public Dictionary <int, int> Compare(ImageDescriptors referenceImage, ImageDescriptors targetImage, double threshold)
{
Dictionary <int, int> result = new Dictionary <int, int>();
for (int i = 0; i < targetImage.Count; i++)
{
IndexValue <double>[] temp = new IndexValue <double> [referenceImage.Count];
for (int j = 0; j < referenceImage.Count; j++)
{
temp[j] = new IndexValue <double>(j, Descriptor.CalculateAngle(referenceImage[j], targetImage[i]));
}
SortAlgorithm.Heapsort <IndexValue <double> >(ref temp, SortDirection.Descending);
if (temp[0].Value.Equals(double.NaN))
{
throw new NotImplementedException();
}
if (temp[0].Value / temp[1].Value < threshold)
{
result.Add(i, temp[0].Index);
}
}
return(result);
}
public int FindMatch(ImageDescriptors image, double threshold)
{
List <IndexValue <double> > values = CalculateSimilariry(image, threshold);
SortAlgorithm.Heapsort <IndexValue <double> >(ref values, SortDirection.Ascending);
return(values[0].Index);
}
public static ImageDescriptors Deserialize(string path)
{
System.Xml.Serialization.XmlSerializer serializer = new XmlSerializer(typeof(ImageDescriptors));
System.Xml.XmlTextReader reader = new System.Xml.XmlTextReader(path);
ImageDescriptors result = (ImageDescriptors)serializer.Deserialize(reader);
reader.Close();
return(result);
}
//Lowe use threshold = 0.8
public List <IndexValue <double> > CalculateSimilariry(ImageDescriptors image, double threshold)
{
List <IndexValue <double> > values = new List <IndexValue <double> >();
for (int i = 0; i < database.Count; i++)
{
Dictionary <int, int> temp = Compare(this.database[i], image, threshold);
values.Add(new IndexValue <double>(i, temp.Count));
}
return(values);
}
