private void relevantImage_click(object sender, RoutedEventArgs e)
{
var checkBox = sender as CheckBox;
//HistogramBin histogramBinIntensity = new HistogramBin();
//histogramBinIntensity.initializeHistogramIntensityMethod();
System.Windows.Controls.Image checkBoxImage = checkBox.Content as System.Windows.Controls.Image; //Cntrl+alt+q (During debugging)
if (checkBoxImage == null ||
checkBoxImage.Source == null)
{
throw new Exception("bug!!");
}
string imagePath = checkBoxImage.Source.ToString();
Uri currentImagePath = new Uri(imagePath);
//Add queryImage in relevantImageFilePath
if (checkBox.IsChecked == true)
{
RelevantImage relevantImages = new RelevantImage();
relevantImages.imageID = imagePath;
relevantImage.Add(relevantImages);
}
else
{
RelevantImage existingImage = relevantImage.FirstOrDefault(item => new Uri(item.imageID) == currentImagePath);
relevantImage.Remove(existingImage);
}
}
//Retrieve RelevantImageDetails histogram from allImageHistogram RF method
private void retireveRelevantImageHistogram(List <RelevantImage> relevantImages)
{
foreach (RelevantImage selectedImage in relevantImages)
{
selectedImage.ImageFound = false;
}
this.relevantImageHistogram.Clear();
if (relevantImages.Count > 0)
{
foreach (RFMethodImageDetails image in allImageDetails)
{
foreach (RelevantImage relevantImg in relevantImages)
{
if (relevantImg.ImageFound == false)
{
//compare filepath i.e. imageID
if (new Uri(image.imageID) == new Uri(relevantImg.imageID))
{
RelevantImage userChoice = new RelevantImage();
relevantImg.ImageFound = true;
//Stroing the relevant image in an instance of RelevantImage class
userChoice.ImageFound = true;
userChoice.imageID = relevantImg.imageID;
userChoice.GaussianValue = image.GaussianNormalizedWeight;
//List<double> im = image.GaussianNormalizedWeight;
relevantImageHistogram.Add(userChoice);
//exit inner loop and goto next image in outter loop main histogram
break;
}
}
}
}
}
}
//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);
}