ITK
4.3.0
Insight Segmentation and Registration Toolkit
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#include <itkRegistrationParameterScalesFromJacobian.h>
Implements a registration helper class for estimating scales of transform parameters from Jacobian norms.
Its input includes the fixed/moving images and transform objects, which can be obtained from the metric object.
The scale of a parameter is estimated from the averaged squared norm of the Jacobian w.r.t the parameter. The averaging is done over a sampling of the image domain. The sampling by default is a uniform random distribution.
Definition at line 41 of file itkRegistrationParameterScalesFromJacobian.h.
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef Superclass::FixedTransformType | FixedTransformType |
typedef Superclass::FloatType | FloatType |
typedef Superclass::JacobianType | JacobianType |
typedef Superclass::MovingTransformType | MovingTransformType |
typedef Superclass::ParametersType | ParametersType |
typedef SmartPointer< Self > | Pointer |
typedef Superclass::ScalesType | ScalesType |
typedef RegistrationParameterScalesFromJacobian | Self |
typedef RegistrationParameterScalesEstimator < TMetric > | Superclass |
typedef Superclass::VirtualImageConstPointer | VirtualImageConstPointer |
typedef Superclass::VirtualIndexType | VirtualIndexType |
typedef Superclass::VirtualPointType | VirtualPointType |
Public Types inherited from itk::RegistrationParameterScalesEstimator< TMetric > | |
typedef SmartPointer< const Self > | ConstPointer |
typedef FixedTransformType::ConstPointer | FixedTransformConstPointer |
typedef MetricType::FixedTransformType | FixedTransformType |
typedef Superclass::FloatType | FloatType |
typedef TMetric::JacobianType | JacobianType |
typedef MetricType::ConstPointer | MetricConstPointer |
typedef MetricType::Pointer | MetricPointer |
typedef TMetric | MetricType |
typedef MovingTransformType::ConstPointer | MovingTransformConstPointer |
typedef MetricType::MovingTransformType | MovingTransformType |
typedef Superclass::ParametersType | ParametersType |
typedef SmartPointer< Self > | Pointer |
typedef std::vector < VirtualPointType > | SamplePointContainerType |
enum | SamplingStrategyType { FullDomainSampling = 0, CornerSampling, RandomSampling, CentralRegionSampling, VirtualDomainPointSetSampling } |
typedef Superclass::ScalesType | ScalesType |
typedef RegistrationParameterScalesEstimator | Self |
typedef OptimizerParameterScalesEstimator | Superclass |
typedef TMetric::VirtualImageConstPointer | VirtualImageConstPointer |
typedef TMetric::VirtualImagePointer | VirtualImagePointer |
typedef TMetric::VirtualImageType | VirtualImageType |
typedef TMetric::VirtualIndexType | VirtualIndexType |
typedef TMetric::VirtualPointSetPointer | VirtualPointSetPointer |
typedef TMetric::VirtualPointSetType | VirtualPointSetType |
typedef TMetric::VirtualPointType | VirtualPointType |
typedef TMetric::VirtualRegionType | VirtualRegionType |
typedef TMetric::VirtualSizeType | VirtualSizeType |
typedef TMetric::VirtualSpacingType | VirtualSpacingType |
Public Types inherited from itk::OptimizerParameterScalesEstimator | |
typedef SmartPointer< const Self > | ConstPointer |
typedef double | FloatType |
typedef ObjectToObjectOptimizerBase::ParametersType | ParametersType |
typedef SmartPointer< Self > | Pointer |
typedef ObjectToObjectOptimizerBase::ScalesType | ScalesType |
typedef OptimizerParameterScalesEstimator | Self |
typedef Object | Superclass |
Public Types inherited from itk::Object | |
typedef SmartPointer< const Self > | ConstPointer |
typedef SmartPointer< Self > | Pointer |
typedef Object | Self |
typedef LightObject | Superclass |
Public Types inherited from itk::LightObject | |
typedef SmartPointer< const Self > | ConstPointer |
typedef SmartPointer< Self > | Pointer |
typedef LightObject | Self |
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
virtual void | EstimateLocalStepScales (const ParametersType &step, ScalesType &localStepScales) |
virtual void | EstimateScales (ScalesType &scales) |
virtual FloatType | EstimateStepScale (const ParametersType &step) |
virtual const char * | GetNameOfClass () const |
Public Member Functions inherited from itk::RegistrationParameterScalesEstimator< TMetric > | |
virtual FloatType | EstimateMaximumStepSize () |
virtual void | SetCentralRegionRadius (IndexValueType _arg) |
virtual void | SetMetric (MetricType *_arg) |
virtual void | SetScalesSamplingStrategy () |
virtual void | SetStepScaleSamplingStrategy () |
virtual void | SetTransformForward (bool _arg) |
virtual bool | GetTransformForward () const |
virtual void | SetVirtualDomainPointSet (VirtualPointSetType *_arg) |
virtual void | SetVirtualDomainPointSet (const VirtualPointSetType *_arg) |
virtual const VirtualPointSetType * | GetVirtualDomainPointSet () |
Static Public Member Functions | |
static Pointer | New () |
Private Member Functions | |
void | operator= (const Self &) |
RegistrationParameterScalesFromJacobian (const Self &) | |
Additional Inherited Members | |
Static Public Attributes inherited from itk::RegistrationParameterScalesEstimator< TMetric > | |
static const SizeValueType | FixedDimension = TMetric::FixedDimension |
static const SizeValueType | MovingDimension = TMetric::MovingDimension |
static const SizeValueType | VirtualDimension = TMetric::VirtualDimension |
Protected Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
Protected Attributes inherited from itk::RegistrationParameterScalesEstimator< TMetric > | |
IndexValueType | m_CentralRegionRadius |
MetricPointer | m_Metric |
SizeValueType | m_NumberOfRandomSamples |
SamplePointContainerType | m_SamplePoints |
TimeStamp | m_SamplingTime |
VirtualPointSetType::ConstPointer | m_VirtualDomainPointSet |
Static Protected Attributes inherited from itk::RegistrationParameterScalesEstimator< TMetric > | |
static const SizeValueType | SizeOfSmallDomain = 1000 |
typedef SmartPointer<const Self> itk::RegistrationParameterScalesFromJacobian< TMetric >::ConstPointer |
Definition at line 49 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::FixedTransformType itk::RegistrationParameterScalesFromJacobian< TMetric >::FixedTransformType |
Definition at line 69 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::FloatType itk::RegistrationParameterScalesFromJacobian< TMetric >::FloatType |
Type of float
Definition at line 64 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::JacobianType itk::RegistrationParameterScalesFromJacobian< TMetric >::JacobianType |
Definition at line 70 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::MovingTransformType itk::RegistrationParameterScalesFromJacobian< TMetric >::MovingTransformType |
Definition at line 68 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::ParametersType itk::RegistrationParameterScalesFromJacobian< TMetric >::ParametersType |
Type of parameters of the optimizer
Definition at line 61 of file itkRegistrationParameterScalesFromJacobian.h.
typedef SmartPointer<Self> itk::RegistrationParameterScalesFromJacobian< TMetric >::Pointer |
Definition at line 48 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::ScalesType itk::RegistrationParameterScalesFromJacobian< TMetric >::ScalesType |
Type of scales
Definition at line 55 of file itkRegistrationParameterScalesFromJacobian.h.
typedef RegistrationParameterScalesFromJacobian itk::RegistrationParameterScalesFromJacobian< TMetric >::Self |
Standard class typedefs.
Definition at line 46 of file itkRegistrationParameterScalesFromJacobian.h.
typedef RegistrationParameterScalesEstimator< TMetric > itk::RegistrationParameterScalesFromJacobian< TMetric >::Superclass |
Definition at line 47 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::VirtualImageConstPointer itk::RegistrationParameterScalesFromJacobian< TMetric >::VirtualImageConstPointer |
Definition at line 71 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::VirtualIndexType itk::RegistrationParameterScalesFromJacobian< TMetric >::VirtualIndexType |
Definition at line 67 of file itkRegistrationParameterScalesFromJacobian.h.
typedef Superclass::VirtualPointType itk::RegistrationParameterScalesFromJacobian< TMetric >::VirtualPointType |
Definition at line 66 of file itkRegistrationParameterScalesFromJacobian.h.
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Definition at line 101 of file itkRegistrationParameterScalesFromJacobian.h.
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Compute the step scales for samples, i.e. the impacts on each sampled voxel from a change on the transform.
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Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
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Estimate the scales of local steps.
Implements itk::RegistrationParameterScalesEstimator< TMetric >.
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Estimate parameter scales.
Implements itk::RegistrationParameterScalesEstimator< TMetric >.
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Estimate the scale for , the step of change on parameters. The step scale describes the impact of on the transform.
Let us denote the transform by
where is the coordinates of a voxel, is the transform parameters, and is the step factor.
At a specific voxel at , the step scale w.r.t. is defined here as
For multiple voxels, we average the above formula to get the overall step scale.
Implements itk::RegistrationParameterScalesEstimator< TMetric >.
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Run-time type information (and related methods).
Reimplemented from itk::RegistrationParameterScalesEstimator< TMetric >.
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New macro for creation of through a Smart Pointer.
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::RegistrationParameterScalesEstimator< TMetric >.