private List <TypeRaDec> CreateData2GridView(double[][] centerradac, double[][] RaDec, List <TypeKDTree> prediction, IDictionary <string, string> radec)
{
double ra = Angle.FromHms(radec["OBJCTRA"]).Degs;
double dec = Angle.FromDms(radec["OBJCTDEC"]).Degs;
var list = new List <TypeRaDec>();
for (int i = 0; i < centerradac.Length; i++)
{
//Console.WriteLine("[{0},{1}],", Math.Abs( centerradac[i][0] - 4096),Math.Abs( centerradac[i][1]- 4096));
double[] xy = MethodStaticFomula.StandardCoordi(centerradac[i][0], centerradac[i][1], ra, dec);
if (i < prediction.Count)
{
list.Add(
new TypeRaDec()
{
X = prediction[i].Nearest[0],
Y = prediction[i].Nearest[1],
Ra = RaDec[i][0],
Dec = RaDec[i][1],
Distand = prediction[i].Distand
});
}
}
return(list);
}
public EmguCv(string file)
{
FitFiles = new FitsFile(file);
MethodTranfrom Method = new MethodTranfrom(FitFiles.GenerateImage());
this.fomula = new MethodStaticFomula();
this.jpg = Genarate2Jpg(Method.GetRaw()); // Create JPGE
//this.raw = this.raw8bit.Mat.ToImage<Bgr, byte>();
//this.raw8bit = Method.Convert1628(); // Create Raw
}
private void PlatConstan()
{
int k = 0;
double[] radecl = MethodStaticFomula.StandardCoordi(ra: RaDec[0][0], dec: RaDec[0][1], radec[0], radec[1]);
PointRaDecPrediction = new double[result.Item5.Count][];
test = new MathRaDec(predictresultxy);
foreach (int[] i in result.Item5)
{
double[] re = test.Tranfrom2invert(i);
double[] resultPredict = MethodStaticFomula.InvertStandardCoordi(re[0], re[1], radec[0], radec[1]);
PointRaDecPrediction[k] = resultPredict;
k++;
}
}
private void button1_Click(object sender, EventArgs e)
{
progressBar1.Minimum = 0;
progressBar1.Maximum = 100;
Tuple <Image <Bgr, byte>, Image <Gray, byte>, IDictionary <string, string>, Image <Gray, byte>, VectorOfVectorOfPoint, List <int[]>, double[][]> result = this.objemgucv.SegmentionWatershed(10, false, TypeImage.JPG, centerRa2000GuessRads);
double[] resultcvt = Convert2180(centerRa2000GuessRads.RARadCen, centerRa2000GuessRads.DecRadCen);
database = (IFindFluent <GaiaInfo11, GaiaInfo11>)mongoLib.GeocenterSpherestring(resultcvt[0], resultcvt[1], 0.00396);
//t = (IFindFluent<GaiaInfo11, GaiaInfo11>)mongoLib.GeocenterSpherestring(0, 0, 0.01);
double[][] predictresultxy = mongoLib.XY2RaDec(data: result.Item6, radec: result.Item3);
double[][] dbresultxy = mongoLib.RaDec2XY(database, result.Item3);
double[][] RaDec = mongoLib.GetRaDec(data: database);
imageBox5.Image = result.Item4;
//label2.Text = Convert.ToString(centerRa2000GuessRads.NumPlate);
//Setup kdt
KDTreeCluster kdt = new KDTreeCluster(predictresultxy);
kdt.SetupNode(kdt.tree.Root.Left.Right);
int numberbar = 0;
for (int i = 0; i < dbresultxy.Length; i++)
{
KDTreeNodeCollection <KDTreeNode <int> > kdtfilter = kdt.FindWithNeighbors(dbresultxy[i], 1);
numberbar = ((i * 100) / dbresultxy.Length) + 2;
progressBar1.Value = numberbar;
label2.Text = String.Format("{0}%", numberbar.ToString());
if (kdtfilter.Minimum != 0)
{
kdt.Add(
new TypeKDTree()
{
Distand = kdtfilter.Minimum,
Nearest = kdtfilter.Nearest.Position,
Father = dbresultxy[i]
}
);
}
}
//MethodStaticFomula.ErrorArcSec(mensq);
label1.Text = Convert.ToString(kdt.Count);
//plot graph
ZedGrahp(kdt.Query(), dbresultxy);
double[] maimaxmean = kdt.MinMaxMean;
Console.WriteLine("[INFO][MAX]{0}, [MIN{1}, [MEAN]{2}, [COUNT]{3}]", maimaxmean[0], maimaxmean[1], maimaxmean[2], kdt.Count);
List <TypeKDTree> sigma1 = MethodStaticFomula.CreateSigma(kdt.Query(), maimaxmean[2]);
kdt.Show();
Console.WriteLine("[INFO][X][RMS][{0}]", MethodStaticFomula.RMS(sigma1, 0));
Console.WriteLine("[INFO][Y][RMS][{0}]", MethodStaticFomula.RMS(sigma1, 1));
//data
data = CreateData2GridView(dbresultxy, RaDec, kdt.Query(), result.Item3);
dataGridView1.DataSource = data;
//---debug---
//
//string json = JsonConvert.SerializeObject(this.jsonPlan);
//string databasejson = JsonConvert.SerializeObject(dbresult);
//Console.WriteLine(databasejson);
//JsonAstro.Save(@"C:\Users\specter\Desktop\Mongo\MongoDBControll\Json\plant.json", json);
//JsonAstro.Save(@"C:\Users\specter\Desktop\Mongo\MongoDBControll\Json\db.json", databasejson);
GC.Collect();
}
