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);
}
}
//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);
}