/// <summary>
/// Pass a vertical and horizontal gabor filter over the superimposed images
/// </summary>
/// <param name="combinedPixels"></param>
/// <returns></returns>
public static double GaborFilter(Matrix <double> combinedPixels)
{
//convert to grayscale
var bm = BitmapFromPixels(combinedPixels, 200);
//bm = ToGrayscale(bm);
var gaborFilter = new GaborFilter();
//get the vertical gabor edges
gaborFilter.Theta = 0.0;
var vertBitmap = gaborFilter.Apply(bm);
var pixels = Array1DFromBitmap(vertBitmap).Select(x => x / 255.0).ToArray();
var vert = GetVerticalEdges(pixels);
//get the horizontal gabor edges
gaborFilter.Theta = Math.PI / 2;
var horizBitmap = gaborFilter.Apply(bm);
pixels = Array1DFromBitmap(horizBitmap).Select(x => x / 255.0).ToArray();;
var horiz = GetHorizontalEdges(pixels);
var sum = vert.Sum() + horiz.Sum();// + left.Sum();
return(sum);
}
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 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))));
}
public void ProcessImageTest()
{
double[,] diag = Matrix.Magic(5);
Bitmap input;
new MatrixToImage().Convert(diag, out input);
// Create a new Gabor filter
GaborFilter gabor = new GaborFilter();
// Apply the filter
Bitmap output = gabor.Apply(input);
double[,] actual;
new ImageToMatrix().Convert(output, out actual);
double[,] expected =
{
{ 0.192156862745098, 0.176470588235294, 0.254901960784314, 0.396078431372549, 0.529411764705882 },
{ 0.16078431372549, 0.305882352941176, 0.494117647058824, 0.635294117647059, 0.654901960784314 },
{ 0.407843137254902, 0.623529411764706, 0.737254901960784, 0.701960784313725, 0.564705882352941 },
{ 0.752941176470588, 0.815686274509804, 0.713725490196078, 0.541176470588235, 0.403921568627451 },
{ 0.847058823529412, 0.694117647058824, 0.505882352941176, 0.380392156862745, 0.329411764705882 }
};
Assert.IsTrue(expected.IsEqual(actual, 1e-6));
}
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 void GaborTest1()
{
Bitmap image = Properties.Resources.lena512;
GaborFilter gabor = new GaborFilter();
Bitmap result = gabor.Apply(image);
// ImageBox.Show(result);
Assert.IsNotNull(result);
}
public void GaborTest1()
{
Bitmap image = Accord.Imaging.Image.Clone(Resources.lena512);
GaborFilter gabor = new GaborFilter();
Bitmap result = gabor.Apply(image);
// ImageBox.Show(result);
Assert.IsNotNull(result);
}
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));
}
private double Runal(GaborFilter gaborFilter, Bitmap b)
{
try
{
Bitmap output = gaborFilter.Apply(b);
Accord.Imaging.ImageStatistics statistics = new Accord.Imaging.ImageStatistics(output);
var histogram = statistics.Gray;
return(histogram.Mean);
}
catch (Exception e) { return(0); }
// featuredata = featuredata + mean + ",";
}
private void edgeDetect(ushort j)
{
cvsbmp = UtilFn.BitmapImage2Bitmap(images[j]);
Grayscale gfilter = new Grayscale(0.2125, 0.7154, 0.0721);
Bitmap grayImage = gfilter.Apply(cvsbmp);
GaborFilter filter = new GaborFilter();
Bitmap output = filter.Apply(grayImage);
imagesEdited.Add(converter.Convert(output, Type.GetType("BitmapImage"), null, null) as BitmapImage);
}
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))));
}
//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);
}
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();
}
}
}
