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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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:
ITK_DISALLOW_COPY_AND_MOVE(GaussianRandomSpatialNeighborSubsampler);
/** Standard class type aliases */
using Self = GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>;
using Superclass = UniformRandomSpatialNeighborSubsampler<TSample, TRegion>;
using Baseclass = typename Superclass::Baseclass;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(GaussianRandomSpatialNeighborSubsampler);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** type alias alias for the source data container */
using typename Superclass::SampleType;
using typename Superclass::SampleConstPointer;
using typename Superclass::MeasurementVectorType;
using typename Superclass::InstanceIdentifier;
using typename Superclass::SubsampleType;
using typename Superclass::SubsamplePointer;
using typename Superclass::SubsampleConstIterator;
using typename Superclass::InstanceIdentifierHolder;
using typename Superclass::SearchSizeType;
using typename Superclass::RandomIntType;
/** type alias related to image region */
using typename Superclass::RadiusType;
using typename Superclass::RegionType;
using typename Superclass::IndexType;
using typename Superclass::SizeType;
using typename Superclass::ImageHelperType;
using RealType = double;
using typename Superclass::RandomGeneratorType;
/** Default sampling variance */
static constexpr int DefaultVariance = 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
*/
typename LightObject::Pointer
InternalClone() const override;
GaussianRandomSpatialNeighborSubsampler();
~GaussianRandomSpatialNeighborSubsampler() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** method to randomly generate an integer in the closed range
* [0, upperBound]
* using a gaussian selection method. */
RandomIntType
GetIntegerVariate(RandomIntType lowerBound, RandomIntType upperBound, RandomIntType mean) override;
RealType m_Variance{};
}; // 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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