itkWeightedCovarianceSampleFilter.h

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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
 *
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 *  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.
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#ifndef itkWeightedCovarianceSampleFilter_h
#define itkWeightedCovarianceSampleFilter_h

#include "itkFunctionBase.h"
#include "itkCovarianceSampleFilter.h"
#include "itkDataObjectDecorator.h"

namespace itk
{
namespace Statistics
{
template< typename TSample >
class ITK_TEMPLATE_EXPORT WeightedCovarianceSampleFilter:
  public CovarianceSampleFilter< TSample >
{
public:
  ITK_DISALLOW_COPY_AND_ASSIGN(WeightedCovarianceSampleFilter);

  using Self = WeightedCovarianceSampleFilter;
  using Superclass = CovarianceSampleFilter< TSample >;
  using Pointer = SmartPointer< Self >;
  using ConstPointer = SmartPointer< const Self >;

  itkTypeMacro(WeightedCovarianceSampleFilter, CovarianceSampleFilter);
  itkNewMacro(Self);

  using SampleType = typename Superclass::SampleType;
  using MeasurementVectorType = typename Superclass::MeasurementVectorType;
  using MeasurementVectorSizeType = typename Superclass::MeasurementVectorSizeType;
  using MeasurementType = typename Superclass::MeasurementType;

  using MeasurementVectorRealType = typename Superclass::MeasurementVectorRealType;
  using MeasurementRealType = typename Superclass::MeasurementRealType;


  using WeightValueType = double;


  using WeightArrayType = Array< WeightValueType >;

  using InputWeightArrayObjectType = SimpleDataObjectDecorator< WeightArrayType >;

  itkSetGetDecoratedInputMacro(Weights, WeightArrayType);


  using WeightingFunctionType = FunctionBase< MeasurementVectorType, WeightValueType >;

  using InputWeightingFunctionObjectType = DataObjectDecorator< WeightingFunctionType >;

  itkSetGetDecoratedObjectInputMacro(WeightingFunction, WeightingFunctionType);


  using MatrixType = typename Superclass::MatrixType;
  using MatrixDecoratedType = typename Superclass::MatrixDecoratedType;

  using MeasurementVectorDecoratedType = typename Superclass::MeasurementVectorDecoratedType;
  using OutputType = typename Superclass::OutputType;

protected:
  WeightedCovarianceSampleFilter();
  ~WeightedCovarianceSampleFilter() override = default;
  void PrintSelf(std::ostream & os, Indent indent) const override;

  void GenerateData() override;

  void ComputeCovarianceMatrixWithWeightingFunction();

  void ComputeCovarianceMatrixWithWeights();
};  // end of class
} // end of namespace Statistics
} // end of namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkWeightedCovarianceSampleFilter.hxx"
#endif

#endif