itkVoronoiSegmentationRGBImageFilter.h

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkVoronoiSegmentationRGBImageFilter.h,v $
  Language:  C++
  Date:      $Date: 2002/10/21 17:39:46 $
  Version:   $Revision: 1.25 $

  Copyright (c) 2002 Insight Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notices for more information.

=========================================================================*/
#ifndef _itkVoronoiSegmentationRGBImageFilter_h
#define _itkVoronoiSegmentationRGBImageFilter_h

#include "itkImageToImageFilter.h"
#include "itkVoronoiSegmentationImageFilterBase.h"
#include "itkImage.h"

namespace itk
{

template <class TInputImage, class TOutputImage>
class VoronoiSegmentationRGBImageFilter:
public VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage>
{

public:
  typedef VoronoiSegmentationRGBImageFilter       Self;
  typedef VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage> Superclass;
  typedef SmartPointer <Self>  Pointer;
  typedef SmartPointer<const Self>  ConstPointer;

  itkTypeMacro(VoronoiSegmentationRGBImageFilter,
               VoronoiSegmentationImageFilterBase);

  itkNewMacro(Self);

  typedef typename Superclass::BinaryObjectImage BinaryObjectImage;
  typedef typename Superclass::IndexList IndexList;
  typedef typename Superclass::IndexType IndexType;
  typedef typename Superclass::RegionType RegionType;
  typedef typename Superclass::PixelType PixelType;
  typedef typename Superclass::InputImagePointer InputImagePointer;
  typedef typename Superclass::InputImageType InputImageType;
  typedef Vector<float,6> RGBHCVPixel;
  typedef Image<RGBHCVPixel> RGBHCVImage;

  void SetMeanPercentError(double x[6]);
  void SetSTDPercentError(double x[6]);
  void GetMeanPercentError(double x[6]){for(int i=0;i<6;i++) x[i]=m_MeanPercentError[i];};
  void GetSTDPercentError(double x[6]){for(int i=0;i<6;i++) x[i]=m_STDPercentError[i];};
  void GetMean(double x[6]){for(int i=0;i<6;i++) x[i]=m_Mean[i];};
  void GetSTD(double x[6]){for(int i=0;i<6;i++) x[i]=m_STD[i];};
  void SetMean(double x[6]){for(int i=0;i<6;i++) m_Mean[i]=x[i];};
  void SetSTD(double x[6]){for(int i=0;i<6;i++) m_STD[i]=x[i];};
  void GetMeanTolerance(double x[6]){for(int i=0;i<6;i++) x[i]=m_MeanTolerance[i];};
  void GetSTDTolerance(double x[6]){for(int i=0;i<6;i++) x[i]=m_STDTolerance[i];};

  itkSetMacro(MaxValueOfRGB,double);
  itkGetMacro(MaxValueOfRGB,double);

  void SetTestMean(unsigned int t1,unsigned int t2,unsigned int t3){
    m_TestMean[0] = t1;
    m_TestMean[1] = t2;
    m_TestMean[2] = t3;
  }
  void SetTestSTD(unsigned int t1,unsigned int t2,unsigned int t3){
    m_TestSTD[0] = t1;
    m_TestSTD[1] = t2;
    m_TestSTD[2] = t3;
  }
  void GetTestMean(unsigned int x[3]){
    x[0]=m_TestMean[0];x[1]=m_TestMean[1];x[2]=m_TestMean[2];
  }
  void GetTestSTD(unsigned int x[3]){
    x[0]=m_TestSTD[0];x[1]=m_TestSTD[1];x[2]=m_TestSTD[2];
  }
  void TakeAPrior(BinaryObjectImage* aprior);

  void SetInput(const InputImageType *input); 

protected:
  VoronoiSegmentationRGBImageFilter();
  ~VoronoiSegmentationRGBImageFilter();


private:
  double m_Mean[6];
  double m_STD[6];  
  double m_MeanTolerance[6];
  double m_STDTolerance[6];
  double m_MeanPercentError[6];
  double m_STDPercentError[6];
  double m_MaxValueOfRGB;
  unsigned int m_TestMean[3];
  unsigned int m_TestSTD[3];
  typename RGBHCVImage::Pointer m_WorkingImage;

  virtual bool TestHomogeneity(IndexList Plist);
  
private:
  VoronoiSegmentationRGBImageFilter(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented  
};

}//end namespace


#ifndef ITK_MANUAL_INSTANTIATION
#include "itkVoronoiSegmentationRGBImageFilter.txx"
#endif

#endif

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