void Form1_DragDrop(object sender, DragEventArgs e)
{
String[] files = (String[])e.Data.GetData(DataFormats.FileDrop);
// foreach (string file in files) Console.WriteLine(file);
//this.TXT.Text = files[0];
Bitmap bitmap = new Bitmap(files[0]);
BitmapImage logo = new BitmapImage();
logo.BeginInit();
logo.UriSource = new Uri(files[0]);
logo.EndInit(); // Getting the exception here
originalImage.Source = logo;
Bitmap tmp = ImageSupporter.ColorToGrayscale(ImageSupporter.BitmapImage2Bitmap(logo));
Bitmap or = Filtrator.segmentation(100, tmp);
//originalImage.Source = ImageSupporter.Bitmap2BitmapImage(ImageSupporter.ColorToGrayscale(ImageSupporter.BitmapImage2Bitmap(logo)));
originalImage.Source = ImageSupporter.Bitmap2BitmapImage(or);
newImageSource = files[0];
fingerprint = new Fingerprint((BitmapImage)originalImage.Source);
this.orginalBitmap = fingerprint.orginalImage;
this.workingImage = (Bitmap)orginalBitmap.Clone();
//actualFingerprint = new Fingerprint(logo);
helpText.Visibility = Visibility.Hidden;
}
public Bitmap gaborFilter(Bitmap b, float gamma, float lambda, float psi, float sigma, float theta)
{
GaborFilter filter = new GaborFilter();
Random random = new Random();
Boolean flaga = true;
filter.Gamma = gamma;
filter.Lambda = lambda;
filter.Psi = psi;
filter.Sigma = sigma;
filter.Theta = theta;
Bitmap bx = ImageSupporter.ColorToGrayscale(b);
var okno = new ImageWindow(ImageSupporter.Bitmap2BitmapImage(filter.Apply(ImageSupporter.ColorToGrayscale(bx))));
okno.Title = filter.Gamma + " " + filter.Lambda + " " + filter.Psi + " " + filter.Sigma + " " + filter.Theta;
okno.Show();
filter.Gamma = 3.0;
filter.Theta = 0.0;
GrayscaleToRGB grayscaleToRGB = new GrayscaleToRGB();
return(grayscaleToRGB.Apply(filter.Apply(ImageSupporter.ColorToGrayscale(b))));
}
public static void gaborFilterRandom(Bitmap b)
{
GaborFilter gb = new GaborFilter();
Random random = new Random();
Bitmap bx;
for (int i = 1; i < 100; i++)
{
gb.Gamma = random.NextDouble() * random.Next(1, 10);;
gb.Lambda = random.Next(1, 10);
gb.Psi = random.NextDouble();
gb.Sigma = random.Next(1, 10);
gb.Theta = 0;
bx = ImageSupporter.ColorToGrayscale(b);
if (gb.Gamma == 0)
{
gb.Gamma = 0.01;
}
Console.WriteLine(gb.Gamma + " " + gb.Lambda + " " + gb.Psi + " " + gb.Sigma + " " + gb.Theta);
try
{
ImageWindow iw = new ImageWindow(ImageSupporter.Bitmap2BitmapImage(gb.Apply(bx)));
iw.Title = gb.Gamma + " " + gb.Lambda + " " + gb.Psi + " " + gb.Sigma + " " + gb.Theta;
iw.Show();
}
catch (Exception e)
{
e.GetBaseException();
}
}
}
public static void GaborFilter(Bitmap b, float gamma, float lambda, float psi, float sigma, float theta)
{
GaborFilter gb = new GaborFilter();
Random random = new Random();
Bitmap bx;
gb.Gamma = gamma;
gb.Lambda = lambda;
gb.Psi = psi;
gb.Sigma = sigma;
gb.Theta = theta;
bx = ImageSupporter.ColorToGrayscale((Bitmap)b.Clone());
Bitmap tmp = bx;
tmp = gb.Apply(bx);
ImageWindow iw = new ImageWindow(ImageSupporter.Bitmap2BitmapImage(tmp));
iw.Title = gb.Gamma + " " + gb.Lambda + " " + gb.Psi + " " + gb.Sigma + " " + gb.Theta;
iw.Show();
}
public static Bitmap gaborFilter(Bitmap b, GaborFilter gf)
{
// Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
/*filter.Gamma = random.Next(1,5);
* filter.Lambda=random.Next(1,5);
* filter.Psi=random.Next(1,5);
* filter.Sigma=random.Next(1,5);
* filter.Theta=random.Next(1,5);*/
Bitmap bx = ImageSupporter.ColorToGrayscale(b);
gf.Apply(ImageSupporter.ColorToGrayscale(bx));
// var okno = new ImageWindow(ImageSupporter.Bitmap2BitmapImage(filter.Apply(ImageSupporter.ColorToGrayscale(bx))));
// okno.Title = filter.Gamma + " " + filter.Lambda + " " + filter.Psi + " " + filter.Sigma + " " + filter.Theta;
// okno.Show();
GrayscaleToRGB grayscaleToRGB = new GrayscaleToRGB();
return(grayscaleToRGB.Apply(gf.Apply(ImageSupporter.ColorToGrayscale(b))));
}
//metoda zrwacająca wynik filtru Cannyego
public static Bitmap Canny(Bitmap bitmap)
{
Bitmap temporary = ImageSupporter.ColorToGrayscale(bitmap);;
CannyEdgeDetector cannyEdgeDetector = new CannyEdgeDetector();
temporary = cannyEdgeDetector.Apply((Bitmap)temporary.Clone());
return(ImageSupporter.GrayScaleToColor(temporary));
}
public static Bitmap Binaryzation(Bitmap b, int limit)
{
Threshold th = new Threshold();
th.ThresholdValue = limit;
Bitmap bx = ImageSupporter.ColorToGrayscale((Bitmap)b.Clone());
GrayscaleToRGB grayscaleToRGB = new GrayscaleToRGB();
return(grayscaleToRGB.Apply(th.Apply(ImageSupporter.ColorToGrayscale(bx))));
}
public static Bitmap GaborFilter(Bitmap b, float angle)
{
Bitmap bz = (Bitmap)b.Clone();
GaborBank gb = new GaborBank();
GaborFilter gf = gb.GetGaborFilterFromBank(angle);
Bitmap bx = ImageSupporter.ColorToGrayscale((Bitmap)bz.Clone());
Bitmap filtered = gf.Apply(bx);
return(ImageSupporter.GrayScaleToColor(filtered));
}
//metoda zwracająca bank filtrów gabora dla zadanej bitmapy
public static List <Bitmap> gaborFilterMyBank(Bitmap bs)
{
List <SetValuesForGabor> bank = new List <SetValuesForGabor>();
bank.Add(new SetValuesForGabor(4, 8, 0.5f, 9.2f, 0));
bank.Add(new SetValuesForGabor(4, 8, 0.5f, 4.8f, (float)ImageSupporter.DegreeToRadian(15)));
bank.Add(new SetValuesForGabor(4, 6.5f, 0.5f, 4.3f, (float)ImageSupporter.DegreeToRadian(30)));
bank.Add(new SetValuesForGabor(4, 7, 0.5f, 4.3f, (float)ImageSupporter.DegreeToRadian(45)));
bank.Add(new SetValuesForGabor(4, 6.5f, 0.5f, 4.3f, (float)ImageSupporter.DegreeToRadian(60)));
bank.Add(new SetValuesForGabor(4, 8, 0.5f, 4.8f, (float)ImageSupporter.DegreeToRadian(75)));
bank.Add(new SetValuesForGabor(4, 7, 0.5f, 4.6f, (float)ImageSupporter.DegreeToRadian(90)));
bank.Add(new SetValuesForGabor(4, 7.3f, 0.5f, 4.4f, (float)ImageSupporter.DegreeToRadian(105)));
bank.Add(new SetValuesForGabor(4, 6.2f, 0.5f, 3.7f, (float)ImageSupporter.DegreeToRadian(120)));
bank.Add(new SetValuesForGabor(4, 7, 0.5f, 4.3f, (float)ImageSupporter.DegreeToRadian(135)));
bank.Add(new SetValuesForGabor(4, 6.5f, 0.5f, 4.3f, (float)ImageSupporter.DegreeToRadian(150)));
bank.Add(new SetValuesForGabor(4, 8, 0.5f, 4.8f, (float)ImageSupporter.DegreeToRadian(165)));
GaborFilter gb = new GaborFilter();
Random random = new Random();
Bitmap bx;
Bitmap b = (Bitmap)bs.Clone();
List <Bitmap> gaborBank = new List <Bitmap>();
bx = ImageSupporter.ColorToGrayscale(b);
for (int i = 0; i < bank.Count; i++)
{
bank[i].SetGaborFilter(gb);
gaborBank.Add(gb.Apply((Bitmap)bx.Clone()));
ImageWindow im = new ImageWindow(ImageSupporter.Bitmap2BitmapImage(gaborBank[i]));
im.Title = gb.Gamma + " " + gb.Lambda + " " + gb.Psi + " " + gb.Sigma + " " + gb.Theta;
im.Show();
}
return(gaborBank);
}
private void LoadImage(String path)
{
BitmapImage logo = new BitmapImage();
logo.BeginInit();
logo.UriSource = new Uri(path);
logo.EndInit();
//originalImage.Source = logo;
Bitmap tmp = ImageSupporter.ColorToGrayscale(ImageSupporter.BitmapImage2Bitmap(logo));
Bitmap or = Filtrator.segmentation(100, tmp);
//originalImage.Source = ImageSupporter.Bitmap2BitmapImage(ImageSupporter.ColorToGrayscale(ImageSupporter.BitmapImage2Bitmap(logo)));
//originalImage.Source = ImageSupporter.Bitmap2BitmapImage(or);
newImageSource = path;
fingerprint = new Fingerprint(ImageSupporter.Bitmap2BitmapImage(or));
this.orginalBitmap = fingerprint.orginalImage;
this.workingImage = (Bitmap)orginalBitmap.Clone();
}
public static Bitmap gaborFilter(Bitmap b, float gamma, float lambda, float psi, float sigma, float theta)
{
// Grayscale g = new Grayscale(0.2125, 0.7154, 0.0721);
GaborFilter filter = new GaborFilter();
Random random = new Random();
Boolean flaga = true;
filter.Gamma = gamma;
filter.Lambda = lambda;
filter.Psi = psi;
filter.Sigma = sigma;
filter.Theta = theta;
/*filter.Gamma = random.Next(1,5);
* filter.Lambda=random.Next(1,5);
* filter.Psi=random.Next(1,5);
* filter.Sigma=random.Next(1,5);
* filter.Theta=random.Next(1,5);*/
Bitmap bx = ImageSupporter.ColorToGrayscale(b);
filter.Apply(ImageSupporter.ColorToGrayscale(bx));
// var okno = new ImageWindow(ImageSupporter.Bitmap2BitmapImage(filter.Apply(ImageSupporter.ColorToGrayscale(bx))));
// okno.Title = filter.Gamma + " " + filter.Lambda + " " + filter.Psi + " " + filter.Sigma + " " + filter.Theta;
// okno.Show();
GrayscaleToRGB grayscaleToRGB = new GrayscaleToRGB();
return(grayscaleToRGB.Apply(filter.Apply(ImageSupporter.ColorToGrayscale(b))));
}
//konwertowanie do 8 bitowego obrazu w odcieniu szarości
public static Bitmap GrayScaleToColor(Bitmap bitmap)
{
GrayscaleToRGB grayscaleToRGB = new GrayscaleToRGB();
return(grayscaleToRGB.Apply(ImageSupporter.ColorToGrayscale(bitmap)));
}