private void OtsuBinarize_Click(object sender, RoutedEventArgs e)
{
PutToGreyScaleComboBox(ColorComoBox.SelectedIndex);
int[] histogram = Histogram.calculateHistograms(currentImage.bitmap)[ColorComoBox.SelectedIndex];
Binarization.otsuBinarization(currentImage.bitmap, histogram);
imgPhoto.Source = ImageSourceForBitmap(currentImage.bitmap);
}
private void ManualyBinarize_Click(object sender, RoutedEventArgs e)
{
int manualValue = Int32.Parse(manualBinarizationValueBox.Text);
PutToGreyScaleComboBox(ColorComoBox.SelectedIndex);
Binarization.manualBinarization(currentImage.bitmap, manualValue);
imgPhoto.Source = ImageSourceForBitmap(currentImage.bitmap);
}
public static void otsuBinarization(Bitmap bitmap, int[] histogram)
{
int maxVariance = 0, tmpMaxVariance, threshold = 0;
double[] cumulativeDistribution = CumulativeDistribution(histogram);
double foregroundPixels, backgroundPixels;
int averageBackground, averageForeground;
for (int i = 0; i < 256; i++)
{
foregroundPixels = GetCountPixels(cumulativeDistribution, i + 1, histogram.Length);
backgroundPixels = GetCountPixels(cumulativeDistribution, 0, i);
averageBackground = getAveragePixels(cumulativeDistribution, 0, i, backgroundPixels);
averageForeground = getAveragePixels(cumulativeDistribution, i + 1, histogram.Length, foregroundPixels);
tmpMaxVariance = (int)(foregroundPixels * backgroundPixels * Math.Pow(averageForeground - averageBackground, 2));
if (maxVariance < tmpMaxVariance)
{
maxVariance = tmpMaxVariance;
threshold = i;
}
}
Binarization.manualBinarization(bitmap, threshold);
}
private void BernsenBinarize_Click(object sender, RoutedEventArgs e)
{
PutToGreyScaleComboBox(ColorComoBox.SelectedIndex);
Binarization.BernsenBinarization(currentImage.bitmap, Int32.Parse(ContrastValueBox.Text), Int32.Parse(ThresholdValueBox.Text));
imgPhoto.Source = ImageSourceForBitmap(currentImage.bitmap);
}
