Question

我希望您的建议是为什么代码可能会变得无法响应以及如何修复它。

我使用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，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（）但它并不适合我的需要。现在，我正在使用SURF。这是我的代码：

+-------------+----------------+-----------------+-------------+------------+
| Board_Name  |     Method     |     Source      | TicketCount | Percentage |
+-------------+----------------+-----------------+-------------+------------+
| IT Services | NULL           | NULL            |          73 | 0.700000   |
| IT Services | Call           | CallByReception |        4303 | 43.300000  |
| IT Services | Call           | CallBySupport   |        2626 | 37.900000  |
| IT Services | Chat           | Chat            |           8 | 0.100000   |
| IT Services | EmailConnector | EmailConnector  |        2047 | 20.600000  |
| IT Services | Internal       | Internal        |          51 | 0.500000   |
| IT Services | Portal         | Portal          |         829 | 8.300000   |
+-------------+----------------+-----------------+-------------+------------+

到目前为止，我可以获得积分列表，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。以下是代码，如果有帮助的话：

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;
    }
}

页面本身相当简单，隐藏字段，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，

Answer 2

要让KNearestNeighborMatching做出决定，必须放置
Accord.Imaging和Accord.Vision。

Accord.NET比较两个图像以确定相似性

2 个答案: