新建桌面程序
安装opencvsharp
拖拽设计页面
选择图片识别代码
using OpenCvSharp;
using System.Text;namespace QRcodeIdentity
{public partial class Form1 : Form{public Form1(){InitializeComponent();}/// <summary>/// 选择图片/// </summary>/// <param name="sender"></param>/// <param name="e"></param>private void selectBtn_Click(object sender, EventArgs e){OpenFileDialog openFileDialog = new OpenFileDialog();// 设置文件对话框的标题 openFileDialog.Title = "选择图片";// 设置文件类型过滤器 // 注意这里"PNG 图片 (*.png)|*.png|JPG 图片 (*.jpg)|*.jpg"的写法 // "|"用于分隔不同的过滤器，每个过滤器由“描述|文件扩展名”组成 openFileDialog.Filter = "PNG 图片 (*.png)|*.png|JPG 图片 (*.jpg)|*.jpg";// 设置默认文件类型过滤器为第一个（PNG 图片） openFileDialog.FilterIndex = 1;// 显示文件对话框 if (openFileDialog.ShowDialog() == DialogResult.OK){this.imgPathTxt.Text = openFileDialog.FileName;}}/// <summary>/// 识别图片中的二维码位置和内容/// </summary>/// <param name="sender"></param>/// <param name="e"></param>private void runBtn_Click(object sender, EventArgs e){if (string.IsNullOrEmpty(this.imgPathTxt.Text)){MessageBox.Show("请选择图片");return;}var src = Cv2.ImRead(this.imgPathTxt.Text);//图像灰度Mat gray = new Mat();Cv2.CvtColor(src, gray, ColorConversionCodes.BGRA2GRAY);//Cv2.ImShow("gray", gray);//二值化Mat threshold = new Mat();//Cv2.AdaptiveThreshold(gray, threshold, 255.0, AdaptiveThresholdTypes.MeanC, ThresholdTypes.Binary, 13, 2);Cv2.Threshold(gray, threshold, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);//Cv2.ImShow("threshold", threshold);//绘制轮廓//截取二维码有效区域//识别二维码QRCodeDetector qRCodeDetector = new QRCodeDetector();Point2f[] point2Fs;//Cv2.ImShow("gray", gray);Mat mat = new Mat();/*img 为输入图像，灰度或者彩色图像；points 是二维码ROI最小外接矩形顶点坐标；straightQrcode 输出的是二维码区域ROI图像信息 返回的二维码utf-8字符串返回值是已识别的二维码内容*/string code = qRCodeDetector.DetectAndDecode(src, out point2Fs, mat);Cv2.Rectangle(src, new OpenCvSharp.Point((int)point2Fs[3].X, (int)point2Fs[1].Y), new OpenCvSharp.Point((int)point2Fs[2].X, (int)point2Fs[2].Y), new Scalar(0, 255, 255), 2);//Cv2.ImShow("src", src);// 使用Cv2.ImWrite方法保存Mat对象为图片文件 var filePath = $"{DateTime.Now.ToString("yyyy_MM_dd_HH_mm_ss")}.jpg";bool result = Cv2.ImWrite(filePath, src);StringBuilder str = new StringBuilder();str.AppendLine("识别成功\r\n");str.Append($"二维码内容为:{code}\r\n");var xLeft = (int)point2Fs[3].X;var yTop = (int)point2Fs[1].Y;var width = (int)point2Fs[2].X - (int)point2Fs[3].X;str.Append($"距离顶部{yTop},距离左侧{xLeft}，宽度:{width}");this.resultTxt.Text = str.ToString();}}
}
实际测试不带边框的二维码识别不太行
参考
https://blog.csdn.net/qq_37835727/article/details/127809933
https://blog.csdn.net/weixin_63357306/article/details/132830563
https://blog.51cto.com/u_16099252/10915538
https://cloud.tencent.com/developer/article/2420183
https://blog.csdn.net/weixin_45883443?type=blog
https://github.com/micjahn/ZXing.Net
Detector.cs源代码