示例#1
0
        private void LocateStarsWithStarRecognition(IAstroImage astroImage)
        {
            EnsureComputedRefinedData();

            if (m_MinLocateDistance > 8)
            {
                if (!LightCurveReductionContext.Instance.WindOrShaking)
                {
                    //TODO: If the wind flag is not set, then use a 3 frame binned integration to locate the stars on
                }

                uint[,] pixels = astroImage.GetPixelsCopy();

                List <PotentialStarStruct> peakPixels = new List <PotentialStarStruct>();
                AutoDiscoveredStars.Clear();
                AutoDiscoveredStars = StarFinder.GetStarsInArea(
                    ref pixels, astroImage.BitPix, astroImage.MaxSignalValue, TangraConfig.PreProcessingFilter.NoFilter, peakPixels, null,
                    (uint)Math.Round(TangraConfig.Settings.Special.LostTrackingMinSignalCoeff * m_MinLocateSignal),
                    TangraConfig.Settings.Special.LostTrackingMinDistance, false,
                    LightCurveReductionContext.Instance.OSDFrame, ReducePeakPixels);

                Stopwatch sw = new Stopwatch();
                sw.Start();
                if (m_LocateObjects.Count == 1 &&
                    AutoDiscoveredStars.Count == 1)
                {
                    LocateSingleStarsWithStarRecognition(AutoDiscoveredStars, astroImage);
                }
                else if (
                    m_LocateObjects.Count == 2 &&
                    peakPixels.Count > 1)
                {
                    LocateTwoStarsWithStarRecognition(peakPixels, astroImage, pixels);
                }
                else if (
                    m_LocateObjects.Count > 2 &&
                    peakPixels.Count > 1)
                {
                    List <TrackedObject> goodTrackedObjects = TrackedObjects.Cast <TrackedObject>().ToList().FindAll(t => t.LastKnownGoodPosition != null);
                    if (goodTrackedObjects.Count < 2)
                    {
                        // We don't have at least one good pair. Fail.
                    }
                    else if (goodTrackedObjects.Count >= 2)
                    {
                        goodTrackedObjects.Sort((a, b) =>
                                                Math.Min(b.LastKnownGoodPosition.XDouble, b.LastKnownGoodPosition.YDouble).CompareTo(
                                                    Math.Min(a.LastKnownGoodPosition.XDouble, a.LastKnownGoodPosition.YDouble)));

                        Trace.WriteLine(string.Format("StarRecognitionDistanceBasedLocation: Using objects {0} and {1}", goodTrackedObjects[0].TargetNo, goodTrackedObjects[1].TargetNo));
                        // There is only 1 good pair so fallback to using 2 star recognition
                        LocateTwoStarsWithStarRecognition(peakPixels, astroImage, pixels, goodTrackedObjects[0], goodTrackedObjects[1]);
                    }
                }

                sw.Stop();
                Trace.WriteLine(string.Format("StarRecognitionDistanceBasedLocation: {0} sec", sw.Elapsed.TotalSeconds.ToString("0.00")));
            }
        }
示例#2
0
        private bool GetFitInMatrix(ITrackedObjectPsfFit gaussian, ref int matirxSize, float preselectedAperture)
        {
            rbGuidingStar.Text = "Guiding/Comparison Star";
            m_IsBrightEnoughForAutoGuidingStar = false;

            if (m_Aperture == null)
            {
                if (gaussian != null && !double.IsNaN(gaussian.FWHM) && TangraConfig.Settings.Photometry.SignalApertureUnitDefault == TangraConfig.SignalApertureUnit.FWHM)
                {
                    m_Aperture = (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture);
                }
                else
                {
                    m_Aperture = (float)(TangraConfig.Settings.Photometry.DefaultSignalAperture);
                }
            }
            else if (
                gaussian != null && !double.IsNaN(gaussian.FWHM) && TangraConfig.Settings.Photometry.SignalApertureUnitDefault == TangraConfig.SignalApertureUnit.FWHM &&
                m_Aperture < (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture))
            {
                m_Aperture = (float)(gaussian.FWHM * TangraConfig.Settings.Photometry.DefaultSignalAperture);
            }

            nudFitMatrixSize.ValueChanged -= nudFitMatrixSize_ValueChanged;
            try
            {
                uint[,] autoStarsPixels = m_AstroImage.GetMeasurableAreaPixels(m_Center.X, m_Center.Y, 35);
                m_AutoStarsInLargerArea = StarFinder.GetStarsInArea(
                    ref autoStarsPixels,
                    m_AstroImage.Pixelmap.BitPixCamera,
                    m_AstroImage.Pixelmap.MaxSignalValue,
                    m_AstroImage.MedianNoise,
                    LightCurveReductionContext.Instance.DigitalFilter);

                m_ProcessingPixels = ImageFilters.CutArrayEdges(autoStarsPixels, 9);
                m_DisplayPixels    = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(m_Center.X, m_Center.Y, 17);

                m_AutoStarsInArea = new List <PSFFit>();
                foreach (PSFFit autoStar in m_AutoStarsInLargerArea)
                {
                    if (autoStar.XCenter > 9 && autoStar.XCenter < 9 + 17 &&
                        autoStar.YCenter > 9 && autoStar.YCenter < 9 + 17)
                    {
                        // Don't change original star so use a clone
                        PSFFit clone = autoStar.Clone();
                        clone.SetNewFieldCenterFrom35PixMatrix(8, 8);
                        m_AutoStarsInArea.Add(clone);
                    }
                }

                int oldMatirxSize = matirxSize;

                if (m_AutoStarsInArea.Count == 0)
                {
                    rbGuidingStar.Text = "Guiding/Comparison Star";

                    // There are no stars that are bright enough. Simply let the user do what they want, but still try to default to a sensible aperture size
                    MeasurementsHelper measurement = ReduceLightCurveOperation.DoConfiguredMeasurement(m_ProcessingPixels, m_Aperture.Value, m_AstroImage.Pixelmap.BitPixCamera, m_AstroImage.Pixelmap.MaxSignalValue, 3.0, ref matirxSize);

                    if (measurement.FoundBestPSFFit != null &&
                        measurement.FoundBestPSFFit.IsSolved &&
                        measurement.FoundBestPSFFit.Certainty > 0.1)
                    {
                        m_X0   = measurement.XCenter;
                        m_Y0   = measurement.YCenter;
                        m_FWHM = (float)measurement.FoundBestPSFFit.FWHM;
                    }
                    else
                    {
                        m_X0   = 8;
                        m_Y0   = 8;
                        m_FWHM = 6;
                    }

                    m_Gaussian = null;
                    nudFitMatrixSize.SetNUDValue(11);
                }
                else if (m_AutoStarsInArea.Count == 1)
                {
                    // There is exactly one good star found. Go and do a fit in a wider area
                    double bestFindTolerance = 3.0;

                    for (int i = 0; i < 2; i++)
                    {
                        MeasurementsHelper measurement = ReduceLightCurveOperation.DoConfiguredMeasurement(m_ProcessingPixels, m_Aperture.Value, m_AstroImage.Pixelmap.BitPixCamera, m_AstroImage.Pixelmap.MaxSignalValue, bestFindTolerance, ref matirxSize);
                        if (measurement != null && matirxSize != -1)
                        {
                            if (matirxSize < 5)
                            {
                                // Do a centroid in the full area, and get another matix centered at the centroid
                                ImagePixel centroid = new ImagePixel(m_Center.X, m_Center.Y);

                                m_ProcessingPixels = m_AstroImage.GetMeasurableAreaPixels(centroid);
                                m_DisplayPixels    = m_AstroImage.GetMeasurableAreaDisplayBitmapPixels(centroid);

                                m_X0       = centroid.X;
                                m_Y0       = centroid.Y;
                                m_FWHM     = 6;
                                m_Gaussian = null;

                                nudFitMatrixSize.SetNUDValue(11);
                            }
                            else
                            {
                                m_X0 = measurement.XCenter;
                                m_Y0 = measurement.YCenter;
                                if (measurement.FoundBestPSFFit != null)
                                {
                                    m_FWHM     = (float)measurement.FoundBestPSFFit.FWHM;
                                    m_Gaussian = measurement.FoundBestPSFFit;
                                }
                                else
                                {
                                    m_FWHM     = 6;
                                    m_Gaussian = null;
                                }
                                m_ProcessingPixels = measurement.PixelData;
                                nudFitMatrixSize.SetNUDValue(matirxSize);
                            }
                        }
                        else
                        {
                            matirxSize = oldMatirxSize;
                            return(false);
                        }

                        if (m_Gaussian != null)
                        {
                            if (IsBrightEnoughtForGuidingStar())
                            {
                                rbGuidingStar.Text = "Guiding/Comparison Star";
                                m_IsBrightEnoughForAutoGuidingStar = true;
                            }

                            break;
                        }
                    }
                }
                else if (m_AutoStarsInArea.Count > 1)
                {
                    rbGuidingStar.Text = "Guiding/Comparison Star";

                    // There are more stars found.
                    double xBest = m_Gaussian != null
                                      ? m_Gaussian.XCenter
                                      : m_IsEdit ? ObjectToAdd.ApertureMatrixX0
                                                 : 8.5;

                    double yBest = m_Gaussian != null
                                      ? m_Gaussian.YCenter
                                      : m_IsEdit ? ObjectToAdd.ApertureMatrixY0
                                                 : 8.5;

                    // by default use the one closest to the original location
                    PSFFit closestFit  = m_AutoStarsInArea[0];
                    double closestDist = double.MaxValue;
                    foreach (PSFFit star in m_AutoStarsInArea)
                    {
                        double dist =
                            Math.Sqrt((star.XCenter - xBest) * (star.XCenter - xBest) +
                                      (star.YCenter - yBest) * (star.YCenter - yBest));
                        if (closestDist > dist)
                        {
                            closestDist = dist;
                            closestFit  = star;
                        }
                    }


                    m_X0       = (float)closestFit.XCenter;
                    m_Y0       = (float)closestFit.YCenter;
                    m_FWHM     = (float)closestFit.FWHM;
                    m_Gaussian = closestFit;

                    nudFitMatrixSize.SetNUDValue(m_IsEdit ? ObjectToAdd.PsfFitMatrixSize : closestFit.MatrixSize);
                }

                //if (m_Gaussian == null && gaussian.Certainty > 0.1 && ImagePixel.ComputeDistance(gaussian.X0_Matrix, 8, gaussian.Y0_Matrix, 8) < 3)
                //{
                //	// Id we failed to locate a bright enough autostar, but the default Gaussian is still certain enough and close enought to the center, we present it as a starting point
                //	m_X0 = (float)gaussian.X0_Matrix;
                //	m_Y0 = (float)gaussian.Y0_Matrix;
                //	m_FWHM = (float)gaussian.FWHM;
                //	m_Gaussian = gaussian;
                //}

                decimal appVal;
                if (float.IsNaN(preselectedAperture))
                {
                    if (float.IsNaN(m_Aperture.Value))
                    {
                        appVal = Convert.ToDecimal(TangraConfig.Settings.Photometry.DefaultSignalAperture);
                    }
                    else
                    {
                        appVal = Convert.ToDecimal(m_Aperture.Value);
                        if (nudAperture1.Maximum < appVal)
                        {
                            nudAperture1.Maximum = appVal + 1;
                        }
                    }
                }
                else
                {
                    appVal = (decimal)preselectedAperture;
                }

                if ((float)appVal > m_Aperture)
                {
                    m_Aperture = (float)appVal;
                }

                nudAperture1.SetNUDValue(Math.Round(appVal, 2));

                PlotSingleTargetPixels();

                PlotGaussian();

                return(true);
            }
            finally
            {
                nudFitMatrixSize.ValueChanged += nudFitMatrixSize_ValueChanged;
            }
        }