EllipsoidFitter (ImgLib2 Mesh 1.1.0 API)

java.lang.Object
- net.imglib2.mesh.alg.EllipsoidFitter

```
public class EllipsoidFitter
extends Object
```
Fit an ellipsoid to the convex-Hull of a 3D mesh.
Adapted from Yury Petrov's Ellipsoid Fit MATLAB function and KalebKE ellipsoidfit.

Author:

Jean-Yves Tinevez

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class EllipsoidFitter.Ellipsoid
The results of fitting an ellipsoid to a mesh or a collection of points.

Constructor Summary

Constructors
Constructor Description

EllipsoidFitter()

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method	Description
`static EllipsoidFitter.Ellipsoid`	`fit(Iterable<? extends RealLocalizable> points, int nPoints)`	Fit an ellipsoid to a collection of 3D points.
`static EllipsoidFitter.Ellipsoid`	`fit(Mesh mesh)`	Fit an ellipsoid to the convex-Hull of a 3D mesh.
`static EllipsoidFitter.Ellipsoid`	`fitOnConvexHull(Mesh mesh)`	Fit an ellipsoid to a 3D mesh, assuming it is the convex-Hull.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - EllipsoidFitter
```
public EllipsoidFitter()
```
- Method Detail
  - fit
```
public static final EllipsoidFitter.Ellipsoid fit(Mesh mesh)
```
    Fit an ellipsoid to the convex-Hull of a 3D mesh.
    
    Parameters:
    
    mesh - the mesh to fit.
    
    Returns:
    
    the fit results.
  - fitOnConvexHull
```
public static final EllipsoidFitter.Ellipsoid fitOnConvexHull(Mesh mesh)
```
    Fit an ellipsoid to a 3D mesh, assuming it is the convex-Hull.
    
    Parameters:
    
    mesh - the convex-Hull of the mesh to fit.
    
    Returns:
    
    the fit results.
  - fit
```
public static EllipsoidFitter.Ellipsoid fit(Iterable<? extends RealLocalizable> points,
                                            int nPoints)
```
    Fit an ellipsoid to a collection of 3D points.
    
    Parameters:
    
    points - an iterable over the points to fit.
    
    nPoints - the number of points to include in the fit. The fit will consider at most the first nPoints of the iterable, or all the points in the iterable, whatever comes first.
    
    Returns:
    
    the fit results.