Package inra.ijpb.label.distmap

Class ChamferDistanceTransform3DFloat

java.lang.Object

inra.ijpb.algo.AlgoStub

inra.ijpb.label.distmap.ChamferDistanceTransform3DFloat

All Implemented Interfaces:

Algo, DistanceTransform3D

public class ChamferDistanceTransform3DFloat
extends AlgoStub
implements DistanceTransform3D

Computes 3D distance transform using the chamfer weights provided by a ChamferWeights3D object, and using floating-point computation. This version works also for label images. The implementation is a little bit different compared to the version for binary images, in particular, it makes use of the "Image3D" interface.

Author:

David Legland

See Also:

ChamferDistanceTransform3DFloat

Constructor Summary

Constructors

Constructor	Description
ChamferDistanceTransform3DFloat(ChamferMask3D mask)	Creates a new algorithm for computing 3D distance maps on label images based on a chamfer mask.
ChamferDistanceTransform3DFloat(ChamferMask3D mask, boolean normalize)	Creates a new algorithm for computing 3D distance maps on label images based on a chamfer mask.

Method Summary

Modifier and Type	Method	Description
ij.ImageStack	distanceMap(ij.ImageStack image)	Computes the distance map from a 3D label image.

Methods inherited from class inra.ijpb.algo.AlgoStub

addAlgoListener, removeAlgoListener

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface inra.ijpb.algo.Algo

addAlgoListener, removeAlgoListener

Constructor Details

ChamferDistanceTransform3DFloat

public ChamferDistanceTransform3DFloat(ChamferMask3D mask)

Creates a new algorithm for computing 3D distance maps on label images based on a chamfer mask. Use normalization of resulting distance map.

Parameters:

mask - the chamfer mask used for propagating distances

ChamferDistanceTransform3DFloat

public ChamferDistanceTransform3DFloat(ChamferMask3D mask,
boolean normalize)

Creates a new algorithm for computing 3D distance maps on label images based on a chamfer mask.

Parameters:

mask - the chamfer mask to use for propagating distances

normalize - whether distance map should be normalized by the weight associated to orthogonal shifts

Method Details

distanceMap

public ij.ImageStack distanceMap(ij.ImageStack image)

Computes the distance map from a 3D label image. Distance is computed for each foreground (white) pixel, as the chamfer distance to the nearest background (black) pixel.

Specified by:

distanceMap in interface DistanceTransform3D

Parameters:

image - a 3D binary image with white pixels (255) as foreground

Returns:

a new 3D image containing:

• 0 for each background pixel
• the distance to the nearest background pixel otherwise