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/*========================================================================= |
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Program: Insight Segmentation & Registration Toolkit |
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Module: $RCSfile: itkCenteredSimilarity2DTransform.h.html,v $ |
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Language: C++ |
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Date: $Date: 2006/01/17 19:15:33 $ |
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Version: $Revision: 1.4 $ |
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Copyright (c) Insight Software Consortium. All rights reserved. |
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See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details. |
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This software is distributed WITHOUT ANY WARRANTY; without even |
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR |
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PURPOSE. See the above copyright notices for more information. |
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=========================================================================*/ |
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#ifndef __itkCenteredSimilarity2DTransform_h |
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#define __itkCenteredSimilarity2DTransform_h |
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#include <iostream> |
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#include "itkSimilarity2DTransform.h" |
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namespace itk |
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{ |
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/** \brief CenteredSimilarity2DTransform of a vector space (e.g. space coordinates) |
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* |
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* This transform applies a homogenous scale and rigid transform in |
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* 2D space. The transform is specified as a scale and rotation around |
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* a arbitrary center and is followed by a translation. |
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* given one angle for rotation, a homogeneous scale and a 2D offset for translation. |
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* |
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* The main difference between this class and its superclass |
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* Similarity2DTransform is that the center of transformation is exposed |
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* for optimization. |
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* |
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* The serialization of the optimizable parameters is an array of 6 elements |
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* ordered as follows: |
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* p[0] = scale |
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* p[1] = angle |
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* p[2] = x coordinate of the center |
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* p[3] = y coordinate of the center |
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* p[4] = x component of the translation |
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* p[5] = y component of the translation |
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* |
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* There are no fixed parameters. |
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* |
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* \sa Similarity2DTransform |
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* |
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* \ingroup Transforms |
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*/ |
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template < class TScalarType=double > // Data type for scalars (float or double) |
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class ITK_EXPORT CenteredSimilarity2DTransform : |
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************public Similarity2DTransform< TScalarType > |
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{ |
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public: |
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/** Standard class typedefs. */ |
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typedef CenteredSimilarity2DTransform Self; |
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typedef Similarity2DTransform< TScalarType > Superclass; |
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typedef SmartPointer<Self> Pointer; |
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typedef SmartPointer<const Self> ConstPointer; |
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/** New macro for creation of through a Smart Pointer. */ |
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itkNewMacro( Self ); |
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/** Run-time type information (and related methods). */ |
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itkTypeMacro( CenteredSimilarity2DTransform, Similarity2DTransform ); |
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/** Dimension of parameters. */ |
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itkStaticConstMacro(SpaceDimension, unsigned int, 2); |
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itkStaticConstMacro(InputSpaceDimension, unsigned int, 2); |
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itkStaticConstMacro(OutputSpaceDimension, unsigned int, 2); |
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itkStaticConstMacro(ParametersDimension, unsigned int, 6); |
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/** Scalar type. */ |
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typedef typename Superclass::ScalarType ScalarType; |
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/** Parameters type. */ |
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typedef typename Superclass::ParametersType ParametersType; |
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/** Jacobian type. */ |
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typedef typename Superclass::JacobianType JacobianType; |
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/** Offset type. */ |
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typedef typename Superclass::OffsetType OffsetType; |
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/** Point type. */ |
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typedef typename Superclass::InputPointType InputPointType; |
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typedef typename Superclass::OutputPointType OutputPointType; |
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/** Vector type. */ |
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typedef typename Superclass::InputVectorType InputVectorType; |
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typedef typename Superclass::OutputVectorType OutputVectorType; |
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/** CovariantVector type. */ |
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typedef typename Superclass::InputCovariantVectorType InputCovariantVectorType; |
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typedef typename Superclass::OutputCovariantVectorType OutputCovariantVectorType; |
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/** VnlVector type. */ |
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typedef typename Superclass::InputVnlVectorType InputVnlVectorType; |
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typedef typename Superclass::OutputVnlVectorType OutputVnlVectorType; |
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/** Set the transformation from a container of parameters |
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***** This is typically used by optimizers. |
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***** There are 6 parameters. The first one represents the |
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***** scale, the second represents the angle of rotation, the next |
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***** two represent the center of the rotation |
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***** and the last two represent the translation. |
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***** |
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***** \sa Transform::SetParameters() |
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***** \sa Transform::SetFixedParameters() */ |
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void SetParameters( const ParametersType & parameters ); |
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/** Get the parameters that uniquely define the transform |
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* This is typically used by optimizers. |
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* There are 6 parameters. The first one represents the |
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* scale, the second represents the angle of rotation, the next |
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* two represent the center of the rotation |
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* and the last two represent the translation. |
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* |
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* \sa Transform::GetParameters() |
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* \sa Transform::GetFixedParameters() */ |
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const ParametersType & GetParameters( void ) const; |
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/** This method computes the Jacobian matrix of the transformation |
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* at a given input point. |
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* |
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* \sa Transform::GetJacobian() */ |
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const JacobianType & GetJacobian(const InputPointType &point ) const; |
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/** Set the fixed parameters and update internal transformation. |
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* This is a null function as there are no fixed parameters. */ |
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virtual void SetFixedParameters( const ParametersType & ); |
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/** Get the Fixed Parameters. An empty array is returned |
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* as there are no fixed parameters. */ |
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virtual const ParametersType& GetFixedParameters(void) const; |
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/** |
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* This method creates and returns a new Rigid2DTransform object |
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* which is the inverse of self. |
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**/ |
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void CloneInverseTo( Pointer & newinverse ) const; |
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/** |
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* This method creates and returns a new Rigid2DTransform object |
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* which has the same parameters. |
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**/ |
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void CloneTo( Pointer & clone ) const; |
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protected: |
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CenteredSimilarity2DTransform(); |
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CenteredSimilarity2DTransform( unsigned int spaceDimension, |
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unsigned int parametersDimension); |
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~CenteredSimilarity2DTransform(){}; |
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void PrintSelf(std::ostream &os, Indent indent) const; |
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private: |
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CenteredSimilarity2DTransform(const Self&); //purposely not implemented |
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void operator=(const Self&); //purposely not implemented |
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}; //class CenteredSimilarity2DTransform |
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} // namespace itk |
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#ifndef ITK_MANUAL_INSTANTIATION |
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#include "itkCenteredSimilarity2DTransform.txx" |
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#endif |
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#endif /* __itkCenteredSimilarity2DTransform_h */ |
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