private void Separate(object parameter)
{
int rows = anomalyData.GetLength(0);
int cols = anomalyData.GetLength(1);
int index = Convert.ToInt32(parameter);
if (index == 0)
{
resultData = Separation.TrendAnalysis(anomalyData, power);
}
else if (index == 1)
{
resultData = Separation.FilterTrendAnalysis(anomalyData, FiltData, power);
}
else if (index == 2)
{
resultData = Separation.InterpolateCut(anomalyData, expendMethod, radius, times);
}
else if (index == 3)
{
resultData = Separation.MoveAverage(anomalyData, secondData, expendMethod, radiusMin, radiusMax, radiusTick, out int bestRadius);
Radius = bestRadius;
}
else if (index == 4)
{
resultData = Separation.MoveAverage(anomalyData, expendMethod, radius);
}
else if (index == 5)
{
resultData = Separation.FilterMoveAverage(anomalyData, FiltData, expendMethod, radius);
}
else if (index == 6)
{
resultData = FiltData;
}
else if (index == 7)
{
resultData = Separation.FilterProject(anomalyData, expendMethod, project);
}
else if (index == 8)
{
resultData = EdgeDetection.ExpandRestore(FFT.idft_2D(EdgeDetection.延拓(FrqData, 延拓高度)).GetRe());
}
var zmin = EdgeDetection.GetDataMin(resultData);
var zmax = EdgeDetection.GetDataMax(resultData);
ResultMin = zmin;
ResultMax = zmax;
ResultMap = GetMap(resultData, zmin, zmax);
if (index != 6)
{
secondResultData = new double[rows, cols];
for (int i = 0; i < rows; i++)
{
for (int j = 0; j < cols; j++)
{
secondResultData[i, j] = anomalyData[i, j] - resultData[i, j];
}
}
}
else
{
secondResultData = Separation.AverageFill(resultData);
}
zmin = EdgeDetection.GetDataMin(secondResultData);
zmax = EdgeDetection.GetDataMax(secondResultData);
SecondResultMin = zmin;
SecondResultMax = zmax;
SecondResultMap = GetMap(secondResultData, zmin, zmax);
}