/usr/include/ITK-4.5/itkSubsamplerBase.h is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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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 __itkSubsamplerBase_h
#define __itkSubsamplerBase_h
#include "itkObject.h"
#include "itkSample.h"
#include "itkSubsample.h"
namespace itk {
namespace Statistics {
/** \class SubsamplerBase
* \brief This is the base subsampler class which defines the subsampler API.
*
* This class will search a Sample provided by SetSample and return a
* Subsample that are related in some way to the queried value.
* Some examples of subsampling strategies include uniform random selection,
* selection based on KdTree, and selection based on spatial proximity.
*
* This is an Abstract class that can not be instantiated.
* There are multiple subsamplers that derive from this class and
* provide specific implementations of subsampling strategies.
*
* \sa RegionConstrainedSubsampler, SpatialNeighborSubsampler
* \sa GaussianRandomSpatialNeighborSubsampler
* \sa UniformRandomSpatialNeighborSubsampler
* \ingroup ITKStatistics
*/
template < typename TSample >
class SubsamplerBase : public Object
{
public:
/** Standard class typedefs */
typedef SubsamplerBase Self;
typedef Object Superclass;
typedef Self Baseclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods) */
itkTypeMacro(SubsamplerBase, Object);
/** implement type-specific clone method */
itkCloneMacro(Self);
/** typedef alias for the source data container */
typedef TSample SampleType;
typedef typename SampleType::ConstPointer SampleConstPointer;
typedef typename TSample::MeasurementVectorType MeasurementVectorType;
typedef typename TSample::InstanceIdentifier InstanceIdentifier;
typedef Subsample<TSample> SubsampleType;
typedef typename SubsampleType::Pointer SubsamplePointer;
typedef typename SubsampleType::ConstIterator SubsampleConstIterator;
typedef typename SubsampleType::InstanceIdentifierHolder InstanceIdentifierHolder;
typedef unsigned int SeedType;
/** Plug in the actual sample data */
itkSetConstObjectMacro(Sample, SampleType);
itkGetConstObjectMacro(Sample, SampleType);
/** Indicate whether the Search method can return the query point
* as one element of the Subsample
*/
itkSetMacro(CanSelectQuery, bool);
itkGetConstReferenceMacro(CanSelectQuery, bool);
itkBooleanMacro(CanSelectQuery);
/** Provide an interface to set the seed.
* The seed value will be used by subclasses where appropriate.
*/
itkSetMacro(Seed, SeedType);
itkGetConstReferenceMacro(Seed, SeedType);
/** Specify whether the subsampler should return all possible
* matches. */
virtual void RequestMaximumNumberOfResults()
{
if (!this->m_RequestMaximumNumberOfResults)
{
this->m_RequestMaximumNumberOfResults = true;
this->Modified();
}
}
/** 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) = 0;
protected:
/**
* Clone the current subsampler.
* This does a complete copy of the subsampler state
* to the new subsampler
*/
virtual typename LightObject::Pointer InternalClone() const;
SubsamplerBase();
virtual ~SubsamplerBase() {};
virtual void PrintSelf(std::ostream& os, Indent indent) const;
SampleConstPointer m_Sample;
bool m_RequestMaximumNumberOfResults;
bool m_CanSelectQuery;
SeedType m_Seed;
private:
SubsamplerBase(const Self&); // purposely not implemented
void operator=(const Self&); // purposely not implemented
}; // end of class SubsamplerBase
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSubsamplerBase.hxx"
#endif
#endif
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