private void RecomputeData()
{
NumericUpDown[] targetApertures = new NumericUpDown[] { nudAperture1, nudAperture2, nudAperture3, nudAperture4 };
NumericUpDown[] targetFitAreas = new NumericUpDown[] { nudFitArea1, nudFitArea2, nudFitArea3, nudFitArea4 };
PictureBox[] psfBoxes = new PictureBox[] { picTarget1PSF, picTarget2PSF, picTarget3PSF, picTarget4PSF };
MeasurementsHelper measurer = new MeasurementsHelper(
m_Context.BitPix,
m_Context.BackgroundMethod,
TangraConfig.Settings.Photometry.SubPixelSquareSize,
TangraConfig.Settings.Photometry.Saturation.GetSaturationForBpp(m_Context.BitPix, m_Context.MaxPixelValue));
for (int i = 0; i < m_Header.ObjectCount; i++)
{
// Apply the selected filter, compute the PSF and then draw the data
LCMeasurement reading = m_SelectedMeasurements[i];
if (!LCMeasurement.IsEmpty(reading))
{
LCMeasurement updatedReading = reading.Clone();
int x0Int = (int)Math.Round(reading.X0);
int y0Int = (int)Math.Round(reading.Y0);
updatedReading.PsfFit = new PSFFit(x0Int, y0Int);
updatedReading.PsfFit.FittingMethod = PSFFittingMethod.NonLinearFit;
int pixelDataWidth = updatedReading.PixelData.GetLength(0);
int pixelDataHeight = updatedReading.PixelData.GetLength(1);
updatedReading.PsfFit.Fit(
updatedReading.PixelData,
m_Footer.TrackedObjects[updatedReading.TargetNo].PsfFitMatrixSize,
x0Int - updatedReading.PixelDataX0 + (pixelDataWidth / 2) + 1,
y0Int - updatedReading.PixelDataY0 + (pixelDataHeight / 2) + 1,
false);
int fitArea = (int)targetFitAreas[i].Value;
measurer.FindBestFit(
reading.X0, reading.Y0,
GetCurrentFilter(), reading.PixelData, m_Context.BitPix,
ref fitArea, m_Header.FixedApertureFlags[i]);
updatedReading.PsfFit = measurer.FoundBestPSFFit;
updatedReading.PixelData = measurer.PixelData;
m_SelectedMeasurements[i] = updatedReading;
psfBoxes[reading.TargetNo].Visible = true;
PlotSingleGaussian(
psfBoxes[reading.TargetNo],
updatedReading,
m_AllBrushes,
(float)targetApertures[i].Value,
m_Footer.ReductionContext.BitPix);
}
}
}
internal void HandleNewSelectedFrame(LCMeasurement[] selectedMeasurements)
{
m_SelectedMeasurements = selectedMeasurements;
if (m_SelectedMeasurements != null)
{
for (int i = 0; i < m_SelectedMeasurements.Length; i++)
{
LCMeasurement reading = m_SelectedMeasurements[i];
if (!LCMeasurement.IsEmpty(reading) &&
reading.TargetNo >= 0 &&
reading.TargetNo <= 3)
{
LCMeasurement updatedReading = reading.Clone();
int x0Int = (int)Math.Round(reading.X0);
int y0Int = (int)Math.Round(reading.Y0);
updatedReading.PsfFit = new PSFFit(x0Int, y0Int);
updatedReading.PsfFit.FittingMethod = PSFFittingMethod.NonLinearFit;
int pixelDataWidth = updatedReading.PixelData.GetLength(0);
int pixelDataHeight = updatedReading.PixelData.GetLength(1);
uint[,] pixelData = GetPixelData(updatedReading.PixelData);
updatedReading.PsfFit.Fit(
pixelData,
m_LCFile.Footer.TrackedObjects[updatedReading.TargetNo].PsfFitMatrixSize,
x0Int - updatedReading.PixelDataX0 + (pixelDataWidth / 2) + 1,
y0Int - updatedReading.PixelDataY0 + (pixelDataHeight / 2) + 1,
false);
PlotSingleGaussian(
m_TargetBoxes[reading.TargetNo],
updatedReading,
m_DisplaySettings.TargetBrushes,
m_LCFile.Footer.TrackedObjects[updatedReading.TargetNo].ApertureInPixels,
m_LCFile.Footer.ReductionContext.BitPix);
}
else
{
Bitmap bmp = m_TargetBoxes[i].Image as Bitmap;
if (bmp != null)
{
using (Graphics g = Graphics.FromImage(bmp))
{
g.Clear(m_DisplaySettings.BackgroundColor);
g.Save();
}
}
m_TargetBoxes[i].Refresh();
}
}
}
}
private void PlotGaussians()
{
PictureBox[] psfBoxes = new PictureBox[] { picTarget1PSF, picTarget2PSF, picTarget3PSF, picTarget4PSF };
NumericUpDown[] targetApertures = new NumericUpDown[] { nudAperture1, nudAperture2, nudAperture3, nudAperture4 };
Label[] fwhmLabels = new Label[] { lblFWHM1, lblFWHM2, lblFWHM3, lblFWHM4 };
for (int i = 0; i < m_SelectedMeasurements.Length; i++)
{
LCMeasurement reading = m_SelectedMeasurements[i];
if (!LCMeasurement.IsEmpty(reading) &&
reading.TargetNo >= 0 &&
reading.TargetNo <= 3)
{
LCMeasurement updatedReading = reading.Clone();
int x0Int = (int)Math.Round(reading.X0);
int y0Int = (int)Math.Round(reading.Y0);
updatedReading.PsfFit = new PSFFit(x0Int, y0Int);
updatedReading.PsfFit.FittingMethod = PSFFittingMethod.NonLinearFit;
int pixelDataWidth = updatedReading.PixelData.GetLength(0);
int pixelDataHeight = updatedReading.PixelData.GetLength(1);
updatedReading.PsfFit.Fit(
updatedReading.PixelData,
m_Footer.TrackedObjects[updatedReading.TargetNo].PsfFitMatrixSize,
x0Int - updatedReading.PixelDataX0 + (pixelDataWidth / 2) + 1,
y0Int - updatedReading.PixelDataY0 + (pixelDataHeight / 2) + 1,
false);
psfBoxes[reading.TargetNo].Visible = true;
PlotSingleGaussian(
psfBoxes[reading.TargetNo],
updatedReading,
m_AllBrushes,
(float)targetApertures[i].Value,
m_Footer.ReductionContext.BitPix);
fwhmLabels[updatedReading.TargetNo].Text =
string.Format("{0} px = {1} FWHM",
targetApertures[updatedReading.TargetNo].Value.ToString("0.00"),
((double)targetApertures[updatedReading.TargetNo].Value / updatedReading.PsfFit.FWHM).ToString("0.0"));
}
else
{
psfBoxes[i].Visible = false;
fwhmLabels[i].Text = string.Empty;
}
}
}
internal void HandleNewSelectedFrame(LCMeasurement[] selectedMeasurements)
{
m_SelectedMeasurements = selectedMeasurements;
if (m_SelectedMeasurements != null)
{
for (int i = 0; i < m_SelectedMeasurements.Length; i++)
{
LCMeasurement reading = m_SelectedMeasurements[i];
if (!LCMeasurement.IsEmpty(reading) &&
reading.TargetNo >= 0 &&
reading.TargetNo <= 3)
{
LCMeasurement updatedReading = reading.Clone();
int pixelDataWidth = updatedReading.PixelData.GetLength(0);
int pixelDataHeight = updatedReading.PixelData.GetLength(1);
Dictionary <uint, int> histogram = new Dictionary <uint, int>();
for (uint j = 0; j <= m_Context.MaxPixelValue; j++)
{
histogram.Add(j, 0);
}
for (int x = 0; x < pixelDataWidth; x++)
{
for (int y = 0; y < pixelDataHeight; y++)
{
histogram[updatedReading.PixelData[x, y]]++;
}
}
// TODO: Plot the histogram, then the values for the PSF, Average and Background Mode on it
int x0Int = (int)Math.Round(reading.X0);
int y0Int = (int)Math.Round(reading.Y0);
updatedReading.PsfFit = new PSFFit(x0Int, y0Int);
updatedReading.PsfFit.FittingMethod = PSFFittingMethod.NonLinearFit;
updatedReading.PsfFit.Fit(
updatedReading.PixelData,
m_LCFile.Footer.TrackedObjects[updatedReading.TargetNo].PsfFitMatrixSize,
x0Int - updatedReading.PixelDataX0 + (pixelDataWidth / 2) + 1,
y0Int - updatedReading.PixelDataY0 + (pixelDataHeight / 2) + 1,
false);
double psfBackground = updatedReading.PsfFit.I0;
float aperture = m_Context.ReProcessApertures[reading.TargetNo];
List <uint> allKeys = histogram.Keys.ToList();
foreach (uint key in allKeys)
{
histogram[key] = (int)Math.Round(100 * Math.Log(histogram[key] + 1));
}
DrawHistogram(m_TargetBoxes[reading.TargetNo], histogram);
}
}
}
}