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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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 itkGenericMultiResolutionPyramidImageFilter_h
#define itkGenericMultiResolutionPyramidImageFilter_h
#include "itkMultiResolutionPyramidImageFilter.h"
#include "itkSmoothingRecursiveGaussianImageFilter.h"
namespace itk
{
/** \class GenericMultiResolutionPyramidImageFilter
* \brief Framework for creating images in a multi-resolution
* pyramid
*
* GenericMultiResolutionPyramidImageFilter provides a generic framework to
* to create a image pyramid according to a user defined multi-resolution
* rescale and smoothing schedules.
*
* The multi-resolution rescale schedule is specified in terms of
* shrink factors at each multi-resolution level for each dimension
*
* The rescale schedule is stored as an unsigned int matrix.
* An element of the table can be access via the double bracket
* notation: schedule[level][dimension]
* For example:
* 8 4 4
* 4 4 2
*
* is a rescale schedule for two computation level. In the first (coarest)
* level the image is reduce by a factor of 8 in the column dimension,
* factor of 4 in the row dimension and factor of 4 in the slice dimension.
* In the second level, the image is reduce by a factor of 4 in the column
* dimension, 4 is the row dimension and 2 in the slice dimension.
*
* The method SetNumberOfLevels() set the number of
* computation levels in the pyramid. This method will
* allocate memory for the multi-resolution rescale schedule table.
* This method generates defaults tables with the starting
* shrink factor for all dimension set to 2^(NumberOfLevel - 1)
* All factors are halved for all subsequent levels.
* For example if the number of levels was set to 4, the default table is:
* 8 8 8
* 4 4 4
* 2 2 2
* 1 1 1
*
* The user can get a copy of the rescale schedule via GetRescaleSchedule()
* They may make alteration and reset it using SetRescaleSchedule()
*
* To generate each output image, recursive Gaussian smoothing is performed
* using a SmoothingRecursiveGaussianImageFilter.
*
* The user can make alteration on smoothing schedule via SetSmoothingSchedule()
* For example, for 4 levels smoothing schedule would be:
* 3 4 5
* 2 2 2
* 0 1 2
* 0 0 0
*
* In the first level all sigma are set to the same value 2 across each axis.
* Sigma is measured in the units of image spacing. Use different values along
* each axis if you would like perform nonidentical smoothing (see level 1)
* Although for the level 2 no smoothing will be performed because all sigma
* values are equal zeros. For the last level 3 smoothing will be performed with
* sigma 0 for x axis.
*
* The default smoothing schedule is derived from the rescale schedule, where
* each element is computed as: 0.5 * rescale_factor * image_spacing.
*
* The user can get a copy of the schedule via GetSmoothingSchedule()
*
* The smoothed image is then downsampled using a ResampleImageFilter or
* ShrinkImageFilter depending on SetUseShrinkImageFilter().
*
* When this filter is updated, NumberOfLevels outputs are produced.
* The N'th output correspond to the N'th level of the pyramid.
*
* The user can influence whether or not rescale schedule or smoothing schedule
* will be used via SetRescaleScheduleToUnity() and
* SetSmoothingScheduleToZero() methods.
*
* The GenericMultiResolutionPyramidImageFilter provides direct control to
* compute only single level of the pyramid via SetCurrentLevel() and
* SetComputeOnlyForCurrentLevel() methods.
*
* \author Denis P. Shamonin and Marius Staring. Division of Image Processing,
* Department of Radiology, Leiden, The Netherlands
*
* This implementation was taken from elastix (http://elastix.dev/).
*
* \note This work was funded by the Netherlands Organisation for
* Scientific Research (NWO NRG-2010.02 and NWO 639.021.124).
*
* \sa SmoothingRecursiveGaussianImageFilter
* \sa ResampleImageFilter
* \sa ShrinkImageFilter
*
* \ingroup PyramidImageFilter MultiThreaded Streamed
* \ingroup ITKRegistrationCommon
*/
template <class TInputImage, class TOutputImage, class TPrecisionType = double>
class ITK_TEMPLATE_EXPORT GenericMultiResolutionPyramidImageFilter
: public MultiResolutionPyramidImageFilter<TInputImage, TOutputImage>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(GenericMultiResolutionPyramidImageFilter);
/** Standard class typedefs. */
using Self = GenericMultiResolutionPyramidImageFilter;
using Superclass = MultiResolutionPyramidImageFilter<TInputImage, TOutputImage>;
using SuperSuperclass = typename Superclass::Superclass;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(GenericMultiResolutionPyramidImageFilter, MultiResolutionPyramidImageFilter);
/** ImageDimension enumeration. */
itkStaticConstMacro(ImageDimension, unsigned int, TInputImage::ImageDimension);
itkStaticConstMacro(OutputImageDimension, unsigned int, TOutputImage::ImageDimension);
/** Inherit types from Superclass. */
using typename Superclass::ScheduleType;
using typename Superclass::InputImageType;
using typename Superclass::OutputImageType;
using typename Superclass::InputImagePointer;
using typename Superclass::OutputImagePointer;
using typename Superclass::InputImageConstPointer;
using SpacingType = typename Superclass::InputImageType::SpacingType;
using PixelType = typename InputImageType::PixelType;
using ScalarRealType = typename NumericTraits<PixelType>::ScalarRealType;
/** SmoothingScheduleType typedef support. */
using SmoothingScheduleType = vnl_matrix<ScalarRealType>;
using RescaleScheduleType = ScheduleType;
/** Define the type for the sigma array. */
using SigmaArrayType = FixedArray<ScalarRealType, Self::ImageDimension>;
using RescaleFactorArrayType = SigmaArrayType;
/** Set a multi-resolution schedule. The input schedule must have only
* ImageDimension number of columns and NumberOfLevels number of rows. For
* each dimension, the shrink factor must be non-increasing with respect to
* subsequent levels. This function will clamp shrink factors to satisfy
* this condition. All shrink factors less than one will also be clamped
* to the value of 1.
*/
void
SetSchedule(const ScheduleType & schedule) override;
/** Set a multi-resolution rescale schedule. The input schedule must have only
* ImageDimension number of columns and NumberOfLevels number of rows. For
* each dimension, the shrink factor must be non-increasing with respect to
* subsequent levels. This function will clamp shrink factors to satisfy
* this condition. All shrink factors less than one will also be clamped
* to the value of 1.
*/
virtual void
SetRescaleSchedule(const RescaleScheduleType & schedule);
/** Set a multi-resolution rescale schedule with ones. */
virtual void
SetRescaleScheduleToUnity();
/** Get the multi-resolution rescale schedule. */
const RescaleScheduleType &
GetRescaleSchedule() const
{
return this->m_Schedule;
}
/** Set a multi-resolution smoothing schedule. The input schedule must have only
* ImageDimension number of columns and NumberOfLevels number of rows.
* All sigmas less than 0 will also be clamped to the value of 0.
*/
virtual void
SetSmoothingSchedule(const SmoothingScheduleType & schedule);
/** Set a multi-resolution rescale schedule with zeros. */
virtual void
SetSmoothingScheduleToZero();
/** Get the multi-resolution smoothing schedule. */
itkGetConstReferenceMacro(SmoothingSchedule, SmoothingScheduleType);
/** Set the number of multi-resolution levels. The matrices containing the
* schedule will be resized accordingly. The schedules are populated with
* default values.
*/
void
SetNumberOfLevels(unsigned int num) override;
/** Set the current multi-resolution levels. The current level is clamped to
* a total number of levels.
*/
virtual void
SetCurrentLevel(unsigned int level);
/** Get the current multi-resolution level. */
itkGetConstReferenceMacro(CurrentLevel, unsigned int);
/** Set a control on whether a current level will be used. */
virtual void
SetComputeOnlyForCurrentLevel(const bool _arg);
itkGetConstMacro(ComputeOnlyForCurrentLevel, bool);
itkBooleanMacro(ComputeOnlyForCurrentLevel);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(SameDimensionCheck, (Concept::SameDimension<ImageDimension, OutputImageDimension>));
itkConceptMacro(OutputHasNumericTraitsCheck, (Concept::HasNumericTraits<typename TOutputImage::PixelType>));
/** End concept checking */
#endif
protected:
GenericMultiResolutionPyramidImageFilter();
~GenericMultiResolutionPyramidImageFilter() override = default;
/** PrintSelf. */
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** GenericMultiResolutionPyramidImageFilter may produce images which are of
* different resolution and different pixel spacing than its input image.
* As such, GenericMultiResolutionPyramidImageFilter needs to provide an
* implementation for GenerateOutputInformation() in order to inform the
* pipeline execution model. The original documentation of this method is
* below. \sa ProcessObject::GenerateOutputInformaton().
*/
void
GenerateOutputInformation() override;
/** Given one output whose requested region has been set, this method sets
* the requested region for the remaining output images. The original
* documentation of this method is below. \sa
* ProcessObject::GenerateOutputRequestedRegion().
*/
void
GenerateOutputRequestedRegion(DataObject * output) override;
/** Overwrite the Superclass implementation: no padding required. */
void
GenerateInputRequestedRegion() override;
/** Generate the output data. */
void
GenerateData() override;
/** Release the output data when the current level is used. */
void
ReleaseOutputs();
SmoothingScheduleType m_SmoothingSchedule{};
unsigned int m_CurrentLevel{};
bool m_ComputeOnlyForCurrentLevel{};
bool m_SmoothingScheduleDefined{};
private:
/** Typedef for smoother. Smooth always happens first, then only from
* InputImageType to OutputImageType is possible.
*/
using SmootherType = SmoothingRecursiveGaussianImageFilter<InputImageType, OutputImageType>;
/** Typedefs for shrinker or resample. If smoother has not been used, then
* we have to use InputImageType to OutputImageType,
* otherwise OutputImageType to OutputImageType.
*/
using ImageToImageFilterSameTypes = ImageToImageFilter<OutputImageType, OutputImageType>;
using ImageToImageFilterDifferentTypes = ImageToImageFilter<InputImageType, OutputImageType>;
/** Smooth image at current level. Returns true if performed.
* This method does not perform execution.
*/
bool
SetupSmoother(const unsigned int level,
typename SmootherType::Pointer & smoother,
const InputImageConstPointer & input);
/** Shrink or Resample image at current level. Returns 1 or 2 if performed,
* 0 otherwise. This method does not perform execution.
*/
int
SetupShrinkerOrResampler(const unsigned int level,
typename SmootherType::Pointer & smoother,
const bool sameType,
const InputImageConstPointer & input,
const OutputImagePointer & outputPtr,
typename ImageToImageFilterSameTypes::Pointer & rescaleSameTypes,
typename ImageToImageFilterDifferentTypes::Pointer & rescaleDifferentTypes);
/** Defines Shrink or Resample filters. */
void
DefineShrinkerOrResampler(const bool sameType,
const RescaleFactorArrayType & shrinkFactors,
const OutputImagePointer & outputPtr,
typename ImageToImageFilterSameTypes::Pointer & rescaleSameTypes,
typename ImageToImageFilterDifferentTypes::Pointer & rescaleDifferentTypes);
/** Initialize m_SmoothingSchedule to default values for backward compatibility. */
void
SetSmoothingScheduleToDefault();
/** Checks whether we have to compute anything based on
* m_ComputeOnlyForCurrentLevel and m_CurrentLevel.
*/
bool
ComputeForCurrentLevel(const unsigned int level) const;
/** Backward compatibility method to compute default sigma value. */
double
GetDefaultSigma(const unsigned int level,
const unsigned int dim,
const unsigned int * factors,
const SpacingType & spacing) const;
/** Get sigmas from m_SmoothingSchedule for the level. */
void
GetSigma(const unsigned int level, SigmaArrayType & sigmaArray) const;
/** Get shrink factors from m_Schedule for the level. */
void
GetShrinkFactors(const unsigned int level, RescaleFactorArrayType & shrinkFactors) const;
/** Returns true if all elements of sigmaArray are zeros,
* otherwise return false.
*/
bool
AreSigmasAllZeros(const SigmaArrayType & sigmaArray) const;
/** Returns true if all elements of rescaleFactorArray are ones,
* otherwise return false.
*/
bool
AreRescaleFactorsAllOnes(const RescaleFactorArrayType & rescaleFactorArray) const;
/** Returns true if smooth has been used in pipeline, otherwise return false. */
bool
IsSmoothingUsed() const;
/** Returns true if rescale has been used in pipeline, otherwise return false. */
bool
IsRescaleUsed() const;
};
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkGenericMultiResolutionPyramidImageFilter.hxx"
#endif
#endif
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