Example #1
0
        public static Result[] SearchSegmFree(NewImage QueryImage, ConcurrentDictionary <string, DocumentInfo> Dataset)
        {
            var myDSLPLibrary = new DoLF();
            var myDSLPpoints  = myDSLPLibrary.GetDSLPoints(QueryImage.Data, QueryImage.Width, QueryImage.Height, 3);
            var queryVector   = myDSLPLibrary.CreateNormalizedDescriptorForSegmFree(myDSLPpoints);
            var results       = new ConcurrentBag <Result>();

            //Parallel.ForEach(Dataset.Keys, doc =>
            foreach (var doc in Dataset.Keys)
            {
                var _results = myDSLPLibrary.DistanceSegmFree(queryVector, QueryImage.Width, QueryImage.Height, Dataset[doc].Descriptors);
                foreach (var r in _results)
                {
                    results.Add(new Result
                    {
                        X          = (short)r.Block[0],
                        Y          = (short)r.Block[1],
                        Width      = (short)r.Block[2],
                        Height     = (short)r.Block[3],
                        Similarity = r.Similarity,
                        Document   = doc
                    });
                }
            }
            return(results.OrderBy(x => x.Similarity).ToArray());
        }
Example #2
0
        public static float[] GetDescriptor(string ImageBase64)
        {
            using var memoryStream = new MemoryStream(Convert.FromBase64String(ImageBase64))
                  {
                      Position = 0
                  };
            Bitmap bmpImage      = (Bitmap)Image.FromStream(memoryStream);
            var    img           = new NewImage(bmpImage);
            var    myDSLPLibrary = new DoLF();
            var    myDSLPpoints  = myDSLPLibrary.GetDSLPoints(img.Data, img.Width, img.Height, 3);

            return(myDSLPLibrary.CreateNormalizedDescriptorForSegmFree(myDSLPpoints));
        }
Example #3
0
        public static ConcurrentDictionary <string, DocumentInfo> IndexingSegmBased(string[] Documents, ProgressBar myProgressBar)
        {
            var Dataset = new ConcurrentDictionary <string, DocumentInfo>();

            Parallel.ForEach(Documents, doc =>
            {
                var img           = new NewImage(doc);
                var myDSLPLibrary = new DoLF();
                var myDSLPpoints  = myDSLPLibrary.GetDSLPoints(img.Data, img.Width, img.Height, 3);
                var myDocInfo     = new DocumentInfo
                {
                    Descriptors = myDSLPLibrary.CreateNormalizedDescriptorForSegmBased(myDSLPpoints, img.Width, img.Height),
                    Width       = img.Width,
                    Height      = img.Height
                };
                Dataset.TryAdd(Path.GetFileNameWithoutExtension(doc), myDocInfo);
                myProgressBar.Increase(100d / Documents.Length);
            });
            return(Dataset);
        }
Example #4
0
        public static Result[] SearchSegmBased(NewImage QueryImage, ConcurrentDictionary <string, DocumentInfo> Dataset)
        {
            var myDSLPLibrary = new DoLF();
            var myDSLPpoints  = myDSLPLibrary.GetDSLPoints(QueryImage.Data, QueryImage.Width, QueryImage.Height, 3);
            var queryVector   = myDSLPLibrary.CreateNormalizedDescriptorForSegmBased(myDSLPpoints, QueryImage.Width, QueryImage.Height);
            var results       = new ConcurrentBag <Result>();

            Parallel.ForEach(Dataset.Keys, doc =>
            {
                var r = myDSLPLibrary.DistanceSegmBased(queryVector, Dataset[doc].Descriptors);
                results.Add(new Result
                {
                    X          = 0,
                    Y          = 0,
                    Width      = Dataset[doc].Width,
                    Height     = Dataset[doc].Height,
                    Similarity = r,
                    Document   = doc
                });
            });
            return(results.OrderBy(x => x.Similarity).ToArray());
        }