public MainWindow()
{
InitializeComponent();
ImageModificationsList = new List <ImageSource>();
_originalImgBitmap = new BitmapImage(new Uri(@"pack://application:,,,/"
+ Assembly.GetExecutingAssembly().GetName().Name
+ ";component/"
+ "InitialImage/finger.png", UriKind.Absolute));
var width = _originalImgBitmap.PixelWidth.ToString();
var height = _originalImgBitmap.PixelHeight.ToString();
ResolutionStatusBar.Text = width + " x " + height;
ModifiedImgSingleton = ModifiedImage;
ResolutionX.Text = width;
ResolutionY.Text = height;
SaveImage.X = int.Parse(ResolutionX.Text);
SaveImage.Y = int.Parse(ResolutionY.Text);
_originalMatrix = (MatrixTransform)OriginalImage.RenderTransform;
_modifiedMatrix = (MatrixTransform)ModifiedImage.RenderTransform;
originalBitmapSource = (BitmapSource)OriginalImage.Source;
//calculate initial histogram values
HistogramTools.CalculateHistograms();
}
private void PreviewImageUpdate()
{
try
{
//get lut for stretching - preview image
var lut = HistogramTools.GetLutStretching(int.Parse(TextBoxMin.Text), int.Parse(TextBoxMax.Text));
//set new image after histogram stretching
PreviewImage.Source = HistogramTools.StretchHistogram(lut, _option);
//recalculate histogram after stretching
CalculateHistograms();
//update polygon graphs for visual representation of histograms
switch (_option)
{
case 0:
HistogramRed.Points = HistogramWindow.ConvertToPointCollection(HistogramR);
break;
case 1:
HistogramRed.Points = HistogramWindow.ConvertToPointCollection(HistogramG);
break;
case 2:
HistogramRed.Points = HistogramWindow.ConvertToPointCollection(HistogramB);
break;
case 3:
HistogramRed.Points = HistogramWindow.ConvertToPointCollection(HistogramU);
break;
}
}
catch (Exception e)
{
Debug.WriteLine(e.StackTrace);
}
}
private async void FilterItem_Median5(object sender, RoutedEventArgs e)
{
ProgressBarKuhara.Value = 0;
ProgressBarKuhara.Visibility = Visibility.Visible;
var progress = new Progress <int>(value => { ProgressBarKuhara.Value = value; });
ModifiedImgSingleton.Source = await Mask.PerformMask_Median(5, progress);
ProgressBarKuhara.Visibility = Visibility.Hidden;
HistogramTools.CalculateHistograms();
}
private void OkButtonClick(object sender, RoutedEventArgs e)
{
//close the window
Close();
//perform lut calculation for main image
var lut = HistogramTools.GetLutStretching(int.Parse(TextBoxMin.Text), int.Parse(TextBoxMax.Text));
//update image with newer one after histogram stretching
MainWindow.ModifiedImgSingleton.Source = HistogramTools.StretchHistogram(lut, _option);
//recalculate histograms for updated image
HistogramTools.CalculateHistograms();
}
private void HistogramEqualizationOnClick(object sender, RoutedEventArgs e)
{
//get dystrybuanta values
var dystR = HistogramTools.GetDystrybuanta(HistogramTools.HistogramR);
var dystG = HistogramTools.GetDystrybuanta(HistogramTools.HistogramG);
var dystB = HistogramTools.GetDystrybuanta(HistogramTools.HistogramB);
//get lookup table values after passing dystrybuanta for each channel and length of each channel table
var lutR = HistogramTools.GetLutEqualization(dystR, HistogramTools.HistogramR.Length);
var lutG = HistogramTools.GetLutEqualization(dystG, HistogramTools.HistogramG.Length);
var lutB = HistogramTools.GetLutEqualization(dystB, HistogramTools.HistogramB.Length);
//equalize histogram
ModifiedImgSingleton.Source = HistogramTools.EqualizeHistogram(lutR, lutG, lutB);
//update histogram
HistogramTools.CalculateHistograms();
}
private void MenuOpenImgFileClick(object sender, RoutedEventArgs e)
{
var op = new OpenFileDialog
{
Title = "Wybierz obraz",
Filter = "Wszystkie wspierane obrazy|*.jpg;*.jpeg;*.bmp;*.png;*.gif;*.tiff;|" +
"Obraz PNG (*.png)|*.png|" + "Obraz JPEG (*.jpg;*.jpeg)|*.jpg;*.jpeg|" +
"Obraz BMP (*.bmp)|*.bmp|" +
"Obraz GIF(*.gif)|*.gif|" + "Obraz TIFF(*.tiff)|*.tiff"
};
if (op.ShowDialog() != true)
{
return;
}
_originalImgBitmap = new BitmapImage(new Uri(op.FileName));
_originalImgBitmap = ConvertToAbgrImage(_originalImgBitmap);
OriginalImage.Source = _originalImgBitmap;
ModifiedImage.Source = _originalImgBitmap;
ModifiedImgSingleton = ModifiedImage;
var width = _originalImgBitmap.PixelWidth.ToString();
var height = _originalImgBitmap.PixelHeight.ToString();
ResolutionStatusBar.Text = width + " x " + height;
ResolutionX.Text = width;
ResolutionY.Text = height;
ResetPositionAndZoomOfImage();
SaveImage.X = int.Parse(ResolutionX.Text);
SaveImage.Y = int.Parse(ResolutionY.Text);
_originalMatrix = (MatrixTransform)OriginalImage.RenderTransform;
_modifiedMatrix = (MatrixTransform)ModifiedImage.RenderTransform;
HistogramTools.CalculateHistograms();
}
private void FilterItem_PrewittVerticalOnClick(object sender, RoutedEventArgs e)
{
ModifiedImgSingleton.Source = Mask.PerformMask(MaskTables.PrewittVertical, 3);
HistogramTools.CalculateHistograms();
}
private void BackToOriginalImage(object sender, RoutedEventArgs e)
{
ModifiedImgSingleton.Source = OriginalImage.Source;
HistogramTools.CalculateHistograms();
}
private void TurnImageBlackWhiteOnClick(object sender, RoutedEventArgs e)
{
ModifiedImgSingleton.Source = Binarization.TurnImageBlackWhite((BitmapSource)ModifiedImgSingleton.Source);
HistogramTools.CalculateHistograms();
}
private void ImageObscuringOnClick(object sender, RoutedEventArgs e)
{
var lut = new int[256];
var max = 0;
//loop while value of averagedhistogram is equal to zero, if not, assign this
//position of nonzero value to new variable and break
for (var i = 255; i >= 0; i--)
{
if (HistogramTools.HistogramU[i] > 0)
{
max = i;
break;
}
}
for (var i = 0; i < 256; i++)
{
//using power function to obscure image
lut[i] = (int)Math.Round(255.0 * Math.Pow((double)i / max, 2.0), 0, MidpointRounding.AwayFromZero);
if (lut[i] > 255)
{
lut[i] = 255;
}
if (lut[i] < 0)
{
lut[i] = 0;
}
}
var bitmap = new WriteableBitmap((BitmapSource)ModifiedImgSingleton.Source);
var width = bitmap.PixelWidth;
var height = bitmap.PixelHeight;
var stride = width * ((bitmap.Format.BitsPerPixel + 7) / 8);
var arraySize = stride * height;
var pixels = new byte[arraySize];
//copy all data about pixels values into 1-dimentional array
bitmap.CopyPixels(pixels, stride, 0);
var j = 0;
for (var i = 0; i < pixels.Length / 4; i++)
{
//get values of pixels
var r = pixels[j + 2];
var g = pixels[j + 1];
var b = pixels[j];
//assign new values from lut at r/g/b positions
pixels[j + 2] = (byte)lut[r];
pixels[j + 1] = (byte)lut[g];
pixels[j] = (byte)lut[b];
j += 4;
}
//overwrite pixels table
var rect = new Int32Rect(0, 0, width, height);
bitmap.WritePixels(rect, pixels, stride, 0);
//set new image
ModifiedImgSingleton.Source = bitmap;
//calculate histograms with new image
HistogramTools.CalculateHistograms();
}
private void FilterItem_DetectCornersSouthEast(object sender, RoutedEventArgs e)
{
ModifiedImgSingleton.Source = Mask.PerformMask(MaskTables.SouthEastCorner, 3);
HistogramTools.CalculateHistograms();
}
private void FilterItem_Laplace8OnClick(object sender, RoutedEventArgs e)
{
ModifiedImgSingleton.Source = Mask.PerformMask(MaskTables.LaplaceMiddle8, 3);
HistogramTools.CalculateHistograms();
}
