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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 itkWeightedCentroidKdTreeGenerator_h
#define itkWeightedCentroidKdTreeGenerator_h
#include <vector>
#include "itkSubsample.h"
#include "itkKdTreeGenerator.h"
namespace itk
{
namespace Statistics
{
/** \class WeightedCentroidKdTreeGenerator
* \brief This class generates a KdTree object with centroid information.
*
* The KdTree object stores measurment vectors in a k-d tree structure
* that is a binary tree. The partition value is the median value of one
* of the k dimension (partition dimension). The partition dimension is
* determined by the spread of measurement values in each dimension. The
* partition dimension is the dimension has the widest spread. Our
* implementation of k-d tree doesn't have any construction or insertion
* logic. Users should use this class or the KdTreeGenerator class.
*
* This class is derived from the KdTreeGenerator class. The only
* difference between this class and the KdTreeGenerator class is that
* the nonterminal node type of this class is
* KdTreeWeightedCentroidNonterminalNode and that of the
* KdTreeGenerator is KdTreeNonterminalNode. Therefore, the public
* interface is identical to each other. The nonterminal node generation
* routines differ.
*
* To run this generator, users should provides the bucket size
* (SetBucketSize method) and the input sample (SetSample method). The
* Update method will run this generator. To get the resulting KdTree
* object, call the GetOutput method.
*
* <b>Recent API changes:</b>
* The static const macro to get the length of a measurement vector,
* 'MeasurementVectorSize' has been removed to allow the length of a measurement
* vector to be specified at run time. It is now obtained from the sample set
* as input. You may query this length using the function GetMeasurementVectorSize().
*
* \sa KdTree, KdTreeNode, KdTreeWeightedCentroidNonterminalNode,
* KdTreeTerminalNode, KdTreeGenerator
* \ingroup ITKStatistics
*/
template< typename TSample >
class ITK_TEMPLATE_EXPORT WeightedCentroidKdTreeGenerator:
public KdTreeGenerator< TSample >
{
public:
/** Standard class typedefs */
typedef WeightedCentroidKdTreeGenerator Self;
typedef KdTreeGenerator< TSample > Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Run-time type information (and related methods) */
itkTypeMacro(WeightedCentroidKdTreeGenerator, KdTreeGenerator);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** typedef alias for the source data container */
typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
typedef typename Superclass::MeasurementType MeasurementType;
typedef typename Superclass::SubsampleType SubsampleType;
typedef typename Superclass::SubsamplePointer SubsamplePointer;
typedef typename Superclass::KdTreeType KdTreeType;
typedef typename Superclass::KdTreeNodeType KdTreeNodeType;
protected:
/** Constructor */
WeightedCentroidKdTreeGenerator();
/** Destructor */
virtual ~WeightedCentroidKdTreeGenerator() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Nonterminal node generation routine */
virtual KdTreeNodeType * GenerateNonterminalNode(unsigned int beginIndex,
unsigned int endIndex,
MeasurementVectorType
& lowerBound,
MeasurementVectorType
& upperBound,
unsigned int level) ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(WeightedCentroidKdTreeGenerator);
MeasurementVectorType m_TempLowerBound;
MeasurementVectorType m_TempUpperBound;
MeasurementVectorType m_TempMean;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkWeightedCentroidKdTreeGenerator.hxx"
#endif
#endif
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