我正在使用Accord.NET来比较图像.我的项目的第一阶段是比较两个图像,一个观察图像和一个模型图像,并确定它们有多相似;第二种方法是将观察到的图像与我的整个数据库进行比较,以根据模型的分类方式确定观察到的图像最有可能是什么.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.这是我的代码：

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,我得到了点列表,但是当匹配代码时似乎没有响应.

我在用户发布位图后从ASP.NET网页调用上面的代码.这是代码,如果它可能有所帮助：

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();
    }

页面本身相当简单,隐藏字段,文件类型输入和提交.