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

  Program:   Advanced Normalization Tools
  Module:    $RCSfile: itkVectorParameterizedNeighborhoodOperatorImageFilter.hxx,v $
  Language:  C++
  Date:      $Date: 2008/11/15 23:46:06 $
  Version:   $Revision: 1.18 $

  Copyright (c) ConsortiumOfANTS. All rights reserved.
  See accompanying COPYING.txt or
 http://sourceforge.net/projects/advants/files/ANTS/ANTSCopyright.txt 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 _itkVectorParameterizedNeighborhoodOperatorImageFilter_hxx
#define _itkVectorParameterizedNeighborhoodOperatorImageFilter_hxx
#include "itkVectorParameterizedNeighborhoodOperatorImageFilter.h"

#include "itkNeighborhoodAlgorithm.h"
#include "itkVectorNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkProgressReporter.h"

namespace itk
{
template <class TInputImage, class TOutputImage, class TParamImage>
void
VectorParameterizedNeighborhoodOperatorImageFilter<TInputImage, TOutputImage, TParamImage>
::GenerateInputRequestedRegion()
throw (InvalidRequestedRegionError)
{
  // call the superclass' implementation of this method. this should
  // copy the output requested region to the input requested region
  Superclass::GenerateInputRequestedRegion();

  // get pointers to the input and output
  InputImagePointer inputPtr =
    const_cast<InputImageType *>( this->GetInput() );

  if( !inputPtr )
    {
    return;
    }

  // get a copy of the input requested region (should equal the output
  // requested region)
  typename TInputImage::RegionType inputRequestedRegion;
  inputRequestedRegion = inputPtr->GetRequestedRegion();

  // pad the input requested region by the operator radius
  inputRequestedRegion.PadByRadius( m_Operator.GetRadius() );

  // crop the input requested region at the input's largest possible region
  if( inputRequestedRegion.Crop(inputPtr->GetLargestPossibleRegion() ) )
    {
    inputPtr->SetRequestedRegion( inputRequestedRegion );
    return;
    }
  else
    {
    // Couldn't crop the region (requested region is outside the largest
    // possible region).  Throw an exception.

    // store what we tried to request (prior to trying to crop)
    inputPtr->SetRequestedRegion( inputRequestedRegion );

    // build an exception
    InvalidRequestedRegionError e(__FILE__, __LINE__);
    std::ostringstream          msg;
    msg << static_cast<const char *>(this->GetNameOfClass() )
        << "::GenerateInputRequestedRegion()";
    e.SetLocation(msg.str().c_str() );
    e.SetDescription("Requested region is (at least partially) outside the largest possible region.");
    e.SetDataObject(inputPtr);
    throw e;
    }
}

template <class TInputImage, class TOutputImage, class TParamImage>
void
VectorParameterizedNeighborhoodOperatorImageFilter<TInputImage, TOutputImage, TParamImage>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
                       ThreadIdType threadId)
{
  typedef NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>
    BFC;
  typedef typename BFC::FaceListType FaceListType;

  VectorNeighborhoodInnerProduct<InputImageType> smartInnerProduct;
  BFC                                            faceCalculator;
  FaceListType                                   faceList;

  // Allocate output
  OutputImageType *     output  = this->GetOutput();
  const InputImageType *input   = this->GetInput();

  // Break the input into a series of regions.  The first region is free
  // of boundary conditions, the rest with boundary conditions. Note,
  // we pass in the input image and the OUTPUT requested region. We are
  // only concerned with centering the neighborhood operator at the
  // pixels that correspond to output pixels.
  faceList = faceCalculator(input, outputRegionForThread,
                            m_Operator.GetRadius() );
  typename FaceListType::iterator fit;

  // support progress methods/callbacks
  ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels() );

  ImageRegionIteratorWithIndex<OutputImageType> it;

  // Process non-boundary region and then each of the boundary faces.
  // These are N-d regions which border the edge of the buffer.
  ConstNeighborhoodIterator<InputImageType> bit;
  for( fit = faceList.begin(); fit != faceList.end(); ++fit )
    {
    bit =
      ConstNeighborhoodIterator<InputImageType>(m_Operator.GetRadius(),
                                                input, *fit);
    it = ImageRegionIteratorWithIndex<OutputImageType>(output, *fit);
    bit.GoToBegin();
    while( !bit.IsAtEnd() )
      {
      if( m_ParameterImage )
        {
//      float max=1.45;
        float param = m_ParameterImage->GetPixel(it.GetIndex() );
//      if (param > 0.5 || param < 2.0 ) param = 0.0;
//      if (param < 1./max && param > 0 ) param = 1./max;
//      if (param > max  && param > 0 ) param = max;
//      if (param < 1.0  && param > 0) param=1.0/param;
//      std::cout << " param " << param ;

        if( param <= 0 )
          {
          it.Value() = input->GetPixel(it.GetIndex() );
          }
        else
          {
          m_Operator.SetVariance( param );
          m_Operator.CreateDirectional();
          it.Value() = smartInnerProduct(bit, m_Operator);
          }
        }
      else
        {
        it.Value() = smartInnerProduct(bit, m_Operator);
        }
      ++bit;
      ++it;
      progress.CompletedPixel();
      }
    }
}
} // end namespace itk

#endif
