itkWeightedCovarianceSampleFilter.h

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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
 *
 *         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_MOVE(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