private void cbTransform_SelectedIndexChanged(object sender, EventArgs e)
{
switch (cbTransform.Text)
{
case "Fourier":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.FurieFunction(y));
addParameters(panelTransformParams, new string[] { });
break;
}
case "ForwardFurie":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.ForwardFurie(y).Select(x => x.Imaginary + x.Real).ToArray());
addParameters(panelTransformParams, new string[] { });
break;
}
case "ReverseFurie":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.ReverseFurie(y).Select(x => x.Imaginary + x.Real).ToArray());
addParameters(panelTransformParams, new string[] { });
break;
}
case "CombFilter":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => {
double[] res = Transformations.CombFilter(y, args[0], (int)args[1]);
return(res);
});
addParameters(panelTransformParams, new string[] { "g", "M" });
break;
}
case "Spikes(F(x),M,Sigma)":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.SpikesFunction(y, args[0], args[1]));
addParameters(panelTransformParams, new string[] { "M", "sigma" });
break;
}
case "Shift(F(x),shift)":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.ShiftFunction(y, args[0]));
addParameters(panelTransformParams, new string[] { "shift" });
break;
}
case "RandomSpikes(x,spikes)":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.RandomSpikes(y, (int)args[0], args[1]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "spikes", "sigma" });
break;
}
case "ConvolutionWithHeartBeat(x,f0,alpha,hLeft,hRight,hStep)":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => Transformations.ConvolutionWithHeartBeat(y, args[0], args[1], args[2], args[3], args[4], Double.Parse(tbStep.Text)));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "f0", "alpha", "hLeft", "hRight", "hStep" });
break;
}
case "Zoom":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ZoomKnearest(y, args[0]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "k" });
break;
}
case "ZoomInterpolation":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ZoomInterpilation(y, args[0]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "k" });
break;
}
case "Negative":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Negative(y, 255));
double tmp = 0;
addParameters(panelTransformParams, new string[] { });
break;
}
case "Gamma-correction":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.GammaCorrection(y, args[0], args[1]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "C", "gamma" });
break;
}
case "Reascale":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => RescaleImage(y));
double tmp = 0;
addParameters(panelTransformParams, new string[] { });
break;
}
case "Logarithmic":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Logarithmic(y, args[0]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "C" });
break;
}
case "Equalization":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Histogram.HistEquilization(y, 256));
double tmp = 0;
addParameters(panelTransformParams, new string[] {});
break;
}
case "Reduction":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Histogram.HistReduction(y, 256));
double tmp = 0;
addParameters(panelTransformParams, new string[] { });
break;
}
case "Recovery":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.recovery(y, tbAuxFile.Text));
double tmp = 0;
addParameters(panelTransformParams, new string[] { });
break;
}
case "Recovery with noize":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.RecoveryWithNoize(y, tbAuxFile.Text, args[0]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "regularization" });
break;
}
case "Rotate": {
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Rotate(y));
double tmp = 0;
addParameters(panelTransformParams, new string[] { });
break;
}
case "CheckGrid": {
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => { Transformations.CheckGrid(y[(int)args[0]]); return(y); });
double tmp = 0;
addParameters(panelTransformParams, new string[] { "row" });
break;
}
case "CheckGridWithCrossCorrelation":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => { Transformations.CheckGridWithCross(y, (int)args[0], (int)args[1]); return(y); });
double tmp = 0;
addParameters(panelTransformParams, new string[] { "row1", "row2" });
break;
}
case "RemoveGrid":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.RemoveGrid(y, args[0], args[1], args[2]));
double tmp = 0;
addParameters(panelTransformParams, new string[] { "freq1", "freq2", "m" });
break;
}
case "ConturLPF":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ConturLPF(y, args[0], args[1], args[2]));
addParameters(panelTransformParams, new string[] { "threshold", "fcut", "m" });
break;
}
case "Threshold":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ThresholdFun(y, args[0], args[1], 8));
addParameters(panelTransformParams, new string[] { "min_threshold", "max_threshold" });
break;
}
case "ThresholdDynamic":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ThresholdFunDynamic(y, (int)args[0]));
addParameters(panelTransformParams, new string[] { "Windows count" });
break;
}
case "LPF_Whole":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.LPF(y, args[0], args[1]));
addParameters(panelTransformParams, new string[] { "fcut", "m" });
break;
}
case "HPF_Whole":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.HPF(y, args[0], args[1]));
addParameters(panelTransformParams, new string[] { "fcut", "m" });
break;
}
case "Minus":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Minus(y, data[(int)args[0]]));
addParameters(panelTransformParams, new string[] { "pictureNum" });
break;
}
case "Plus":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Plus(y, data[(int)args[0]]));
addParameters(panelTransformParams, new string[] { "pictureNum" });
break;
}
case "MultiColorPlus":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.MultiColorPlus(y, data[(int)args[0]]));
addParameters(panelTransformParams, new string[] { "pictureNum" });
break;
}
case "Gradient":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Gradient(y));
addParameters(panelTransformParams, new string[] {});
break;
}
case "Laplassian":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.Laplassian(y));
addParameters(panelTransformParams, new string[] { });
break;
}
case "Erosion":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ApplyMaskErosion(y, (int)args[0], args[1]));
addParameters(panelTransformParams, new string[] { "mask width", "threshold" });
break;
}
case "Dilation":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ApplyMaskDilatation(y, (int)args[0], args[1]));
addParameters(panelTransformParams, new string[] { "mask width", "threshold" });
break;
}
case "AddRandNoize":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ApplyRandNoize(y, args[0]));
addParameters(panelTransformParams, new string[] { "power" });
break;
}
case "AddImpulseNoize":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.ApplyNoizeSaltAndPepper(y, args[0]));
addParameters(panelTransformParams, new string[] { "power" });
break;
}
case "AvgFilter":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.AvgFilter(y, (int)args[0]));
addParameters(panelTransformParams, new string[] { "mask width" });
break;
}
case "MedianFilter":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => Transformations.MedianFilter(y, (int)args[0]));
addParameters(panelTransformParams, new string[] { "mask width" });
break;
}
case "Flood":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
//transformWhole = new Func<double[][], double[], double[][]>((y, args) => Transformations.Flood(y, (int)args[0]));
addParameters(panelTransformParams, new string[] { "iterations" });
break;
}
case "FindAreas":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => {
Colored = true;
return(Transformations.MultiColorPlus(Transformations.FindAreas(y, (int)args[0]), y));
});
addParameters(panelTransformParams, new string[] { "stone size" });
break;
}
case "FindAreasWithPreproccessing":
{
transformY = new Func <Double[], Double[], Double[]>((y, args) => y);
transformWhole = new Func <double[][], double[], double[][]>((y, args) => {
var grad_stone = Transformations.Gradient(RescaleImage(Transformations.Negative(RescaleImage(y), 255)));
var interstone = Transformations.Laplassian(RescaleImage(Transformations.Negative(RescaleImage(y), 255)));
interstone = Transformations.Plus(interstone, interstone);
interstone = Transformations.Plus(interstone, interstone);
var a = Transformations.Minus(Transformations.Plus(RescaleImage(y), grad_stone), interstone);
var b = Transformations.Plus(Transformations.ThresholdFun(a, 115, 115),
Transformations.Laplassian(RescaleImage(y)));
var c = Transformations.ThresholdFun(b, 115, 115);
Colored = true;
return(Transformations.MultiColorPlus(Transformations.FindAreas(c, (int)args[0]), y));
});
addParameters(panelTransformParams, new string[] { "stone size" });
break;
}
/* case "ConvolutionWithPlot":
* {
*
* transformX = new Func<Double[], Double[], Double[]>((y, args) => {
*
*
* Series series = chart.Series.FindByName(args[0].ToString());
* int m = series.Points.Select(item => item.YValues[0]).ToArray().Length;
*
*
* return y.ToArray();
* });
* transformY = new Func<Double[], Double[], Double[]>((y, args) => {
* Series series = chart.Series.FindByName(args[0].ToString());
* double[] h = series.Points.Select(item => item.YValues[0]).ToArray();
* double[] res = Transformations.ConvolutionWithPlot(h, y);
*
* return Transformations.Normalize(res);
* });
* addParameters(panelTransformParams, new string[] { "Plot number" });
* break;
* }*/
default:
{
break;
}
}
}