unsafe void ProcessImage()
{
var width = _camera.CameraXSize;
var height = _camera.CameraYSize;
var max = 0;
var starPeakAdu = 0;
var pixels = GetCameraAs16Bits(width, height, out max);
var scale = (double)ushort.MaxValue / max;
var maxAdu = _camera.MaxADU;
var peakAdu = maxAdu; // maxAdu * scale;
var mat = new Mat(height, width, MatType.CV_16UC1, pixels);
var mat2 = mat.GaussianBlur(new OpenCvSharp.Size(5, 5), 0, 0, BorderTypes.Default);
if (backgroundLevel == 0)
{
backgroundLevel = Math.Round(Photometry.FindSkyBackgroundIntensity(pixels) * 1.5);
Dispatcher.Invoke(() =>
{
blackLevel.Text = backgroundLevel.ToString();
});
}
mat2 = mat2.Threshold(backgroundLevel, ushort.MaxValue, ThresholdTypes.Binary);
var mat3 = new Mat();
mat2.ConvertTo(mat3, MatType.CV_8UC1);
var contours = mat3.FindContoursAsMat(RetrievalModes.List, ContourApproximationModes.ApproxSimple);
//mat.DrawContours(contours, -1, new Scalar(ushort.MaxValue), thickness: 2);
var found = contours.Length;
var sat = 0;
var w = 0.0;
var error = 0.0;
StarInfo star = null;
GaussianFitOptions fitOptions = GaussianFitOptions.Default;
var graph = new Mat(256, 256, MatType.CV_8UC1);
foreach (var contour in contours)
{
Point2f center;
float radius;
contour.MinEnclosingCircle(out center, out radius);
graph.SetTo(new Scalar(0));
if (_clicked != null)
{
var clickDistance = (center.X - _clicked.Value.X) * (center.X - _clicked.Value.X) + (center.Y - _clicked.Value.Y) * (center.Y - _clicked.Value.Y);
if (clickDistance < radius * radius)
{
var mass = 0;
var peakX = 0;
var peakY = 0;
Photometry.FindStarMassAndPeak(pixels, width, height, center.X, center.Y, radius, peakAdu, out mass, out starPeakAdu, out peakX, out peakY);
fitOptions.Radius = (int)radius * 2;
peakX = (int)center.X;
peakY = (int)center.Y;
if (starPeakAdu == peakAdu)
{
sat++;
}
star = new StarInfo {
Peak = starPeakAdu, X = peakX, Y = peakY
};
var fit = Photometry.FindStarGaussianPSF(pixels, width, height, star, -1, GaussianFitOptions.Default);
w = Photometry.GetFullWidthHalfMaximum(fit.Width);
error = Photometry.GaussianFitError(star.Peak, fit.Width, pixels, width, height, star, GaussianFitOptions.Default);
var samples = new List <Tuple <double, double> >();
for (var x = star.X - fitOptions.Radius; x < star.X + fitOptions.Radius; x++)
{
for (var y = star.Y - fitOptions.Radius; y < star.Y + fitOptions.Radius; y++)
{
var distance = (double)((x - star.X) * (x - star.X) + (y - star.Y) * (y - star.Y));
var r = fitOptions.Radius / 2 * fitOptions.Radius / 2;
if (distance < r)
{
distance = Math.Sqrt(distance);
if (x < star.X)
{
distance *= -1;
}
samples.Add(new Tuple <double, double>(distance, pixels[y * width + x]));
}
}
}
var distances = samples.Select(x => x.Item1);
var minX = distances.Min();
var maxX = distances.Max();
var amplitudes = samples.Select(x => x.Item2);
var minY = amplitudes.Min();
var maxY = amplitudes.Max();
var scaleX = 160.0 / (maxX - minX);
var scaleY = 200.0 / (maxY - minY);
foreach (var sample in samples)
{
var x = 49 + (sample.Item1 - minX) * scaleX;
var y = 29 + (sample.Item2 - minY) * scaleY;
graph.Set <byte>(256 - (int)y, (int)x, byte.MaxValue);
}
var lastY = -1;
for (var x2 = minX; x2 < maxX; x2 += .01)
{
var distance = x2;
var y2 = Photometry.GaussianAmplitudeFromPSF(distance * distance, starPeakAdu, fit.Width);
//if (lastY == -1)
//{
lastY = (int)y2;
//}
var x = 49 + (x2 - minX) * scaleX;
var y = 29 + (y2 - minY) * scaleY;
var y3 = 29 + (lastY - minY) * scaleY;
if (lastY > y)
{
for (var yi = (int)y; yi < y3; yi++)
{
graph.Set(256 - yi, (int)x, byte.MaxValue);
}
}
else
{
for (var yi = (int)y3; yi < y; yi++)
{
graph.Set(256 - yi, (int)x, byte.MaxValue);
}
}
lastY = (int)y2;
}
break;
}
}
// draw saturated pixels only
//mat = mat.Threshold(peakAdu-1, peakAdu, ThresholdTypes.Binary);
//mat.Circle(center, (int)radius, new Scalar(ushort.MaxValue), thickness: 2);
}
Dispatcher.Invoke(() =>
{
stars.Content = found;
fwhm.Content = Math.Round(w, 2);
starPeak.Content = starPeakAdu;
fitError.Content = error;
mat *= scale;
if (star != null)
{
var rect = new OpenCvSharp.Rect(star.X - fitOptions.Radius, star.Y - fitOptions.Radius, fitOptions.Radius * 2, fitOptions.Radius * 2);
var sub2 = new Mat(fitOptions.Radius, fitOptions.Radius, MatType.CV_16SC1);
var sub = new Mat(mat, rect);
sub.CopyTo(sub2);
sub2 = sub2.Resize(new OpenCvSharp.Size(256, 256), 0, 0, InterpolationFlags.Area);
sub2 -= backgroundLevel * scale;
saturated.Content = sat > 0 ? "Yes" : "No";
focus.Source = sub2.ToWriteableBitmap();
plot.Source = graph.ToWriteableBitmap();
}
preview.Source = mat.ToWriteableBitmap();
});
}