//b / a
private ImageOperationalValue ImageOperationalValueDivide(ImageOperationalValue a, ImageOperationalValue b)
{
ImageOperationalValue summ = new ImageOperationalValue();
if ((a.operandType() == OperandTypes.DenseMatrix) && (b.operandType() == OperandTypes.DenseMatrix))
{
DenseMatrix dmTmpMatrix = (DenseMatrix)a.DmImageComponent.Clone();
dmTmpMatrix.MapInplace(new Func <double, double>((val) => { return((val == 0.0) ? (1.0) : (val)); }));
summ.DmImageComponent = (DenseMatrix)b.DmImageComponent.PointwiseDivide(dmTmpMatrix);
}
else if ((a.operandType() == OperandTypes.DenseMatrix) && (b.operandType() == OperandTypes.DoubleValue))
{
DenseMatrix dmTmpMatrix = (DenseMatrix)a.DmImageComponent.Clone();
dmTmpMatrix.MapInplace(new Func <double, double>((val) => { return((val == 0.0) ? (1.0) : (val)); }));
summ.DmImageComponent = (DenseMatrix)matrixWithValue(a.DmImageComponent, b.dNumber).PointwiseDivide(dmTmpMatrix);
}
else if ((b.operandType() == OperandTypes.DenseMatrix) && (a.operandType() == OperandTypes.DoubleValue))
{
DenseMatrix dmTmpMatrix = (DenseMatrix)matrixWithValue(b.DmImageComponent, a.dNumber);
dmTmpMatrix.MapInplace(new Func <double, double>((val) => { return((val == 0.0) ? (1.0) : (val)); }));
summ.DmImageComponent = (DenseMatrix)b.DmImageComponent.PointwiseDivide(dmTmpMatrix);
}
return(summ);
}
private ImageOperationalValue ImageOperationalValueSmoothCos(ImageOperationalValue a, double kernelWidth)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
// сгладить гауссом или косинусом
int kernelHalfLength = Convert.ToInt32(kernelWidth / 2.0d);
//double maxL = ((double)kernelHalfLength) * Math.Sqrt(2.0d);
//DenseMatrix dmKernel = DenseMatrix.Create(2 * kernelHalfLength + 1, 2 * kernelHalfLength + 1, (r, c) =>
//{
// double curDist =
// (new PointD(r - (double)kernelHalfLength, c - (double)kernelHalfLength)).Distance(new PointD(0.0d, 0.0d));
// return Math.Cos(curDist * Math.PI / (2.0d * maxL));
//});
DenseMatrix dmSmoothed = a.DmImageComponent.Conv2(StandardConvolutionKernels.cos, kernelHalfLength);
res.DmImageComponent = dmSmoothed;
}
else
{
res.dNumber = a.dNumber;
}
return(res);
}
private void pushImageToStackByColorChar(Stack <ImageOperationalValue> stack, string inStr)
{
ImageOperationalValue imgIOV = new ImageOperationalValue();
switch (inStr)
{
case "R":
imgIOV.DmImageComponent = dmR;
break;
case "G":
imgIOV.DmImageComponent = dmG;
break;
case "B":
imgIOV.DmImageComponent = dmB;
break;
case "Y":
imgIOV.DmImageComponent = dmY;
break;
default:
{
imgIOV.dNumber = Convert.ToDouble(inStr.Replace(".", ","));
break;
}
}
stack.Push(imgIOV);
}
//пока что возводит в степень
//надо посчитать Фурье, отрезать высокие гармоники, вернуть обратно
//пока отрежем значения, лежащие за пределами интервала 3*sigma от среднего
private ImageOperationalValue ImageOperationalValueCut(ImageOperationalValue a, double sigmaCount)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
//DenseMatrix dmRes = (DenseMatrix)a.DmImageComponent.Clone();
//determining the new mean value
DenseMatrix dmTmp = a.DmImageComponent.Copy();
DescriptiveStatistics stats = new DescriptiveStatistics(dmTmp.Values);
double dataMeanTmp = stats.Mean;
double standDevTmp = stats.StandardDeviation;
double deviationMarginTmp = sigmaCount * standDevTmp;
dmTmp.MapInplace(new Func <double, double>((dVal) =>
{
if (Math.Abs(dVal - dataMeanTmp) > deviationMarginTmp)
{
//double theSign = (dVal - dataMeanTmp) / Math.Abs(dVal - dataMeanTmp);
// return double.NaN;
return(dataMeanTmp);
}
else
{
return(dVal);
}
}));
//stats = new DescriptiveStatistics(dmTmp.Values);
//double dataMean = stats.Mean;
//double standDev = stats.StandardDeviation;
//double deviationMargin = sigmaCount * standDev;
////dmRes.MapInplace(new Func<double, double>((x) => { return Math.Pow(x, sigmaCount); }));
////stats = new DescriptiveStatistics(dmRes.Values);
//dmRes.MapInplace(new Func<double,double>((dVal) =>
//{
// if (Math.Abs(dVal - dataMean) > deviationMargin)
// {
// //double theSign = (dVal - dataMean)/Math.Abs(dVal - dataMean);
// return dataMean;
// }
// else return dVal;
//}));
res.DmImageComponent = dmTmp.Copy();
}
else
{
res.dNumber = a.dNumber;
}
return(res);
}
private ImageOperationalValue ImageOperationalValueDDY(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmOrig = (DenseMatrix)a.DmImageComponent.Clone();
DenseMatrix dmyPlus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmyPlus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row < dmyPlus1.RowCount - 1)
{
return(dmOrig[row + 1, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmyMinus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmyMinus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row > 0)
{
return(dmOrig[row - 1, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmGradY = dmyPlus1 - dmyMinus1;
//dmGradY.MapInplace(new Func<double, double>(x => x/2.0d));
dmGradY = (DenseMatrix)dmGradY.Multiply(0.5d);
dmyPlus1 = null;
ServiceTools.FlushMemory();
res.DmImageComponent = dmGradY;
dmGradY = null;
ServiceTools.FlushMemory();
}
else
{
res.dNumber = 0.0d;
}
return(res);
}
private ImageOperationalValue ImageOperationalValueDDX(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmOrig = (DenseMatrix)a.DmImageComponent.Clone();
DenseMatrix dmxPlus1 = (DenseMatrix)a.DmImageComponent.Clone();
DenseMatrix dmxMinus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmxPlus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column < dmxPlus1.ColumnCount - 1)
{
return(dmOrig[row, column + 1]);
}
else
{
return(val);
}
}));
dmxMinus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column > 0)
{
return(dmOrig[row, column - 1]);
}
else
{
return(val);
}
}));
DenseMatrix dmGradX = dmxPlus1 - dmxMinus1;
dmGradX.MapInplace(new Func <double, double>(x => x / 2.0d));
dmxPlus1 = null;
ServiceTools2G.FlushMemory();
res.DmImageComponent = dmGradX;
dmGradX = null;
ServiceTools2G.FlushMemory();
}
else
{
res.dNumber = 0.0d;
}
return(res);
}
private ImageOperationalValue ImageOperationalValuePow(ImageOperationalValue a, double powerExponent)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmRes = (DenseMatrix)a.DmImageComponent.Clone();
dmRes.MapInplace(new Func <double, double>((x) => { return(Math.Pow(x, powerExponent)); }));
res.DmImageComponent = dmRes;
}
else
{
res.dNumber = Math.Pow(a.dNumber, powerExponent);
}
return(res);
}
private ImageOperationalValue ImageOperationalValueMean(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmResLocal = (DenseMatrix)a.DmImageComponent.Clone();
DescriptiveStatistics stat = new DescriptiveStatistics(dmResLocal.Values);
res.dNumber = stat.Mean;
ServiceTools2G.FlushMemory();
}
else
{
res.dNumber = a.dNumber;
}
return(res);
}
private ImageOperationalValue ImageOperationalValueSqrt(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmResLocal = (DenseMatrix)a.DmImageComponent.Clone();
dmResLocal.MapInplace(new Func <double, double>((val) => Math.Pow(val, 0.5d)));
res.DmImageComponent = dmResLocal;
ServiceTools2G.FlushMemory();
}
else
{
res.dNumber = Math.Sqrt(a.dNumber);
}
return(res);
}
private ImageOperationalValue ImageOperationalValueAbs(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmResLocal = (DenseMatrix)a.DmImageComponent.Clone();
dmResLocal.MapInplace((val) => Math.Abs(val));
res.DmImageComponent = dmResLocal;
ServiceTools.FlushMemory();
}
else
{
res.dNumber = Math.Abs(a.dNumber);
}
return(res);
}
//b + a
private ImageOperationalValue ImageOperationalValueAdd(ImageOperationalValue a, ImageOperationalValue b)
{
ImageOperationalValue summ = new ImageOperationalValue();
if ((a.operandType() == OperandTypes.DenseMatrix) && (b.operandType() == OperandTypes.DenseMatrix))
{
summ.DmImageComponent = a.DmImageComponent + b.DmImageComponent;
}
else if ((a.operandType() == OperandTypes.DenseMatrix) && (b.operandType() == OperandTypes.DoubleValue))
{
summ.DmImageComponent = a.DmImageComponent + matrixWithValue(a.DmImageComponent, b.dNumber);
}
else if ((b.operandType() == OperandTypes.DenseMatrix) && (a.operandType() == OperandTypes.DoubleValue))
{
summ.DmImageComponent = b.DmImageComponent + matrixWithValue(b.DmImageComponent, a.dNumber);
}
return(summ);
}
//b * a
private ImageOperationalValue ImageOperationalValueMult(ImageOperationalValue a, ImageOperationalValue b)
{
ImageOperationalValue summ = new ImageOperationalValue();
if ((a.operandType() == OperandTypes.DenseMatrix) && (b.operandType() == OperandTypes.DenseMatrix))
{
summ.DmImageComponent = (DenseMatrix)b.DmImageComponent.PointwiseMultiply(a.DmImageComponent);
}
else if ((a.operandType() == OperandTypes.DenseMatrix) && (b.operandType() == OperandTypes.DoubleValue))
{
summ.DmImageComponent = (DenseMatrix)a.DmImageComponent.PointwiseMultiply(matrixWithValue(a.DmImageComponent, b.dNumber));
}
else if ((b.operandType() == OperandTypes.DenseMatrix) && (a.operandType() == OperandTypes.DoubleValue))
{
summ.DmImageComponent = (DenseMatrix)b.DmImageComponent.PointwiseMultiply(matrixWithValue(b.DmImageComponent, a.dNumber));
}
return(summ);
}
private ImageOperationalValue ImageOperationalValueGrad5p(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmOrig = a.DmImageComponent.Copy();
DenseMatrix dmyPlus1 = a.DmImageComponent.Copy();
dmyPlus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row < dmyPlus1.RowCount - 1)
{
return(dmOrig[row + 1, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmyPlus2 = a.DmImageComponent.Copy();
dmyPlus2.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row < dmyPlus2.RowCount - 2)
{
return(dmOrig[row + 2, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmyMinus1 = a.DmImageComponent.Copy();
dmyMinus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row > 1)
{
return(dmOrig[row - 1, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmyMinus2 = a.DmImageComponent.Copy();
dmyMinus2.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row > 2)
{
return(dmOrig[row - 2, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmGradY = dmyMinus2 - 8.0d * dmyMinus1 + 8.0d * dmyPlus1 - dmyPlus2;
dmGradY.MapInplace(x => x / 12.0d);
dmyPlus1 = null;
dmyMinus1 = null;
dmyPlus2 = null;
dmyMinus2 = null;
ServiceTools2G.FlushMemory();
DenseMatrix dmxPlus1 = a.DmImageComponent.Copy();
dmxPlus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column < dmxPlus1.ColumnCount - 1)
{
return(dmOrig[row, column + 1]);
}
else
{
return(val);
}
}));
DenseMatrix dmxPlus2 = a.DmImageComponent.Copy();
dmxPlus2.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column < dmxPlus2.ColumnCount - 2)
{
return(dmOrig[row, column + 2]);
}
else
{
return(val);
}
}));
DenseMatrix dmxMinus1 = a.DmImageComponent.Copy();
dmxMinus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column > 1)
{
return(dmOrig[row, column - 1]);
}
else
{
return(val);
}
}));
DenseMatrix dmxMinus2 = a.DmImageComponent.Copy();
dmxMinus2.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column > 2)
{
return(dmOrig[row, column - 2]);
}
else
{
return(val);
}
}));
DenseMatrix dmGradX = dmxMinus2 - 8.0d * dmxMinus1 + 8.0d * dmxPlus1 - dmxPlus2;
dmGradX.MapInplace(x => x / 12.0d);
dmxPlus1 = null;
dmxMinus1 = null;
dmxMinus2 = null;
dmxPlus2 = null;
ServiceTools2G.FlushMemory();
res.lDMOtherComponents = new List <DenseMatrix>()
{
dmGradX, dmGradY
};
ServiceTools2G.FlushMemory();
}
else
{
res.dNumber = 0.0d;
}
return(res);
}
private ImageOperationalValue ImageOperationalValueGrad(ImageOperationalValue a)
{
ImageOperationalValue res = new ImageOperationalValue();
if (a.operandType() == OperandTypes.DenseMatrix)
{
DenseMatrix dmOrig = (DenseMatrix)a.DmImageComponent.Clone();
DenseMatrix dmyPlus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmyPlus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row < dmyPlus1.RowCount - 1)
{
return(dmOrig[row + 1, column]);
}
else
{
return(val);
}
}));
DenseMatrix dmyMinus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmyMinus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (row > 1)
{
return(dmOrig[row - 1, column]);
}
else
{
return(val);
}
}));
//DenseMatrix dmRes = DenseMatrix.Create(dmyPlus1.RowCount, dmyPlus1.ColumnCount, new Func<int,int,double>((x, y) => 0.0d));
DenseMatrix dmGradY = (dmyPlus1 - dmyMinus1);
dmGradY.MapInplace(new Func <double, double>(x => x / 2.0d));
//dmGradY.MapInplace(new Func<double,double>((val) => val/2.0d));
dmyPlus1 = null;
//dmyMinus1 = null;
ServiceTools2G.FlushMemory();
DenseMatrix dmxPlus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmxPlus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column < dmxPlus1.ColumnCount - 1)
{
return(dmOrig[row, column + 1]);
}
else
{
return(val);
}
}));
DenseMatrix dmxMinus1 = (DenseMatrix)a.DmImageComponent.Clone();
dmxMinus1.MapIndexedInplace(new Func <int, int, double, double>((row, column, val) =>
{
if (column > 1)
{
return(dmOrig[row, column - 1]);
}
else
{
return(val);
}
}));
DenseMatrix dmGradX = dmxPlus1 - dmxMinus1;
dmGradX.MapInplace(new Func <double, double>(x => x / 2.0d));
//dmGradX.MapInplace(new Func<double, double>((val) => val/2.0d));
dmxPlus1 = null;
//dmxMinus1 = null;
ServiceTools2G.FlushMemory();
dmGradY.MapInplace(new Func <double, double>((val) => val * val));
dmGradX.MapInplace(new Func <double, double>((val) => val * val));
DenseMatrix dmRes = dmGradX + dmGradY;
dmRes.MapInplace(new Func <double, double>(val => Math.Sqrt(val)));
//dmRes.MapIndexedInplace(new Func<int,int,double,double>((x, y, val) => { return x+y; }));
res.DmImageComponent = dmRes;
dmGradY = null;
dmGradX = null;
ServiceTools2G.FlushMemory();
}
else
{
res.dNumber = 0.0d;
}
return(res);
}
public void RPNeval(bool forceUsingDistributedMatrixes = false)
{
dmRes = null;
resValue = 0.0d;
String input = exprString; //.Replace(" ", "");
if (!forceUsingDistributedMatrixes)
{
if (dmR == null)
{
dmR = ImageProcessing2G.DenseMatrixFromImage(imgR);
}
if (dmG == null)
{
dmG = ImageProcessing2G.DenseMatrixFromImage(imgG);
}
if (dmB == null)
{
dmB = ImageProcessing2G.DenseMatrixFromImage(imgB);
}
dmY = sRGBluminanceFrom_sRGB(dmR, dmG, dmB);
}
PostfixNotation rpn = new PostfixNotation();
string[] converted2RPN = rpn.ConvertToPostfixNotation(input);
Stack <ImageOperationalValue> stack = new Stack <ImageOperationalValue>();
Queue <string> queue = new Queue <string>(converted2RPN);
string str = queue.Dequeue();
while (queue.Count >= 0)
{
if (!rpn.operators.Contains(str))
{
pushImageToStackByColorChar(stack, str);
if (queue.Count > 0)
{
try
{
str = queue.Dequeue();
}
catch (Exception)
{
break;
}
}
else
{
break;
}
}
else
{
ImageOperationalValue summ = null;
try
{
switch (str)
{
case "+":
{
ImageOperationalValue a = stack.Pop();
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValueAdd(a, b); // b + a
ServiceTools2G.FlushMemory(null, "");
break;
}
case "-":
{
ImageOperationalValue a = stack.Pop();
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValueSubtract(a, b); // b - a
ServiceTools2G.FlushMemory(null, "");
break;
}
case "*":
{
ImageOperationalValue a = stack.Pop();
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValueMult(a, b); // b * a
ServiceTools2G.FlushMemory(null, "");
break;
}
case "/":
{
ImageOperationalValue a = stack.Pop();
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValueDivide(a, b); // b / a
ServiceTools2G.FlushMemory(null, "");
break;
}
case "^":
{
double a = stack.Pop().dNumber;
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValuePow(b, a); // b ^ a
ServiceTools2G.FlushMemory(null, "");
break;
}
case "grad":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueGrad(a); // grad(a)
ServiceTools2G.FlushMemory(null, "");
break;
}
case "grad5p":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueGrad5p(a); // grad 5-point(a)
ServiceTools2G.FlushMemory(null, "");
break;
}
case "ddx":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueDDX(a); // d(a)/dx
ServiceTools2G.FlushMemory(null, "");
break;
}
case "ddy":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueDDY(a); // d(a)/dy
ServiceTools2G.FlushMemory(null, "");
break;
}
case "sqrt":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueSqrt(a); // grad(a)
ServiceTools2G.FlushMemory(null, "");
break;
}
case "mean":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueMean(a); // mean(a)
ServiceTools2G.FlushMemory(null, "");
break;
}
case "stddev":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueSigm(a); // mean(a)
ServiceTools2G.FlushMemory(null, "");
break;
}
case "abs":
{
ImageOperationalValue a = stack.Pop();
summ = ImageOperationalValueAbs(a); // abs(a)
ServiceTools2G.FlushMemory(null, "");
break;
}
case "%":
{
double a = stack.Pop().dNumber;
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValueCut(b, a); // b cut a - cuts "b" matrix elements using "a"*sigma limit of distribution. remember 3-sigma rule?
ServiceTools2G.FlushMemory(null, "");
break;
}
case "smoothcos":
{
double a = stack.Pop().dNumber;
ImageOperationalValue b = stack.Pop();
summ = ImageOperationalValueSmoothCos(b, a); // b cut a - cuts "b" matrix elements using "a"-nodes spreading cos-based kernel
ServiceTools2G.FlushMemory(null, "");
break;
}
default:
break;
}
}
catch (Exception ex)
{
throw ex;
}
stack.Push(summ);
if (queue.Count > 0)
{
str = queue.Dequeue();
}
else
{
break;
}
}
}
//return Convert.ToDecimal(stack.Pop());
ImageOperationalValue theResult = stack.Pop();
dmRes = theResult.DmImageComponent;
resValue = theResult.dNumber;
lDMRes = theResult.lDMOtherComponents;
if (dmRes != null)
{
minValue = dmRes.Values.Min();
maxValue = dmRes.Values.Max();
}
else
{
minValue = resValue;
maxValue = resValue;
}
//ThreadSafeOperations.SetTextTB(tbLog, Environment.NewLine + "min value: " + Math.Round(minValue, 2).ToString(), false);
//ThreadSafeOperations.SetTextTB(tbLog, "max value: " + Math.Round(maxValue, 2).ToString(), true);
ServiceTools2G.FlushMemory(null, "");
}
