/usr/include/ITK-4.5/itkMultiTransform.h is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 | /*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef __itkMultiTransform_h
#define __itkMultiTransform_h
#include "itkTransform.h"
#include <deque>
namespace itk
{
/** \class MultiTransform
* \brief This abstract class contains a list of transforms and provides basic methods.
*
* This abstract base class is used by classes that operate on a list of
* sub-transforms. The sub-transforms can have a different dimensionality
* than the container transform.
*
* Transforms are stored in a container (queue), in the following order:
* \f$ T_0, T_1, ... , T_N-1 \f$
*
* Transforms are added via a single method, AddTransform(). This adds the
* transforms to the back of the queue. A single method for adding transforms
* is meant to simplify the interface and prevent errors.
*
* Inverse
* todo
*
* TODO
*
* Interface Issues/Comments
* x The PushFrontTransform and PushBackTransform methods are protected to
* force the user to use the AddTransform method, forcing the order of
* transforms. Are there use cases where the user would *need* to insert
* transforms at the front of the queue? Or at arbitrary positions?
*
* GetParameters efficiency optimization
* Can we optimize this to only query the sub-transforms when the params
* in the sub transforms have changed since the previous call? Can't use
* Modified time b/c that will get updated in sub-transforms with every
* call to SetParameters. Is this worth worrying about? i.e. how much time
* will it take in the overall registration process? Probably very little.
*
* \ingroup ITKTransform
*/
template
<class TScalar = double, unsigned int NDimensions = 3, unsigned int NSubDimensions = NDimensions>
class MultiTransform :
public Transform<TScalar, NDimensions, NDimensions>
{
public:
/** Standard class typedefs. */
typedef MultiTransform Self;
typedef Transform<TScalar, NDimensions, NDimensions> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro( MultiTransform, Transform );
/** Sub transform type **/
typedef Transform<TScalar, NSubDimensions, NSubDimensions > TransformType;
typedef typename TransformType::Pointer TransformTypePointer;
/* Types common to both container and sub transforms */
/** Scalar type. */
typedef typename Superclass::ScalarType ScalarType;
/** Parameters type. */
typedef typename Superclass::ParametersType ParametersType;
typedef typename Superclass::ParametersValueType ParametersValueType;
/** Derivative type */
typedef typename Superclass::DerivativeType DerivativeType;
/** Jacobian type. */
typedef typename Superclass::JacobianType JacobianType;
/** Transform category type. */
typedef typename Superclass::TransformCategoryType TransformCategoryType;
/* Types relative to the container transform. */
/** InverseTransform type. */
typedef typename Superclass::InverseTransformBasePointer InverseTransformBasePointer;
/** Standard coordinate point type for this class. */
typedef typename Superclass::InputPointType InputPointType;
typedef typename Superclass::OutputPointType OutputPointType;
/** Standard vector type for this class. */
typedef typename Superclass::InputVectorType InputVectorType;
typedef typename Superclass::OutputVectorType OutputVectorType;
/** Standard covariant vector type for this class */
typedef typename Superclass::InputCovariantVectorType InputCovariantVectorType;
typedef typename Superclass::OutputCovariantVectorType OutputCovariantVectorType;
/** Standard vnl_vector type for this class. */
typedef typename Superclass::InputVnlVectorType InputVnlVectorType;
typedef typename Superclass::OutputVnlVectorType OutputVnlVectorType;
/** Standard Vectorpixel type for this class */
typedef typename Superclass::InputVectorPixelType InputVectorPixelType;
typedef typename Superclass::OutputVectorPixelType OutputVectorPixelType;
/** Standard DiffusionTensor3D typedef for this class */
typedef typename Superclass::InputDiffusionTensor3DType InputDiffusionTensor3DType;
typedef typename Superclass::OutputDiffusionTensor3DType OutputDiffusionTensor3DType;
/** Standard SymmetricSecondRankTensor typedef for this class */
typedef typename Superclass::InputSymmetricSecondRankTensorType InputSymmetricSecondRankTensorType;
typedef typename Superclass::OutputSymmetricSecondRankTensorType OutputSymmetricSecondRankTensorType;
/* Types relative to the sub transform type. */
/** InverseTransform type. */
typedef typename TransformType::InverseTransformBasePointer SubTransformInverseTransformBasePointer;
/** Transform queue type */
typedef std::deque<TransformTypePointer> TransformQueueType;
/** The number of parameters defininig this transform. */
typedef typename Superclass::NumberOfParametersType NumberOfParametersType;
/** Dimension of the domain spaces. */
itkStaticConstMacro( InputDimension, unsigned int, NDimensions );
itkStaticConstMacro( OutputDimension, unsigned int, NDimensions );
itkStaticConstMacro( SubInputDimension, unsigned int, NSubDimensions );
itkStaticConstMacro( SubOutputDimension, unsigned int, NSubDimensions );
/** Functionality for sub transforms */
/** Add transforms to the queue, as stack.
* Most-recently added transform is always at back of queue, index N-1.
*/
virtual void AddTransform( TransformType *t )
{
this->PushBackTransform( t );
}
/** Same as AddTransform */
virtual void AppendTransform( TransformType *t )
{
this->AddTransform( t );
}
/** Add transform to the front of the stack */
virtual void PrependTransform( TransformType *t )
{
this->PushFrontTransform( t );
}
/** Remove transform from the back of the queue, index N-1 */
virtual void RemoveTransform()
{
this->PopBackTransform();
}
/** Get transforms at the front and the back of the queue */
virtual const
TransformType * GetFrontTransform() const
{
return this->m_TransformQueue.front().GetPointer();
}
virtual const
TransformType * GetBackTransform() const
{
return this->m_TransformQueue.back().GetPointer();
}
virtual const
TransformTypePointer GetNthTransform( SizeValueType n ) const
{
//NOTE: By returning a smart pointer type, the use of this function can
// be a significant bottleneck in multithreaded applications.
return this->m_TransformQueue[n];
}
/** Get the Nth transform.
* \warning No bounds checking is performed. */
virtual
TransformType * GetNthTransformModifiablePointer( const SizeValueType n ) const
{
return this->m_TransformQueue[n].GetPointer();
}
virtual const
TransformType * GetNthTransformConstPointer( const SizeValueType n ) const
{
return this->m_TransformQueue[n].GetPointer();
}
/** Access transform queue */
virtual const TransformQueueType & GetTransformQueue() const
{
return this->m_TransformQueue;
}
/** Misc. functionality */
virtual bool IsTransformQueueEmpty() const
{
return this->m_TransformQueue.empty();
}
/** Return the number of sub-transforms. */
virtual SizeValueType GetNumberOfTransforms() const
{
return this->m_TransformQueue.size();
}
/** Clear the transform queue. */
virtual void ClearTransformQueue()
{
this->m_TransformQueue.clear();
this->Modified();
}
/** If all sub-transforms are linear, then the multi-transform is linear. */
virtual bool IsLinear() const;
/** If all sub-transforms are of the same category, return that category.
* Otherwise return UnknownTransformCategory. */
virtual TransformCategoryType GetTransformCategory() const;
/** Get/Set Parameter functions work on all sub-transforms.
The parameter data from each sub-transform is
concatenated into a single ParametersType object.
\note The sub-transforms are read in forward queue order,
so the returned array is ordered in the same way. That is,
first sub-transform to be added is returned first in the
parameter array.*/
virtual const ParametersType & GetParameters(void) const;
/* SetParameters for all sub-transforms.
* See GetParameters() for parameter ordering. */
virtual void SetParameters(const ParametersType & p);
/* GetFixedParameters for all sub-transforms.
* See GetParameters() for parameter ordering. */
virtual const ParametersType & GetFixedParameters(void) const;
/* SetFixedParameters for all sub-transforms.
* See GetParameters() for parameter ordering. */
virtual void SetFixedParameters(const ParametersType & fixedParameters);
/* Get total number of parameters. Sum of all sub-transforms. */
virtual NumberOfParametersType GetNumberOfParameters(void) const;
/* Get total number of local parameters, the sum of all sub-transforms. */
virtual NumberOfParametersType GetNumberOfLocalParameters(void) const;
/* Get total number of fixed parameters, the sum of all sub-transforms. */
virtual NumberOfParametersType GetNumberOfFixedParameters(void) const;
/** Update the transform's parameters by the values in \c update.
* See GetParameters() for parameter ordering. */
virtual void UpdateTransformParameters( const DerivativeType & update, ScalarType factor = 1.0 );
/** Returns a boolean indicating whether it is possible or not to compute the
* inverse of this current Transform. If it is possible, then the inverse of
* the transform is returned in the inverseTransform variable passed by the user.
* The inverse consists of the inverse of each sub-transform, in the same order
* as the forward transforms. */
bool GetInverse( Self *inverse ) const;
/** Flatten the transform queue such that there are no nested composite transforms. */
//TODO - what do we need here?
// virtual void FlattenTransformQueue();
protected:
MultiTransform();
virtual ~MultiTransform();
void PrintSelf( std::ostream& os, Indent indent ) const;
virtual void PushFrontTransform( TransformTypePointer t )
{
this->m_TransformQueue.push_front( t );
this->Modified();
}
virtual void PushBackTransform( TransformTypePointer t )
{
this->m_TransformQueue.push_back( t );
this->Modified();
}
virtual void PopFrontTransform()
{
this->m_TransformQueue.pop_front();
this->Modified();
}
virtual void PopBackTransform()
{
this->m_TransformQueue.pop_back();
this->Modified();
}
/** Transform container object. */
mutable TransformQueueType m_TransformQueue;
/** Cache to save time returning the number of local parameters */
mutable NumberOfParametersType m_NumberOfLocalParameters;
mutable ModifiedTimeType m_LocalParametersUpdateTime;
private:
MultiTransform( const Self & ); // purposely not implemented
void operator=( const Self & ); // purposely not implemented
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMultiTransform.hxx"
#endif
#endif // __itkMultiTransform_h
|