public CircleModel FittingCircleWithLeastSquares(double[][] points)
{
var ols = new OrdinaryLeastSquares
{
UseIntercept = true,
IsRobust = true
};
var outputs = points.Select(t => Math.Pow(t[0], 2) + Math.Pow(t[1], 2)).ToArray();
var regression = ols.Learn(points, outputs);
// As result, we will be given the following:
var a = regression.Weights[0] / 2; // a = 0
var b = regression.Weights[1] / 2; // b = 0
var c = regression.Intercept; // c = 1
c = Math.Sqrt(c + a * a + b * b);
var midPoint = points[points.Length / 2];
var result = new CircleModel
{
X = a,
Y = b,
XSource = midPoint[0],
YSource = midPoint[1],
R = c,
R_geo = GeoTools.CalculateDistance(midPoint[1], midPoint[0], b, a)
};
return(result);
}
public CircleModel FittingCircleWithRansac(double[][] points)
{
var ransca = new RansacCircle(100, 0.9);
var circle = ransca.Estimate(points.Select(t => new Point((float)t[0], (float)t[1])).ToArray());
var midPoint = points[points.Length / 2];
var result = new CircleModel
{
X = circle.Origin.X,
Y = circle.Origin.Y,
XSource = midPoint[0],
YSource = midPoint[1],
R = circle.Radius,
R_geo = GeoTools.CalculateDistance(midPoint[1], midPoint[0], circle.Origin.Y, circle.Origin.X)
};
return(result);
}
