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/*=========================================================================
*
* 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 itkMaskFeaturePointSelectionFilter_h
#define itkMaskFeaturePointSelectionFilter_h
#include "itkImageToMeshFilter.h"
#include "itkDefaultDynamicMeshTraits.h"
#include "itkImage.h"
#include "itkPointSet.h"
#include "itkImageRegionConstIterator.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkMatrix.h"
#include "itkConceptChecking.h"
#include <vector>
namespace itk
{
/** \class MaskFeaturePointSelectionFilter
* \brief Generate a PointSet containing the feature points
* selected from a masked 3D input image.
*
* MaskFeaturePointSelectionFilter takes 3D image and 3D mask as inputs
* and generates a PointSet of feature points as output.
*
* This filter is intended to be used for initializing the process of
* Physics-Based Non-Rigid Registration. It selects a fraction of non-masked
* points with highest variance. Optionally, tensors are computed for each
* point and stored as pixel values. [ M. Bierling, Displacement estimation
* by hierarchical block matching, Proc. SPIE Vis. Comm. and Image Proc.,
* vol. 1001, pp. 942-951, 1988. ].
*
* The filter is templated over input image and mask and output pointset.
* \author Andriy Kot, Center for Real-Time Computing, Old Dominion University,
* Norfolk, VA
*
* \sa BlockMatchingImageFilter
*
* \ingroup ImageFeatureExtraction
* \ingroup ITKImageFeature
*/
template<
typename TImage,
typename TMask = TImage,
typename TFeatures = PointSet< Matrix< SpacePrecisionType, TImage::ImageDimension, TImage::ImageDimension>, TImage::ImageDimension > >
class ITK_TEMPLATE_EXPORT MaskFeaturePointSelectionFilter: public ImageToMeshFilter< TImage, TFeatures >
{
public:
/** Standard class typedefs. */
typedef ImageToMeshFilter< TImage, TFeatures > Superclass;
typedef MaskFeaturePointSelectionFilter Self;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(MaskFeaturePointSelectionFilter, ImageToMeshFilter);
itkStaticConstMacro(ImageDimension, unsigned, 3u);
/** Not input specific typedefs */
typedef ImageRegion< ImageDimension > RegionType;
typedef Size< ImageDimension > SizeType;
typedef Index< ImageDimension > IndexType;
typedef Offset< ImageDimension > OffsetType;
/** Image typedefs */
typedef TImage ImageType;
typedef typename ImageType::ConstPointer ImageConstPointer;
typedef typename ImageType::PixelType ImagePixelType;
/** Mask image typedefs */
typedef TMask MaskType;
typedef typename MaskType::ConstPointer MaskConstPointer;
typedef typename MaskType::PixelType MaskPixelType;
/** Feature points pointset typedefs */
typedef TFeatures FeaturePointsType;
typedef typename FeaturePointsType::Pointer FeaturePointsPointer;
typedef typename FeaturePointsType::PixelType StructureTensorType;
typedef typename FeaturePointsType::PointType PointType;
/** connectivity constants */
enum
{
VERTEX_CONNECTIVITY = 0,
EDGE_CONNECTIVITY = 1,
FACE_CONNECTIVITY = 2
};
/** set/get non-connectivity with radius == 1 of dimension connect,
* 0 <= connect < ImageDimension; 0 is vertex connectivity (e.g., 26 in 3D),
* 1 is edge connectivity (e.g., 18 in 3D), 2 is face connectivity
* (e.g., 6 in 3D), etc */
itkSetMacro(NonConnectivity, unsigned);
itkGetMacro(NonConnectivity, unsigned);
/** set/get mask */
itkSetInputMacro(MaskImage, MaskType);
itkGetInputMacro(MaskImage, MaskType);
/** set/get half size of the block for calculating variance */
itkSetMacro(BlockRadius, SizeType);
itkGetConstReferenceMacro(BlockRadius, SizeType);
/** enable/disable tensor computations */
itkSetMacro(ComputeStructureTensors, bool);
itkGetMacro(ComputeStructureTensors, bool);
itkBooleanMacro(ComputeStructureTensors);
/** set fraction of eligible points to select */
itkSetClampMacro(SelectFraction, double, 0, 1);
itkGetMacro(SelectFraction, double);
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( ImageDimensionShouldBe3,
( Concept::SameDimension< TImage::ImageDimension, 3u > ) );
itkConceptMacro( MaskDimensionShouldBe3,
( Concept::SameDimension< TMask::ImageDimension, 3u > ) );
itkConceptMacro( PointDimensionShouldBe3,
( Concept::SameDimension< TFeatures::PointType::PointDimension, 3u > ) );
// End concept checking
#endif
protected:
MaskFeaturePointSelectionFilter();
~MaskFeaturePointSelectionFilter() ITK_OVERRIDE;
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
void GenerateData() ITK_OVERRIDE;
/** Compute the connectivity offsets so that points can be excluded during
* the execution of the filter. This method must be called after invoking
* SetNonConnectivity().
*/
void ComputeConnectivityOffsets( void );
private:
ITK_DISALLOW_COPY_AND_ASSIGN(MaskFeaturePointSelectionFilter);
unsigned m_NonConnectivity;
std::vector< OffsetType > m_NonConnectivityOffsets;
SizeType m_BlockRadius;
double m_SelectFraction;
bool m_ComputeStructureTensors;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMaskFeaturePointSelectionFilter.hxx"
#endif
#endif
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