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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 itkGaussianRandomSpatialNeighborSubsampler_h
#define itkGaussianRandomSpatialNeighborSubsampler_h
#include "itkUniformRandomSpatialNeighborSubsampler.h"
namespace itk {
namespace Statistics {
/** \class GaussianRandomSpatialNeighborSubsampler
* \brief A subsampler that randomly selects points
* according to a gaussian distribution
* within the specified radius of the query point.
*
* This class derives from UniformRandomNeighborSubsampler and
* overrides the GetIntegerVariate method to randomly select
* points according to a gaussian distribution
* within the Radius given by SetRadius(radius)
* as long as that point is also within the RegionConstraint.
* Use SetVariance(variance) to provide the variance of the
* gaussian distribution.
*
* \sa SubsamplerBase, RegionConstrainedSubsampler
* \sa SpatialNeighborSubsampler
* \sa UniformRandomSpatialNeighborSubsampler
* \ingroup ITKStatistics
*/
template < typename TSample, typename TRegion >
class ITK_TEMPLATE_EXPORT GaussianRandomSpatialNeighborSubsampler : public UniformRandomSpatialNeighborSubsampler<TSample, TRegion>
{
public:
/** Standard class typedefs */
typedef GaussianRandomSpatialNeighborSubsampler<TSample, TRegion> Self;
typedef UniformRandomSpatialNeighborSubsampler<TSample, TRegion> Superclass;
typedef typename Superclass::Baseclass Baseclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods) */
itkTypeMacro(GaussianRandomSpatialNeighborSubsampler,
UniformRandomSpatialNeighborSubsampler);
/** 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 Superclass::SearchSizeType SearchSizeType;
typedef typename Superclass::RandomIntType RandomIntType;
/** typedefs related to image region */
typedef typename Superclass::RadiusType RadiusType;
typedef typename Superclass::RegionType RegionType;
typedef typename Superclass::IndexType IndexType;
typedef typename Superclass::SizeType SizeType;
typedef typename Superclass::ImageHelperType ImageHelperType;
typedef double RealType;
typedef typename Superclass::RandomGeneratorType RandomGeneratorType;
/** Default sampling variance */
itkStaticConstMacro(DefaultVariance, int, 900);
/** Set the variance */
itkSetMacro(Variance, RealType);
/** Get the variance */
itkGetConstMacro(Variance, RealType);
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;
GaussianRandomSpatialNeighborSubsampler();
virtual ~GaussianRandomSpatialNeighborSubsampler() ITK_OVERRIDE {};
virtual void PrintSelf(std::ostream& os, Indent indent) const ITK_OVERRIDE;
/** method to randomly generate an integer in the closed range
* [0, upperBound]
* usign a gaussian selection method. */
virtual RandomIntType GetIntegerVariate(RandomIntType lowerBound,
RandomIntType upperBound,
RandomIntType mean) ITK_OVERRIDE;
RealType m_Variance;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(GaussianRandomSpatialNeighborSubsampler);
}; // end of class GaussianRandomSpatialNeighborSubsampler
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGaussianRandomSpatialNeighborSubsampler.hxx"
#endif
#endif
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