private void n5_KeyDown(object sender, KeyEventArgs e)
{
var temp = (sender as TextBox);
if (e.Key == Key.Enter)
{
if (temp.Text == string.Empty)
{
Fourier.Cleare(5);
}
else
{
int.TryParse(temp.Text, out int v);
Fourier.Draw(ffff.FourierSeries(v), -10, 10, 0.01, 5);
}
}
}
private void NewFunction_Click(object sender, RoutedEventArgs e)
{
var gg = new Grid()
{
Background = Brushes.SkyBlue,
Width = 300,
Height = 200,
VerticalAlignment = VerticalAlignment.Center,
HorizontalAlignment = HorizontalAlignment.Center,
};
gg.Children.Add(new TextBlock
{
Text = "please wait",
VerticalAlignment = VerticalAlignment.Center,
HorizontalAlignment = HorizontalAlignment.Center
});
Grid.SetRow(gg, 1);
MainGrid.Children.Add(gg);
anbn.Children.Clear();
var f = new NewFunction();
var p =
new PopUp()
{
Content = f,
Owner = this
};
p.Width = 730;
p.Height = 340;
p.ShowDialog();
if (UI.NewFunction.Piese == false)
{
if (UI.NewFunction.Type == FunctionType.normal)
{
var sf = new SimpleFourier(UI.NewFunction.Func, UI.NewFunction.Period, 40);
ffff = sf;
Fourier.Draw(sf.FourierSeries(30), -10, 10, 0.01);
anbn.Children.Add(new TextBlock
{
Text = "a0: " + sf.a0.ToString(),
VerticalAlignment = VerticalAlignment.Stretch,
TextAlignment = TextAlignment.Center
});
for (int i = 0; i < sf.an.Length; i++)
{
anbn.Children.Add(new TextBlock
{
Text = "a" + (i + 1).ToString() + ": " + sf.an[i].ToString() +
" b" + (i + 1).ToString() + ": " + sf.bn[i].ToString(),
VerticalAlignment = VerticalAlignment.Stretch,
TextAlignment = TextAlignment.Center
});
}
Dynamics.GetValues(sf.Function, -sf.Period, sf.Period, 0.001, out KeyValuePair <double, double>[] values);
Function.Draw(values);
}
else
{
var sf = new OddEvenFourier(UI.NewFunction.Func, UI.NewFunction.Period, 40, UI.NewFunction.Type);
ffff = sf;
Fourier.Draw(sf.FourierSeries(30), -10, 10, 0.01);
anbn.Children.Add(new TextBlock
{
Text = "a0: " + sf.a0.ToString(),
VerticalAlignment = VerticalAlignment.Stretch,
TextAlignment = TextAlignment.Center
});
for (int i = 0; i < sf.an.Length; i++)
{
anbn.Children.Add(new TextBlock
{
Text = "a" + (i + 1).ToString() + ": " + sf.an[i].ToString() +
" b" + (i + 1).ToString() + ": " + sf.bn[i].ToString(),
VerticalAlignment = VerticalAlignment.Stretch,
TextAlignment = TextAlignment.Left
});
}
Dynamics.GetValues(sf.Function, 0, sf.Period, 0.001, out KeyValuePair <double, double>[] values);
var othvals = new List <KeyValuePair <double, double> >();
if (UI.NewFunction.Type == FunctionType.even)
{
foreach (var item in values)
{
//othvals.Add(new KeyValuePair<double, double>(item.Key, item.Value));
othvals.Add(new KeyValuePair <double, double>(-item.Key, item.Value));
}
}
else if (UI.NewFunction.Type == FunctionType.odd)
{
foreach (var item in values)
{
//othvals.Add(new KeyValuePair<double, double>(item.Key, item.Value));
othvals.Add(new KeyValuePair <double, double>(-item.Key, -item.Value));
}
}
foreach (var item in values)
{
othvals.Add(new KeyValuePair <double, double>(item.Key, item.Value));
}
Function.Draw(othvals.ToArray());
}
}
else
{
var sf = new PiecewiseFourier(40);
for (int i = 0; i < UI.NewFunction.Pieses.Count; i++)
{
sf.AddCriterion(UI.NewFunction.Pieses[i], UI.NewFunction.Froms[i], UI.NewFunction.Tos[i]);
}
sf.Criterioned();
ffff = sf;
var vs = new List <KeyValuePair <double, double> >();
foreach (var item in sf.Values)
{
vs.Add(new KeyValuePair <double, double>(item.Key, item.Value));
}
Function.Draw(vs.ToArray());
Fourier.Draw(sf.FourierSeries(30), -10, 10, 0.01);
anbn.Children.Add(new TextBlock
{
Text = "a0: " + sf.a0.ToString(),
VerticalAlignment = VerticalAlignment.Stretch,
TextAlignment = TextAlignment.Left
});
for (int i = 0; i < sf.an.Length; i++)
{
anbn.Children.Add(new TextBlock
{
Text = "a" + (i + 1).ToString() + ": " + sf.an[i].ToString() +
" b" + (i + 1).ToString() + ": " + sf.bn[i].ToString(),
VerticalAlignment = VerticalAlignment.Stretch,
TextAlignment = TextAlignment.Left
});
}
}
MainGrid.Children.Remove(gg);
}
private void goBtn_Click(object sender, EventArgs e)
{
x = 1024;
y = 1024;
openSource.Text = openKernel.Text = "Open";
data = Reader.readFile(image, x, y, false);
//Copy data line for Fourier
//data = Reader.Rotate(data);
tempFourier1 = PrepareVerticalFouirier(data, line);
//Print Fourier
Fourier.Draw(fourierChart, tempFourier1, SeriesChartType.Spline);
if (kernel != "empty")
{
kernelData = Reader.readHex(kernel);
}
double[][] result = data;
pictureBefore.Image = Reader.Draw(Reader.RescaleImage(data, x, y), x, y);
switch (listOperations.SelectedItem.ToString().Trim())
{
case ("Knearest"):
{
result = Zoom.Knearest(data, 2);
}
break;
case ("Bilinear"):
{
result = Zoom.Bilinear(data, 2);
}
break;
case ("Logarithm"):
{
result = Zoom.Logarithm(data, 2);
}
break;
case ("Negative"):
{
result = Processing.Nagative(data, 256);
}
break;
case ("Gamma"):
{
//improve C after 1 for darkness, degrade after 1 for light
//For xcr (need rescale + normilize)
result = Processing.Gamma(data, 1, 0.7);
}
break;
case ("Remove Border (LPF)"):
{
result = Border.StepFunction(result, 180, 180, 8);
result = Border.RemoveBorder_LPF(result, 0.05, 16, dt);
}
break;
case ("Remove Border (Gradient)"):
{
result = Border.Gradient(result);
result = Border.StepFunction(result, 1, 1, 8);
}
break;
case ("Remove Border (Laplassian)"):
{
result = Border.Laplassian(result);
}
break;
case ("Recover"):
{
if (kernel != "empty")
{
result = Recover.recovery(result, kernel);
}
else
{
MessageBox.Show("no kernel uploaded");
}
}
break;
case ("Recover with Noize"):
{
if (kernel != "empty")
{
result = Recover.recoveryWithNoize(result, kernel, 0.01);
}
else
{
MessageBox.Show("no kernel uploaded");
}
}
break;
case ("Remove Grid"):
{
//Calculate grid fcuts:
//среднее по массиву Фурье:
double avg = Fourier.CalcAVG(tempFourier1);
//среднеквадратичное отклонение (сигма)
double sigma = Fourier.CalcStandardDeviation(tempFourier1);
//поиск пика:
double[] temp = new double[tempFourier1.Length];
for (int i = 0; i < tempFourier1.Length / 2; i++)
{
if (tempFourier1[i] > avg + sigma / 4)
{
temp[i] = i * (dt / data.Length);
}
}
var peaks = from point in temp
where point != 0
select point;
double lefttmp = 0.275609756097561;
double left = peaks.Min();
double right = peaks.Max();
result = Recover.removeLines(data, lefttmp, right, 64, dt);
}
break;
case ("Dilatation"):
{
result = Border.StepFunction(result, 180, 180, 8);
double[][] step = result;
step = Copy2D(result, step);
result = Processing.ApplyMaskDilatation(result, 10, 128);
for (int i = 0; i < step.Length; i++)
{
for (int j = 0; j < step[0].Length; j++)
{
result[i][j] -= step[i][j];
}
}
}
break;
case ("Erosion"):
{
result = Border.StepFunction(result, 180, 180, 8);
double[][] step = result;
step = Copy2D(result, step);
step = Processing.ApplyMaskErosion(step, 10, 128);
for (int i = 0; i < step.Length; i++)
{
for (int j = 0; j < step[0].Length; j++)
{
result[i][j] -= step[i][j];
}
}
}
break;
default:
break;
}
if (listOperations.SelectedItem.ToString().Trim() != "Equalize")
{
pictureAfter.Image = Reader.Draw(Reader.RescaleImage(result, x, y), x, y);
}
else
{
//Prepare Hist
int levels = 256;
DrawHist(Parser.BitmapTo2D((Bitmap)pictureBefore.Image), chartHisto, levels);
//LEGACY
//Draw Picture
pictureBefore.Image = Parser.readFile(image);
Bitmap temp = (Bitmap)pictureBefore.Image.Clone();
pictureAfter.Image = Processing.Equalizing(temp);
}
}
private void noizeBtn_Click(object sender, EventArgs e)
{
double[][] result = data;
switch (listNoize.SelectedItem.ToString().Trim())
{
case ("Random"):
{
result = Processing.randomNoize(data, 0.4);
}
break;
case ("Impulse (Salt and Pepper)"):
{
result = Processing.noizeSaltAndPepper(data, 0.25);
}
break;
case ("Both"):
{
result = Processing.noizeSaltAndPepper(data, 0.25);
result = Processing.randomNoize(result, 0.25);
}
break;
default:
break;
}
noize = Copy2D(result, noize);
switch (listRemoveNoize.SelectedItem.ToString().Trim())
{
case ("Avg"):
{
result = Filters.AvgFilter(noize, 3);
pictureBefore.Image = Reader.Draw(Reader.RescaleImage(noize, x, y), x, y);
}
break;
case ("Median"):
{
result = Filters.MedianFilter(noize, 7);
pictureBefore.Image = Reader.Draw(Reader.RescaleImage(noize, x, y), x, y);
}
break;
case ("LPF"):
{
//find filter freq
//prepare clear data fourier and then minus the noize fourier
tempFourier2 = new double[tempFourier1.Length];
for (int i = 0; i < tempFourier1.Length; i++)
{
tempFourier2[i] -= tempFourier1[i];
}
//Print Fourier wth Noize
//tempFourier2 = PrepareVerticalFouirier(result, line);
Fourier.Draw(fourierChart, tempFourier2, SeriesChartType.Spline);
//LPF Filter
result = Filters.LPF_y(result, filter, 64, dt);
//Print Fourier after LPF
//tempFourier2 = PrepareVerticalFouirier(temp, line);
//Fourier.Draw(fourierChart, tempFourier2, System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline);
//output noize picture
pictureBefore.Image = Reader.Draw(Reader.RescaleImage(noize, x, y), x, y);
}
break;
case ("HPF"):
{
double[][] temp = result;
temp = Copy2D(result, temp);
//Print Fourier wth Noize
tempFourier2 = PrepareVerticalFouirier(temp, line);
Fourier.Draw(fourierChart, tempFourier2, SeriesChartType.Spline);
//HPF Filter
temp = Filters.HPF_y(temp, filter, 64, dt);
//Print Fourier after HPF
//tempFourier2 = PrepareVerticalFouirier(temp, line);
//Fourier.Draw(fourierChart, tempFourier2, System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Spline);
//output noize picture
pictureBefore.Image = Reader.Draw(Reader.RescaleImage(noize, x, y), x, y);
//HPF minus noize picture
for (int i = 0; i < temp.Length; i++)
{
for (int j = 0; j < temp[0].Length; j++)
{
result[i][j] -= temp[i][j];
}
}
}
break;
default:
break;
}
pictureAfter.Image = Reader.Draw(Reader.RescaleImage(result, x, y), x, y);
}