[C#]OpenCvSharp利用MatchTemplate实现多目标匹配

【效果展示】

原图

模板图

匹配结果：

【实现部分代码】

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using OpenCvSharp;namespace FIRC
{public partial class Form1 : Form{public Dictionary<string, TemplateMatchModes> tmm_dict = new Dictionary<string, TemplateMatchModes>();public Mat src = null;//存储原图public Mat template = Cv2.ImRead(Application.StartupPath+"\\images\\template.jpg");public Form1(){InitializeComponent();}private void button1_Click(object sender, EventArgs e){OpenFileDialog ofd = new OpenFileDialog();ofd.Filter = "(图片文件)*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png"; ;if (ofd.ShowDialog() == DialogResult.OK){src= Cv2.ImRead(ofd.FileName);var points = FIRCMatchTemplate.MatchTemplate(src,template,tmm_dict[comboBox1.Text],0.8f);var resultMat = FIRCMatchTemplate.DrawImage(points,src.Clone(),template.Size());pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultMat);}}private void comboBox1_SelectedIndexChanged(object sender, EventArgs e){if(src!=null){var points = FIRCMatchTemplate.MatchTemplate(src, template, tmm_dict[comboBox1.Text], 0.8f);var resultMat = FIRCMatchTemplate.DrawImage(points, src.Clone(), template.Size());pictureBox1.Image = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(resultMat);}}private void Form1_Load(object sender, EventArgs e){tmm_dict.Add("CCoeffNormed",TemplateMatchModes.CCoeffNormed);tmm_dict.Add("CCoeff", TemplateMatchModes.CCoeff);tmm_dict.Add("SqDiffNormed", TemplateMatchModes.SqDiffNormed);tmm_dict.Add("SqDiff", TemplateMatchModes.SqDiff);tmm_dict.Add("CCorrNormed", TemplateMatchModes.CCorrNormed);tmm_dict.Add("CCorr", TemplateMatchModes.CCorr);comboBox1.SelectedIndex = 0;}}
}

【测试环境】

vs2019,netframework4.7.2,opencvsharp4.8.0

【视频演示】

C# opencvsharp多目标模板匹配算法演示代码_哔哩哔哩_bilibili测试环境：vs2019,netframework4.7.2,opencvsharp4.8.0, 视频播放量 2、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人数 0、转发人数 0, 视频作者未来自主研究中心, 作者简介未来自主研究中心，相关视频：资源软件库学习资料总站大全合集更新，资源软件库学习资料无敌了，C# opencvsharp实现透视变换演示，使用C++部署yolov8的onnx和bytetrack实现目标追踪，基于yolov5的单目测距视频演示，labelme json转yolo工具用于目标检测训练数据集使用教程，基于yolov8+deepsort实现目标追踪视频演示，一个软件库永久更新学习资料资源共享，[数据集介绍][目标检测]城市街道垃圾数据集VOC格式5266张，基于yolov8+deepsort+SLPNet实现车辆检测车辆识别车辆违停指定区域检测一体化系统https://www.bilibili.com/video/BV1Mt421n7fx/