Accord.NET比较两张图片以确定相似度

Question

我想咨询一下为什么代码可能会变得无法响应以及如何解决它。

我使用Accord.NET比较图像。我的项目的第一阶段是比较两幅图像，即观察图像和模型图像，并确定它们的相似程度;第二，是将观察到的图像与我的整个数据库进行比较，以确定观察图像最可能基于模型分类的方式。现在我专注于第一个。我最初尝试使用ExhaustiveTemplateMatching.ProcessImage（），但它不符合我的需要。现在，我正在使用SURF。这里是我的代码是：

public class ProcessImage 
{ 
    public static void Similarity(System.IO.Stream model, System.IO.Stream observed, 
     out float similPercent) 
    { 
     Bitmap bitModel = new Bitmap(model); 
     Bitmap bitObserved = new Bitmap(observed); 

     // For method Difference, see http://www.aforgenet.com/framework/docs/html/673023f7-799a-2ef6-7933-31ef09974dde.htm 

     // Inspiration for this process: https://www.youtube.com/watch?v=YHT46f2244E 
     // Greyscale class http://www.aforgenet.com/framework/docs/html/d7196dc6-8176-4344-a505-e7ade35c1741.htm 
     // Convert model and observed to greyscale 
     Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721); 
     // apply the filter to the model 
     Bitmap greyModel = filter.Apply(bitModel); 
     // Apply the filter to the observed image 
     Bitmap greyObserved = filter.Apply(bitObserved); 
     int modelPoints = 0, matchingPoints = 0; 

     /* 
     * This doesn't work. Images can have different sizes 
     // For an example, https://thecsharper.com/?p=94 
     // Match 
     var tm = new ExhaustiveTemplateMatching(similarityThreshold); 
     // Process the images 
     var results = tm.ProcessImage(greyModel, greyObserved); 
     */ 

     using (SpeededUpRobustFeaturesDetector detector = new SpeededUpRobustFeaturesDetector()) 
     { 
      List<SpeededUpRobustFeaturePoint> surfModel = detector.ProcessImage(greyModel); 
      modelPoints = surfModel.Count(); 
      List<SpeededUpRobustFeaturePoint> surfObserved = detector.ProcessImage(greyObserved); 

      KNearestNeighborMatching matcher = new KNearestNeighborMatching(5); 
      var results = matcher.Match(surfModel, surfObserved); 
      matchingPoints = results.Length; 
     } 
     // Determine if they represent the same points 
     // Obtain the pairs of associated points, we determine the homography matching all these pairs 


     // Compare the results, 0 indicates no match so return false 
     if (matchingPoints <= 0) 
     { 
      similPercent = 0.0f; 
     } 

     similPercent = (matchingPoints * 100)/modelPoints; 
    } 
} 

到目前为止，我得到获取积分的名单，但随后匹配的代码时似乎变得反应迟钝。

我在用户发布位图后，从ASP.NET网页调用上面的代码。这是，如果它可以帮助代码：

public ActionResult Compare(int id) 
    { 
     ViewData["SampleID"] = id; 

     return View(); 
    } 

    [HttpPost] 
    public ActionResult Compare(int id, HttpPostedFileBase uploadFile) 
    { 
     Sample model = _db.Sample_Read(id); 
     System.IO.Stream modelStream = null; 
     float result = 0; 

     _db.Sample_Stream(model.FileId, out modelStream); 

     ImgProc.ProcessImage.Similarity(modelStream, uploadFile.InputStream, 
       out result); 

     ViewData["SampleID"] = id; 
     ViewData["match"] = result; 

     return View(); 
    } 

页面本身是相当简单的，一个隐藏字段，一个文件类型输入和提交。

Answer 1

问题是我的电脑。经过一段时间处理后，计算结束。

谢谢，