/*========================================================================= * * 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 itkUniformRandomSpatialNeighborSubsampler_h #define itkUniformRandomSpatialNeighborSubsampler_h #include "itkSpatialNeighborSubsampler.h" #include "itkMersenneTwisterRandomVariateGenerator.h" namespace itk { namespace Statistics { /** \class UniformRandomSpatialNeighborSubsampler * \brief A subsampler that uniformly randomly selects points * within the specified radius of the query point. * * This class derives from SpatialNeighborSubsampler and * randomly selects points according to a uniform distribution * within the Radius given by SetRadius(radius) * as long as that point is also within the RegionConstraint. * * This class assumes that the instance identifiers in the input * sample correspond to the result of ComputeOffset() of the index * of the corresponding point in the image region. * * \sa SubsamplerBase, RegionConstrainedSubsampler * \sa SpatialNeighborSubsampler * \sa GaussianRandomSpatialNeighborSubsampler * \ingroup ITKStatistics */ template < typename TSample, typename TRegion > class ITK_TEMPLATE_EXPORT UniformRandomSpatialNeighborSubsampler : public SpatialNeighborSubsampler { public: /** Standard class typedefs */ typedef UniformRandomSpatialNeighborSubsampler Self; typedef SpatialNeighborSubsampler Superclass; typedef typename Superclass::Baseclass Baseclass; typedef SmartPointer Pointer; typedef SmartPointer ConstPointer; /** Run-time type information (and related methods) */ itkTypeMacro(UniformRandomSpatialNeighborSubsampler, SpatialNeighborSubsampler); /** Method for creation through the object factory. */ itkNewMacro(Self); /** typedef alias for the source data container */ typedef typename Superclass::SampleType SampleType; typedef typename Superclass::SampleConstPointer SampleConstPointer; typedef typename Superclass::MeasurementVectorType MeasurementVectorType; typedef typename Superclass::InstanceIdentifier InstanceIdentifier; typedef typename Superclass::SubsampleType SubsampleType; typedef typename Superclass::SubsamplePointer SubsamplePointer; typedef typename Superclass::SubsampleConstIterator SubsampleConstIterator; typedef typename Superclass::InstanceIdentifierHolder InstanceIdentifierHolder; typedef typename Baseclass::SeedType SeedType; typedef unsigned long SearchSizeType; typedef unsigned int RandomIntType; /** typedefs related to image region */ typedef typename Superclass::RadiusType RadiusType; typedef typename Superclass::RegionType RegionType; typedef typename Superclass::IndexType IndexType; typedef typename Superclass::IndexValueType IndexValueType; typedef typename Superclass::SizeType SizeType; typedef typename Superclass::ImageHelperType ImageHelperType; /** typedefs related to random variate generator */ typedef itk::Statistics::MersenneTwisterRandomVariateGenerator RandomGeneratorType; virtual void SetSeed(const SeedType seed) ITK_OVERRIDE { Superclass::SetSeed(seed); this->m_RandomNumberGenerator->SetSeed(this->m_Seed); } virtual void SetUseClockForSeed(const bool& useClock) { if (useClock != this->m_UseClockForSeed) { this->m_UseClockForSeed = useClock; if (this->m_UseClockForSeed) { this->m_RandomNumberGenerator->SetSeed(); } this->Modified(); } } itkBooleanMacro(UseClockForSeed); itkGetConstMacro(UseClockForSeed, bool); virtual void SetNumberOfResultsRequested(const SearchSizeType& numberRequested) { itkDebugMacro("setting NumberOfResultsRequested to " << numberRequested); if (this->m_RequestMaximumNumberOfResults || this->m_NumberOfResultsRequested != numberRequested) { this->m_NumberOfResultsRequested = numberRequested; this->m_RequestMaximumNumberOfResults = false; this->Modified(); } } itkGetConstMacro(NumberOfResultsRequested, SearchSizeType); /** Main Search method that MUST be implemented by each subclass * The Search method will find all points similar to query and return * them as a Subsample. The definition of similar will be subclass- * specific. And could mean spatial similarity or feature similarity * etc. */ virtual void Search(const InstanceIdentifier& query, SubsamplePointer& results) ITK_OVERRIDE; protected: /** * Clone the current subsampler. * This does a complete copy of the subsampler state * to the new subsampler */ virtual typename LightObject::Pointer InternalClone() const ITK_OVERRIDE; UniformRandomSpatialNeighborSubsampler(); virtual ~UniformRandomSpatialNeighborSubsampler() ITK_OVERRIDE {}; virtual void PrintSelf(std::ostream& os, Indent indent) const ITK_OVERRIDE; /** method to randomly generate an integer in the closed range * [lowerBound, upperBound] * using a uniform sampling selection method. * override this method to do gaussian selection */ virtual RandomIntType GetIntegerVariate(RandomIntType lowerBound, RandomIntType upperBound, RandomIntType itkNotUsed(mean)); SearchSizeType m_NumberOfResultsRequested; RandomGeneratorType::Pointer m_RandomNumberGenerator; bool m_UseClockForSeed; private: ITK_DISALLOW_COPY_AND_ASSIGN(UniformRandomSpatialNeighborSubsampler); }; // end of class UniformRandomSpatialNeighborSubsampler } // end of namespace Statistics } // end of namespace itk #ifndef ITK_MANUAL_INSTANTIATION #include "itkUniformRandomSpatialNeighborSubsampler.hxx" #endif #endif