itk::ImageMosaicVarianceMetric< TImage, TInterpolator > Class Template Reference

Computes mean pixel variance within the overlapping regions of a mosaic. More...

#include <itkImageMosaicVarianceMetric.h>

Inheritance diagram for itk::ImageMosaicVarianceMetric< TImage, TInterpolator >:

Classes
class	image_data_t

Public Types
typedef ImageMosaicVarianceMetric	Self
typedef SingleValuedCostFunction	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInterpolator	interpolator_t
typedef TImage	image_t
typedef TImage::PixelType	pixel_t
typedef itk::Image< unsigned char, itkGetStaticConstMacro(ImageDimension)>	mask_t
typedef Transform< Superclass::ParametersValueType, itkGetStaticConstMacro(ImageDimension), itkGetStaticConstMacro(ImageDimension)>	transform_t
typedef transform_t::InputPointType	point_t
typedef transform_t::ParametersType	params_t
typedef transform_t::JacobianType	jacobian_t
typedef float	scalar_t
typedef CovariantVector< scalar_t, itkGetStaticConstMacro(ImageDimension)>	gradient_pixel_t
typedef Image< gradient_pixel_t, itkGetStaticConstMacro(ImageDimension)>	gradient_image_t
typedef GradientRecursiveGaussianImageFilter< image_t, gradient_image_t >	gradient_filter_t
typedef Superclass::MeasureType	measure_t
typedef Superclass::DerivativeType	derivative_t

Public Member Functions
	itkNewMacro (Self)
	itkTypeMacro (ImageMosaicVarianceMetric, SingleValuedCostFunction)
	itkStaticConstMacro (ImageDimension, unsigned int, TImage::ImageDimension)
	itkGetConstReferenceMacro (NumberOfPixelsCounted, unsigned long)
	itkSetMacro (MosaicRegion, typename image_t::RegionType)
	itkGetConstReferenceMacro (MosaicRegion, typename image_t::RegionType)
void	setup_param_map (const std::vector< bool > &params_shared, const std::vector< bool > &params_active)
params_t	GetTransformParameters () const
void	SetTransformParameters (const params_t &parameters) const
unsigned int	GetNumberOfParameters () const
virtual void	Initialize () throw (ExceptionObject)
measure_t	GetValue (const params_t &parameters) const
void	GetDerivative (const params_t &parameters, derivative_t &derivative) const
void	GetValueAndDerivative (const params_t &parameters, measure_t &value, derivative_t &derivative) const
void	CalcMosaicBBox (point_t &mosaic_min, point_t &mosaic_max, std::vector< point_t > &image_min, std::vector< point_t > &image_max) const
image_t::Pointer	variance (measure_t &max_var, measure_t &avg_var) const
image_t::Pointer	variance (const typename TImage::SpacingType &sp, const pnt2d_t &mosaic_min, const pnt2d_t &mosaic_max, measure_t &max_var, measure_t &avg_var) const
image_t::Pointer	variance (const typename TImage::SpacingType &sp, const pnt2d_t &mosaic_min, const typename TImage::SizeType &sz, measure_t &max_var, measure_t &avg_var) const
image_t::Pointer	variance () const

Public Attributes
std::vector< typename image_t::ConstPointer >	image_
std::vector< typename mask_t::ConstPointer >	mask_
std::vector< typename transform_t::Pointer >	transform_
std::vector< typename interpolator_t::Pointer >	interpolator_
std::vector< typename gradient_image_t::ConstPointer >	gradient_
std::vector< std::vector< unsigned int > >	address_
unsigned int	n_shared_
unsigned int	n_unique_
std::vector< bool >	param_active_

Protected Member Functions
void	PrintSelf (std::ostream &os, Indent indent) const

Protected Attributes
unsigned long	m_NumberOfPixelsCounted

Detailed Description

template<class TImage, class TInterpolator>
class itk::ImageMosaicVarianceMetric< TImage, TInterpolator >

Computes mean pixel variance within the overlapping regions of a mosaic.

Member Typedef Documentation

template<class TImage , class TInterpolator >

typedef Superclass::DerivativeType itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::derivative_t

Type of the derivative.

template<class TImage , class TInterpolator >

typedef TInterpolator itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::interpolator_t

Type of the moving Image.

template<class TImage , class TInterpolator >

typedef Superclass::MeasureType itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::measure_t

Type of the measure.

template<class TImage , class TInterpolator >

typedef float itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::scalar_t

Gaussian filter to compute the gradient of the mosaic images

template<class TImage , class TInterpolator >

typedef ImageMosaicVarianceMetric itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::Self

Standard class typedefs.

template<class TImage , class TInterpolator >

typedef Transform<Superclass::ParametersValueType, itkGetStaticConstMacro(ImageDimension), itkGetStaticConstMacro(ImageDimension)> itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::transform_t

Type of the transform base class

Member Function Documentation

template<class TImage , class TInterpolator >

void itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::GetDerivative ( const params_t &  parameters, derivative_t &  derivative  ) const

inline

virtual: Get the derivatives of the match measure.

template<class TImage , class TInterpolator >

unsigned int itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::GetNumberOfParameters

(

)

const

virtual: Return the number of parameters required by the transforms.

NOTE: this function will fail if SetupTransformParameterOffsets has not been called yet.

template<class TImage , class TInterpolator >

params_t itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::GetTransformParameters

(

)

const

Concatenate parameters of each transform into one big vector.

NOTE: this function will fail if SetupTransformParameterOffsets has not been called yet.

template<class TImage , class TInterpolator >

measure_t itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::GetValue ( const params_t &  parameters ) const

inline

virtual: Get the value for single valued optimizers.

template<class TImage , class TInterpolator >

void itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::GetValueAndDerivative	(	const params_t &	parameters,
		measure_t &	value,
		derivative_t &	derivative
	)		const

virtual: Get value and derivatives for multiple valued optimizers.

template<class TImage , class TInterpolator >

virtual void itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::Initialize ( ) throw ( ExceptionObject )

virtual

Initialize the Metric by making sure that all the components are present and plugged together correctly.

template<class TImage , class TInterpolator >

itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::itkGetConstReferenceMacro	(	NumberOfPixelsCounted	,
		unsigned	long
	)

Get the number of pixels considered in the computation.

template<class TImage , class TInterpolator >

itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::itkNewMacro

(

Self

)

Method for creation through the object factory.

template<class TImage , class TInterpolator >

itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::itkSetMacro	(	MosaicRegion	,
		typename image_t::RegionType
	)

Set/Get the region over which the metric will be computed

template<class TImage , class TInterpolator >

itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::itkStaticConstMacro	(	ImageDimension	,
		unsigned	int,
		TImage::ImageDimension
	)

Constant for the image dimension

template<class TImage , class TInterpolator >

itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::itkTypeMacro	(	ImageMosaicVarianceMetric< TImage, TInterpolator >	,
		SingleValuedCostFunction
	)

Run-time type information (and related methods).

template<class TImage , class TInterpolator >

void itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::SetTransformParameters

(

const params_t &

parameters

)

const

virtual: Set the parameters defining the transforms:

NOTE: this function will fail if SetupTransformParameterOffsets has not been called yet.

template<class TImage , class TInterpolator >

void itk::ImageMosaicVarianceMetric< TImage, TInterpolator >::setup_param_map	(	const std::vector< bool > &	params_shared,
		const std::vector< bool > &	params_active
	)

Initialize transform parameter offsets.

Setup the mapping from individual transform parameter indices to the corresponding indices in the concatenated parameter vector.

The radial distortion transforms typically share the same parameters across all images in the mosaic, therefore it is slow and unnecessary to duplicate the same parameters parameters in the concatenated parameters vector. Instead, the parameters are store only once. This also allows a significant speedup of the optimization. On the other hand, translation parameters are typically unique for each image.

params_shared is a vector of boolean flags indicating which of the transform parameters are shared (true) or unique (false).

NOTE: this function will fail if the transform_ has not been initialized.

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The documentation for this class was generated from the following file:

• Core/ITKCommon/Optimizers/itkImageMosaicVarianceMetric.h