EuclidianDistanceAnisotropic (ImgLib2 Javadocs 0-SNAPSHOT API)

java.lang.Object
- net.imglib2.algorithm.morphology.distance.EuclidianDistanceAnisotropic

All Implemented Interfaces:

Distance
```
public class EuclidianDistanceAnisotropic
extends Object
implements Distance
```
Implementation of weighted anisotropic Euclidian distance: D( p ) = min_q f(q) + sum_i w_i*(p_i - q_i)*(p_i - q_i).

Author:

Philipp Hanslovsky

Constructor Summary

Constructors
Constructor and Description
`EuclidianDistanceAnisotropic(double... weights)` When accounting for anisotropic image data, the ratios of the weights should be equal to the squared ratios of the voxel sizes, e.g.
`EuclidianDistanceAnisotropic(int nDim, double weight)` Use the same weight for each dimension

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double`	`evaluate(double x, double xShift, double yShift, int dim)` Evaluate function with family parameters `xShift` and `yShift` at position `x` in dimension dim.
`double`	`intersect(double xShift1, double yShift1, double xShift2, double yShift2, int dim)` Determine the intersection point in dimension dim of two members of the function family.

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

- Constructor Detail
  - EuclidianDistanceAnisotropic
```
public EuclidianDistanceAnisotropic(double... weights)
```
    When accounting for anisotropic image data, the ratios of the weights should be equal to the squared ratios of the voxel sizes, e.g. if voxel is twice as long along the y-axis, the weight for the y-axis should be four times as big as the weight for the x-axis.
    
    Parameters:
    
    weights - multiply squared difference between x and xShift with weight (one weight per dimension)
  - EuclidianDistanceAnisotropic
```
public EuclidianDistanceAnisotropic(int nDim,
                                    double weight)
```
    Use the same weight for each dimension
    
    Parameters:
    
    nDim - number of dimensions
    
    weight - multiply squared difference between x and xShift with weight
- Method Detail
  - evaluate
```
public double evaluate(double x,
                       double xShift,
                       double yShift,
                       int dim)
```
    Description copied from interface: Distance
    
    Evaluate function with family parameters xShift and yShift at position x in dimension dim.
    
    Specified by:
    
    evaluate in interface Distance
    
    Parameters:
    
    x - position on x-axis at which function is evaluated
    
    xShift - shift along the x-axis
    
    yShift - shift along y-axis
    
    dim - dimension in which to evaluate
    
    Returns:
    
    Function value at position x
  - intersect
```
public double intersect(double xShift1,
                        double yShift1,
                        double xShift2,
                        double yShift2,
                        int dim)
```
    Description copied from interface: Distance
    
    Determine the intersection point in dimension dim of two members of the function family. The members are parameterized by xShift1, yShift1, xShift2, yShift2, with xShift1 > xShift2.
    
    Specified by:
    
    intersect in interface Distance
    
    Parameters:
    
    xShift1 - shift along the x-axis
    
    yShift1 - shift along the y-axis
    
    xShift2 - shift along the x-axis
    
    yShift2 - shift along the y-axis
    
    dim - dimension in which to evaluate
    
    Returns:
    
    intersection point along axis defined by dim

Class EuclidianDistanceAnisotropic

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

EuclidianDistanceAnisotropic

EuclidianDistanceAnisotropic

Method Detail

evaluate

intersect