itkEnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter.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 itkEnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter_h
#define itkEnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter_h
 
#include <itkDataObjectDecorator.h>
 
#include <itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h>
#include <itkEnhancedScalarImageToNeighbourhoodGreyLevelDifferenceMatrixFilter.h>
 
namespace itk
{
  namespace Statistics
  {
    template< typename TImageType,
      typename THistogramFrequencyContainer = DenseFrequencyContainer2 >
    class EnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter:public ProcessObject
    {
    public:
      typedef EnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter  Self;
      typedef ProcessObject                         Superclass;
      typedef SmartPointer< Self >                  Pointer;
      typedef SmartPointer< const Self >            ConstPointer;
 
      itkTypeMacro(EnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter, ProcessObject);
 
      itkNewMacro(Self);
 
      typedef THistogramFrequencyContainer FrequencyContainerType;
      typedef TImageType                   ImageType;
      typedef typename ImageType::Pointer  ImagePointer;
 
      typedef typename ImageType::PixelType                PixelType;
      typedef typename ImageType::OffsetType               OffsetType;
      typedef VectorContainer< unsigned char, OffsetType > OffsetVector;
      typedef typename OffsetVector::Pointer               OffsetVectorPointer;
      typedef typename OffsetVector::ConstPointer          OffsetVectorConstPointer;
 
      typedef EnhancedScalarImageToNeighbourhoodGreyLevelDifferenceMatrixFilter<
        ImageType, FrequencyContainerType >               NeighbourhoodGreyLevelDifferenceMatrixFilterType;
 
      typedef typename NeighbourhoodGreyLevelDifferenceMatrixFilterType::HistogramType
        HistogramType;
 
      typedef EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< HistogramType >
        NeighbourhoodGreyLevelDifferenceFeaturesFilterType;
 
      typedef short                                    NeighbourhoodGreyLevelDifferenceFeatureName;
      typedef VectorContainer<unsigned char,
        NeighbourhoodGreyLevelDifferenceFeatureName>                          FeatureNameVector;
      typedef typename FeatureNameVector::Pointer      FeatureNameVectorPointer;
      typedef typename FeatureNameVector::ConstPointer FeatureNameVectorConstPointer;
      typedef VectorContainer< unsigned char, double > FeatureValueVector;
      typedef typename FeatureValueVector::Pointer     FeatureValueVectorPointer;
 
      typedef DataObject::Pointer DataObjectPointer;
 
      typedef DataObjectDecorator< FeatureValueVector >
        FeatureValueVectorDataObjectType;
 
      const FeatureValueVectorDataObjectType * GetFeatureMeansOutput() const;
 
      const FeatureValueVectorDataObjectType * GetFeatureStandardDeviationsOutput()
        const;
 
      using Superclass::SetInput;
      void SetInput(const ImageType *);
 
      const ImageType * GetInput() const;
 
      itkGetConstReferenceObjectMacro(FeatureMeans, FeatureValueVector);
      itkGetConstReferenceObjectMacro(FeatureStandardDeviations, FeatureValueVector);
 
      itkSetConstObjectMacro(RequestedFeatures, FeatureNameVector);
      itkGetConstObjectMacro(RequestedFeatures, FeatureNameVector);
 
      itkSetConstObjectMacro(Offsets, OffsetVector);
      itkGetConstObjectMacro(Offsets, OffsetVector);
 
      void SetNumberOfBinsPerAxis(unsigned int);
 
      void SetPixelValueMinMax(PixelType min, PixelType max);
 
      void SetDistanceValueMinMax( double min, double max );
 
      void SetMaskImage(const ImageType *);
 
      const ImageType * GetMaskImage() const;
 
      void SetInsidePixelValue(PixelType InsidePixelValue);
 
      itkGetConstMacro(FastCalculations, bool);
      itkSetMacro(FastCalculations, bool);
      itkBooleanMacro(FastCalculations);
 
    protected:
      EnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter();
      ~EnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter() override {}
      void PrintSelf( std::ostream & os, Indent indent ) const ITK_OVERRIDE;
 
      void FastCompute();
 
      void FullCompute();
 
      void GenerateData() ITK_OVERRIDE;
 
      typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
      using Superclass::MakeOutput;
      DataObjectPointer MakeOutput(DataObjectPointerArraySizeType) ITK_OVERRIDE;
 
    private:
      typename NeighbourhoodGreyLevelDifferenceMatrixFilterType::Pointer m_NeighbourhoodGreyLevelDifferenceMatrixGenerator;
 
      FeatureValueVectorPointer     m_FeatureMeans;
      FeatureValueVectorPointer     m_FeatureStandardDeviations;
      FeatureNameVectorConstPointer m_RequestedFeatures;
      OffsetVectorConstPointer      m_Offsets;
      bool                          m_FastCalculations;
    };
  } // end of namespace Statistics
} // end of namespace itk
 
#ifndef ITK_MANUAL_INSTANTIATION
#include <itkEnhancedScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter.tpp>
#endif
 
#endif