C#实现图片人脸检测截取并保存为新图片

/// <summary>/// 实现把抓拍的抓拍截取出人脸保存为新照片/// </summary>/// <param name="image_url"></param>/// <returns></returns>publicList<string>GetScnFace(stringimage_name,stringout_photoName,stringip){List<string>list=newList<string>();try{//string name = "01.jpg";// 输入图片路径//string inputImagePath = @"picture//" + name;// Haar特征分类器路径// string faceCascadePath = @"haarcascade_frontalface_default.xml";// 输出图片路径stringoutputImagePath="camera//"+out_photoName;// 加载原始图像stringimagePath=@"camera//"+image_name;MatoriginalImage=CvInvoke.Imread(imagePath,ImreadModes.Color);// 转换为灰度图像（人脸检测通常需要在灰度图像上进行）MatgrayImage=newMat();CvInvoke.CvtColor(originalImage,grayImage,ColorConversion.Bgr2Gray);// 加载人脸检测器（这里使用Haar级联分类器作为示例）stringfaceCascadePath="haarcascade_frontalface_default.xml";// 确保你有这个文件CascadeClassifierfaceDetector=newCascadeClassifier(faceCascadePath);Sizesize=newSize(50,50);// 检测人脸System.Drawing.Rectangle[]faces=faceDetector.DetectMultiScale(grayImage,1.1,// scaleFactor4,// minNeighborssize);// faces = faceDetector.DetectMultiScale(grayImage, 1.1, 4, new Size(30, 30), new Size(200, 200));//添加处理后的人脸名称// 遍历检测到的人脸foreach(System.Drawing.RectanglefaceRectinfaces){// image_name = DateTime.Now.ToString("yyyyMMddHHmmss") + face_image_index + ".jpg";outputImagePath="camera//"+out_photoName;// 截取人脸区域MatfaceRegion=newMat(originalImage,faceRect);// 保存截取到的人脸区域为新照片// string outputPath = "path_to_save_face_" + DateTime.Now.ToString("yyyyMMdd_HHmmss") + ".jpg";faceRegion.Save(outputImagePath);// 输出保存路径（可选）AddTextToRichTextBox1("Face saved to: "+outputImagePath,Color.Green);list.Add(out_photoName);face_image_index++;break;//if (File.Exists(outputImagePath))//{// string base64 = ConvertImageToBase64(outputImagePath, ImageFormat.Jpeg);// //判断使用的人脸服务器,face_server_type : 1表示人脸机，2表示本地，3表示云端，4表示海康// switch (face_server_type)// {// case 1:// AddTextToRichTextBox1("进入人脸机：" , Color.Green);// MachineFaceVerification(base64, ip);//获取照片实现对比// break;// case 2:// AddTextToRichTextBox1("进入公司接口：", Color.Green);// CompnayFaceVerification(base64,ip);// break;// case 3:// break;// case 4:// break;// default:// break;// }//}//else//{// AddTextToRichTextBox1("抓拍照片不存在" + outputImagePath, Color.Red);//}// success = true;}// 清理资源originalImage.Dispose();grayImage.Dispose();returnlist;}catch(Exceptionex){AddTextToRichTextBox1("有误："+ex.ToString(),Color.Red);returnlist;}returnlist;}