private void RFRelevantImage_click(object sender, RoutedEventArgs e)
{
setPageIndex(0);
rfMethodResultFiles.Clear();
if (relevantImage.Count == 0)
{
MessageBox.Show("Please select few relevant images before we proceed");
return;
}
else
{
RfMethod Rf = new RfMethod();
Rf.setMethodName("RF");
Rf.setQueryImage(selecteImageFilePath);
List <ResultCBIR> sortedDistance = Rf.computeNewFeatureMatrix(relevantImage, colorCodeIntensityGaussianValue);
foreach (ResultCBIR fieldid in sortedDistance)
{
rfMethodResultFiles.Add(fieldid.imageid);
}
renderImage(rfMethodResultFiles);
}
}
//Compute the pixel value and add it in histogram bin
private void computePixelValue(List <string> files)
{
foreach (string filepath in files)
{
HistogramBin histogramBinIntensity = new HistogramBin();
histogramBinIntensity.initializeHistogramIntensityMethod();
histogramBinIntensity.initializehistogramColorCodeMethod();
histogramBinIntensity.setImageId(filepath);
Bitmap b = new Bitmap(filepath, true);
int width = b.Width;
int height = b.Height;
int totalPixel = height * width;
histogramBinIntensity.setNumberOfPixelImage(totalPixel);
for (int i = 0; i < width; i++)
{
for (int j = 0; j < height; j++)
{
Color pixel = b.GetPixel(i, j);
byte red = pixel.R;
byte green = pixel.G;
byte blue = pixel.B;
//Colorcode method
int colorCode = (blue & (192)) >> 6 | (green & (192)) >> 4 | (red & (192)) >> 2;
histogramBinIntensity.addElementHistogramColorCodeMethod(colorCode);
//Intensity method
double I = 0.299 * red + 0.587 * green + 0.114 * blue;
histogramBinIntensity.addIntensityToBin(I);
}
}
allimageDetailIntensityMethod.Add(histogramBinIntensity);
}
//call rf method and initialize histogram for RF method
RfMethod callRfMethod = new RfMethod();
rfMethodHistogram = callRfMethod.createHistogramRfMethod(allimageDetailIntensityMethod);
}
//RF method click
private void RFMethod_click(object sender, RoutedEventArgs e)
{
setPageIndex(0);
this.RelevantImage.IsEnabled = true;
//Compute the rf method standard deviation, average value and minchowsky distance and return the result
//call compute RF method
rfMethodResultFiles.Clear();
relevantImage.Clear();
if (selecteImageFilePath == null)
{
MessageBox.Show("Please select one Image before we proceed");
return;
}
RelevantImage queryImage = new RelevantImage();
queryImage.imageID = selecteImageFilePath;
relevantImage.Add(queryImage);
RfMethod computeDistanceRfMethod = new RfMethod();
computeDistanceRfMethod.setQueryImage(selecteImageFilePath);
computeDistanceRfMethod.setMethodName("colorCodeIntensity");
computeDistanceRfMethod.setallImageHistogramRfMethod(rfMethodHistogram);
List <ResultCBIR> sortedDistance = computeDistanceRfMethod.computeResultRFMethod(0);//rfMethodIterationCount
colorCodeIntensityGaussianValue = computeDistanceRfMethod.getGaussianValueImageDetails();
//computeDistanceRfMethod.createFeatureMatrix();
rfMethodIterationCount++;
////Add sorted imageid in a list
foreach (ResultCBIR fieldid in sortedDistance)
{
rfMethodResultFiles.Add(fieldid.imageid);
}
renderImage(rfMethodResultFiles);
}
//Call RF method and pass histogram
public void createRFMethodDetails()
{
RfMethod rfMethodCall = new RfMethod();
rfMethodCall.createHistogramRfMethod(allimageDetailIntensityMethod);
}