoiTemplate();
}
private void btn_StartFind_Click(object sender, EventArgs e)
{
using (Mat resultMat = new Mat())
{
Cv2.MatchTemplate(_orgMat, _roiMat, resultMat, TemplateMatchModes.CCoeffNormed);
Cv2.Threshold(resultMat, resultMat, 0.6, 1.0, ThresholdTypes.Tozero);
OpenCvSharp.Point minloc, maxloc;
double minval, maxval;
Cv2.MinMaxLoc(resultMat, out minval, out maxval, out minloc, out maxloc);
Rect rect = new Rect(maxloc.X, maxloc.Y, _roiMat.Width, _roiMat.Height);
Cv2.Rectangle(_orgMat, rect, new OpenCvSharp.Scalar(0, 0, 255), 2);
pictureBox1.Image = BitmapConverter.ToBitmap(_orgMat);
lbl_Result.Text = $"{maxval * 100:F2}%";
pictureBox1.Refresh();
}
}
private void SetNewRoiTemplate()
{
Rect rect = new Rect(CurrentTopLeft.X, CurrentTopLeft.Y, CurrentBottomRight.X - CurrentTopLeft.X, CurrentBottomRight.Y - CurrentTopLeft.Y);
_roiMat = _orgMat.SubMat(rect);
pictureBox1.Image = Properties.Resources.test1;
}
}
}
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