Package gov.nih.mipav.model.algorithms.registration

Class BSplineRegistrationBasef

java.lang.Object

gov.nih.mipav.model.algorithms.registration.BSplineRegistrationBasef

Direct Known Subclasses:

BSplineRegistration2Df, BSplineRegistration3Df

public class BSplineRegistrationBasef
extends Object

This is a common base class for all BSpline-based registrations.

Field Summary

Fields

Modifier and Type	Field	Description
protected int	m_iNumSamplesTrg	Total number of samples in target, registered source, and error images.
protected ModelSimpleImage	m_kImageSrc	DOCUMENT ME!
protected ModelSimpleImage	m_kImageTrg	DOCUMENT ME!
protected RegistrationMeasure	m_kRegMeasure	Defines the cost measure for comparing the target image with the registered image.
protected int	nthreads	The number of threads.

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	BSplineRegistrationBasef(ModelSimpleImage kImageSrc, ModelSimpleImage kImageTrg, RegistrationMeasure kRegMeasure)	Create instance to be used for registration.

Method Summary

Modifier and Type	Method	Description
protected float[]	createIdentityMapControlPoints(WildMagic.LibFoundation.Curves.BSplineBasisDiscretef kBasis)	Create optimal placement of control points for each dimension which yields the identity mapping of the source image, i.e., identity in that the output value to the Bspline function is the same as the input value.
void	finalize()	Cleanup memory.
double	getError()	Return the current error measure computeas the root mean squared error.
ModelSimpleImage	getImageSource()	Return access to input source image data values which is the same as was passed to the constructor.
ModelSimpleImage	getImageTarget()	Return access to input target image data values which is the same as was passed to the constructor.

Methods inherited from class java.lang.Object

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

Field Details

m_iNumSamplesTrg

protected int m_iNumSamplesTrg

Total number of samples in target, registered source, and error images.

m_kImageSrc

protected ModelSimpleImage m_kImageSrc

DOCUMENT ME!

m_kImageTrg

protected ModelSimpleImage m_kImageTrg

DOCUMENT ME!

m_kRegMeasure

protected RegistrationMeasure m_kRegMeasure

Defines the cost measure for comparing the target image with the registered image.

nthreads

protected int nthreads

The number of threads.

Constructor Details

BSplineRegistrationBasef

protected BSplineRegistrationBasef(ModelSimpleImage kImageSrc,
 ModelSimpleImage kImageTrg,
 RegistrationMeasure kRegMeasure)

Create instance to be used for registration. Creates the memory for the registered source image and the error image given the total number of samples in the image.

Parameters:

kImageSrc - ModelSimpleImage Input source image which contains properties and data values. Must have either 2 or 3 dimensions where the number of dimensions matches that of the target image.

kImageTrg - ModelSimpleImage Input target image which contains properties and data values. Must have either 2 or 3 dimensions where the number of dimensions matches that of the source image.

kRegMeasure - RegistrationMeasure Defines the cost measure for comparing the target image with the registered source image.

Method Details

finalize

public void finalize()
              throws Throwable

Cleanup memory.

Overrides:

finalize in class Object

Throws:

Throwable - DOCUMENT ME!

getError

public double getError()

Return the current error measure computeas the root mean squared error.

Returns:

double Current cummulative error measure between target and registered source.

getImageSource

public ModelSimpleImage getImageSource()

Return access to input source image data values which is the same as was passed to the constructor.

Returns:

ModelSimpleImage Image which contains properties and data values.

getImageTarget

public ModelSimpleImage getImageTarget()

Return access to input target image data values which is the same as was passed to the constructor.

Returns:

ModelSimpleImage Image which contains properties and data values.

createIdentityMapControlPoints

protected float[] createIdentityMapControlPoints(WildMagic.LibFoundation.Curves.BSplineBasisDiscretef kBasis)

Create optimal placement of control points for each dimension which yields the identity mapping of the source image, i.e., identity in that the output value to the Bspline function is the same as the input value.

Parameters:

kBasis - BSplineBasisDiscretef Input BSpline-basis for a single dimension.

Returns:

float[] Array of control point positions for this single dimension input B-spline basis These positions are in the [0,1] range and are monotonically increasing. The size of this array is determined by the number of control points specified for the input BSpline basis.