public List <ResultCBIR> computeMinkowskiDistance()
{
//Clear result list before adding value
this.DistancebetweenImage.Clear();
List <double> selectedImage = new List <double>();
foreach (RFMethodImageDetails eachImage in allImageDetails)
{
string image = eachImage.imageID;
//if(image==queryImage)
if (new Uri(image) == new Uri(queryImage))
{
//compute distance between two images ,
selectedImage = eachImage.GaussianNormalizedWeight;
break;
}
}
foreach (RFMethodImageDetails histogramImage in allImageDetails)
{
ResultCBIR dis = new ResultCBIR();
int binNumber = 0;
double totalDistance = 0.0;
while (binNumber < 89)
{
double queryImage = selectedImage.ElementAt(binNumber);
double databaseImage = histogramImage.GaussianNormalizedWeight.ElementAt(binNumber);
RFMethodFeatureDetails featureSet = allFeature.ElementAt(binNumber);
double weight = featureSet.normalizedWeight;
double distance = weight * (Math.Abs(queryImage - databaseImage));
totalDistance = distance + totalDistance;
binNumber++;
}
dis.imageid = histogramImage.imageID;
dis.totaldistance = totalDistance;
DistancebetweenImage.Add(dis);
}
//Orderby
DistancebetweenImage = DistancebetweenImage.OrderBy(i => i.totaldistance).ToList();
return(DistancebetweenImage);
}
public List <ResultCBIR> computeManhattanDistance(string selecteImageFilePath, List <HistogramBin> histogramBinInensity, string method)
{
//Retirieve selected image histogram value
Dictionary <int, int> selectedImageHistogram = new Dictionary <int, int>();
List <double> selectedImage = new List <double>();
int totalPixelSelectedImage = 0;
foreach (HistogramBin image in histogramBinInensity)
{
string imageid = image.getImageId();
if (selecteImageFilePath == null)
{
return(null);
}
if (new Uri(imageid) == new Uri(selecteImageFilePath))
{
totalPixelSelectedImage = image.getNumberOfPixelImage();
//selected_image histogram
if (method == "intensity")
{
selectedImageHistogram.Clear();
selectedImageHistogram = image.getValueHistogram();
}
else
{
selectedImageHistogram.Clear();
selectedImageHistogram = image.getValueColorCodeHistogram();
}
foreach (KeyValuePair <int, int> pair in selectedImageHistogram)
{
selectedImage.Add(pair.Value);
}
break;
}
}
foreach (HistogramBin images in histogramBinInensity)
{
int i = 0;
double totalDistance = 0;
ResultCBIR dis = new ResultCBIR();
Dictionary <int, int> image = new Dictionary <int, int>();
int condition = 0;
if (method == "intensity")
{
image.Clear();
image = images.getValueHistogram();
condition = 25;
}
else
{
image.Clear();
image = images.getValueColorCodeHistogram();
condition = 64;
}
int totalPixel = images.getNumberOfPixelImage();
string imageID = images.getImageId();
dis.imageid = imageID;
while (i < condition)
{
//look for key in dictionary and store the value
double numberOfPixelInBin = image[i];
double argument1 = numberOfPixelInBin / totalPixel;
double numberOfPixelInSelectedImageBin = selectedImage.ElementAt(i);
double argument2 = numberOfPixelInSelectedImageBin / totalPixelSelectedImage;
double distance = Math.Abs(argument2 - argument1);
totalDistance = totalDistance + distance;
i++;
}
dis.totaldistance = totalDistance;
DistancebetweenImage.Add(dis);
}
//Orderby
DistancebetweenImage = DistancebetweenImage.OrderBy(i => i.totaldistance).ToList();
return(DistancebetweenImage);
}
