itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h

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/*============================================================================
 
The Medical Imaging Interaction Toolkit (MITK)
 
Copyright (c) German Cancer Research Center (DKFZ)
All rights reserved.
 
Use of this source code is governed by a 3-clause BSD license that can be
found in the LICENSE file.
 
============================================================================*/
 
/*=========================================================================
*
*  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
*
*         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 itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter_h
#define itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter_h
 
#include <itkHistogram.h>
#include <itkMacro.h>
#include <itkProcessObject.h>
#include <itkSimpleDataObjectDecorator.h>
 
namespace itk {
  namespace Statistics {
    template< typename THistogram >
    class EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter : public ProcessObject
    {
    public:
      typedef EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter     Self;
      typedef ProcessObject                          Superclass;
      typedef SmartPointer<Self>                     Pointer;
      typedef SmartPointer<const Self>               ConstPointer;
 
      itkTypeMacro( EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter, ProcessObject );
 
      itkNewMacro( Self );
 
      typedef THistogram                                      HistogramType;
      typedef typename HistogramType::Pointer                 HistogramPointer;
      typedef typename HistogramType::ConstPointer            HistogramConstPointer;
      typedef typename HistogramType::MeasurementType         MeasurementType;
      typedef typename HistogramType::MeasurementVectorType   MeasurementVectorType;
      typedef typename HistogramType::IndexType               IndexType;
      typedef typename HistogramType::
        TotalAbsoluteFrequencyType                            FrequencyType;
 
      using Superclass::SetInput;
      void SetInput (const HistogramType * histogram );
      const HistogramType * GetInput() const;
 
      typedef DataObject::Pointer                   DataObjectPointer;
 
      typedef SimpleDataObjectDecorator<MeasurementType>     MeasurementObjectType;
 
      MeasurementType GetCoarseness() const;
      const MeasurementObjectType* GetCoarsenessOutput() const;
 
      MeasurementType GetContrast() const;
      const MeasurementObjectType* GetContrastOutput() const;
 
      MeasurementType GetBusyness() const;
      const MeasurementObjectType* GetBusynessOutput() const;
 
      MeasurementType GetComplexity() const;
      const MeasurementObjectType* GetComplexityOutput() const;
 
      MeasurementType GetStrength() const;
      const MeasurementObjectType* GetStrengthOutput() const;
 
      itkGetMacro( TotalNumberOfValidVoxels, unsigned long );
 
      itkGetConstMacro(NumberOfVoxels, unsigned long);
      itkSetMacro(NumberOfVoxels, unsigned long);
 
      void SetSiMatrix(double* matrix)
      {
        m_siMatrix = matrix;
      }
 
      typedef enum
      {
        Coarseness,
        Contrast,
        Busyness,
        Complexity,
        Strength
      }  NeighbourhoodGreyLevelDifferenceFeatureName;
 
      MeasurementType GetFeature( NeighbourhoodGreyLevelDifferenceFeatureName name );
 
    protected:
      EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter();
      ~EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter() override {};
      void PrintSelf(std::ostream& os, Indent indent) const ITK_OVERRIDE;
 
      typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
      using Superclass::MakeOutput;
      DataObjectPointer MakeOutput( DataObjectPointerArraySizeType ) ITK_OVERRIDE;
 
      void GenerateData() ITK_OVERRIDE;
 
    private:
      EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter(const Self&); //purposely not implemented
      void operator=(const Self&); //purposely not implemented
 
      unsigned long                           m_TotalNumberOfValidVoxels;
      unsigned long                           m_NumberOfVoxels;
 
      double*                                 m_siMatrix;
    };
  } // end of namespace Statistics
} // end of namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#include <itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.tpp>
#endif
 
#endif