/*=========================================================================
 *
 *  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
 *
 *         http://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 itkIsoContourDistanceImageFilter_hxx
#define itkIsoContourDistanceImageFilter_hxx

#include "itkIsoContourDistanceImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkNumericTraits.h"
#include "itkIndex.h"

namespace itk
{
/**
 * Default constructor.
 */
template< typename TInputImage, typename TOutputImage >
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::IsoContourDistanceImageFilter()
{
  m_LevelSetValue = NumericTraits< InputPixelType >::ZeroValue();

  m_FarValue = 10 * NumericTraits< PixelType >::OneValue();

  m_NarrowBanding = false;
  m_NarrowBand = ITK_NULLPTR;

  m_Barrier = Barrier::New();
}

/**
 * Set the input narrowband container.
 */
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::SetNarrowBand(
  NarrowBandType *ptr)
{
  if ( m_NarrowBand != ptr )
    {
    m_NarrowBand = ptr;
    this->Modified();
    }
}

/**
 * PrintSelf method.
 */
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);
  os << indent << "Narrowbanding: " << m_NarrowBanding << std::endl;
  os << indent << "LevelSetValue: " << m_LevelSetValue << std::endl;
  os << indent << "FarValue: " << m_FarValue << std::endl;
  os << std::endl;
}

/**
 * GenerateInputRequestedRegion method.
 */
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::GenerateInputRequestedRegion()
{
  // use the default implementation.
  this->Superclass::GenerateInputRequestedRegion();
}

/**
 * EnlargeOutputRequestedRegion method.
 */
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::EnlargeOutputRequestedRegion(
  DataObject *output)
{
  // this filter requires the all of the output image to be in
  // the buffer
  TOutputImage *imgData;

  imgData = dynamic_cast< TOutputImage * >( output );
  if ( imgData )
    {
    imgData->SetRequestedRegionToLargestPossibleRegion();
    }
  else
    {
    // pointer could not be cast to TLevelSet *
    itkWarningMacro( << "itk::IsoContourDistanceImageFilter"
                     << "::EnlargeOutputRequestedRegion cannot cast "
                     << typeid( output ).name() << " to "
                     << typeid( TOutputImage * ).name() );
    }
}

/**
 * Before ThreadedGenerateData:
 *  Split the band if we use narrowband mode
 */
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::BeforeThreadedGenerateData()
{
  // Instead of using GetNumberOfThreads, we need to split the image into the
  // number of regions that will actually be returned by
  // itkImageSource::SplitRequestedRegion. Sometimes this number is less than
  // the number of threads requested.
  OutputImageRegionType dummy;
  unsigned int actualThreads = this->SplitRequestedRegion(
    0, this->GetNumberOfThreads(),
    dummy);

  m_Spacing = this->GetInput()->GetSpacing();

  // Initialize the barrier for the thread synchronization in
  // the narrowband case.
  this->m_Barrier->Initialize(actualThreads);

  if ( m_NarrowBanding )
    {
    // Split the narrow band into sections, one section for each thread
    this->m_NarrowBandRegion = this->m_NarrowBand->SplitBand(actualThreads);
    }
}

//----------------------------------------------------------------------------
// The execute method created by the subclass.
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::ThreadedGenerateData(const OutputImageRegionType & outputRegionForThread,
                       ThreadIdType threadId)
{
  typedef typename InputImageType::ConstPointer ImageConstPointer;
  typedef typename OutputImageType::Pointer     OutputPointer;

  ImageConstPointer inputPtr = this->GetInput();
  OutputPointer     outputPtr = this->GetOutput();

  typedef ImageRegionConstIterator< InputImageType > ConstIteratorType;
  typedef ImageRegionIterator< OutputImageType >     IteratorType;
  ConstIteratorType inIt (inputPtr,
                          outputRegionForThread);
  IteratorType outIt (outputPtr,
                      outputRegionForThread);

  PixelType negFarValue = -m_FarValue;

  //Initialize output image. Thi needs to be done regardless of the
  // NarrowBanding or Full implementation
  while ( !inIt.IsAtEnd() )
    {
    if ( inIt.Get() > m_LevelSetValue )
      {
      outIt.Set( m_FarValue );
      }
    else if ( inIt.Get() < m_LevelSetValue )
      {
      outIt.Set( negFarValue );
      }
    else
      {
      outIt.Set(NumericTraits< PixelType >::ZeroValue());
      }
    ++inIt;
    ++outIt;
    }

  // Wait for all threads to be done initializing output
  this->m_Barrier->Wait();

  //Iterate over split region or split band as convinient.
  if ( !m_NarrowBanding )
    {
    this->ThreadedGenerateDataFull(outputRegionForThread, threadId);
    }
  else
    {
    this->ThreadedGenerateDataBand(outputRegionForThread, threadId);
    }
}

// The execute method created by the subclass.
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::ThreadedGenerateDataFull( const OutputImageRegionType & outputRegionForThread,
                            ThreadIdType itkNotUsed(threadId) )
{
  typedef typename InputImageType::ConstPointer ImageConstPointer;
  typedef typename OutputImageType::Pointer     OutputPointer;

  ImageConstPointer inputPtr = this->GetInput();
  OutputPointer     outputPtr = this->GetOutput();

  InputSizeType radiusIn;
  SizeType      radiusOut;

  unsigned int n;

  for ( n = 0; n < ImageDimension; n++ )
    {
    radiusIn[n] = 2;
    radiusOut[n] = 1;
    }

  //Define Neighborhood iterator
  ConstNeighborhoodIterator< InputImageType > inNeigIt(radiusIn, inputPtr,
                                                       outputRegionForThread);
  NeighborhoodIterator< OutputImageType > outNeigIt(radiusOut, outputPtr,
                                                    outputRegionForThread);
  //Get Stride information to move across dimension
  std::vector< OffsetValueType > stride(ImageDimension, 0 );

  for ( n = 0; n < ImageDimension; n++ )
    {
    stride[n] = inNeigIt.GetStride(n);
    }

  unsigned int center = inNeigIt.Size() / 2;

  for ( inNeigIt.GoToBegin(); !inNeigIt.IsAtEnd(); ++inNeigIt, ++outNeigIt )
    {
    ComputeValue( inNeigIt, outNeigIt, center, stride );
    }
  }


// The execute method created by the subclass.
template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::ThreadedGenerateDataBand(const OutputImageRegionType & itkNotUsed(outputRegionForThread),
                           ThreadIdType threadId)
{
  typename InputImageType::ConstPointer inputPtr = this->GetInput();
  typename OutputImageType::Pointer outputPtr = this->GetOutput();

  //Tasks:
  //1. Initialize whole output image (done in ThreadedGenerateData)
  //2. Wait for threads (done in ThreadedGenerateData)
  //3. Computation over the narrowband
  ConstBandIterator bandIt  = m_NarrowBandRegion[threadId].Begin;
  ConstBandIterator bandEnd = m_NarrowBandRegion[threadId].End;

  unsigned int n;

  InputSizeType radiusIn;
  SizeType      radiusOut;
  for ( n = 0; n < ImageDimension; n++ )
    {
    radiusIn[n] = 2;
    radiusOut[n] = 1;
    }

  //Create neighborhood iterator
  InputNeighbordIteratorType inNeigIt( radiusIn, inputPtr,
                                      inputPtr->GetRequestedRegion() );
  OutputNeighborhoodIteratorType outNeigIt( radiusOut, outputPtr,
                                           outputPtr->GetRequestedRegion() );

  //Get Stride information to move across dimension
  std::vector< OffsetValueType > stride( ImageDimension, 0 );

  for ( n = 0; n < ImageDimension; n++ )
    {
    stride[n] = inNeigIt.GetStride(n);
    }
  unsigned int center = inNeigIt.Size() / 2;

  while( bandIt != bandEnd )
    {
    inNeigIt.SetLocation(bandIt->m_Index);
    outNeigIt.SetLocation(bandIt->m_Index);

    ComputeValue( inNeigIt, outNeigIt, center, stride );

    ++bandIt;
    }     //Band iteratior
}

template< typename TInputImage, typename TOutputImage >
void
IsoContourDistanceImageFilter< TInputImage, TOutputImage >
::ComputeValue( const InputNeighbordIteratorType& inNeigIt,
               OutputNeighborhoodIteratorType& outNeigIt,
               unsigned int center,
               const std::vector< OffsetValueType >& stride )
{
  typedef typename NumericTraits<PixelType>::RealType PixelRealType;

  PixelRealType val0 = static_cast< PixelRealType >( inNeigIt.GetPixel(center) )
      - static_cast< PixelRealType >( m_LevelSetValue );
  bool sign = ( val0 > 0 );

  PixelRealType grad0[ImageDimension];

  //Compute gradient at val0
  for ( unsigned int ng = 0; ng < ImageDimension; ng++ )
    {
    grad0[ng] = static_cast< PixelRealType >( inNeigIt.GetNext(ng, 1) )
        - static_cast< PixelRealType >( inNeigIt.GetPrevious(ng, 1) );
    }

  for ( unsigned int n = 0; n < ImageDimension; n++ )
    {
    PixelRealType val1 =  static_cast< PixelRealType >( inNeigIt.GetPixel(center + stride[n]) )
        - static_cast< PixelRealType >( m_LevelSetValue );

    bool neighSign = ( val1 > 0 );

    if ( sign != neighSign )
      {
      PixelRealType grad1[ImageDimension];

      for ( unsigned int ng = 0; ng < ImageDimension; ng++ )
        {
        grad1[ng] =
            static_cast< PixelType >( inNeigIt.GetPixel(center + stride[n] + stride[ng]) )
            - static_cast< PixelType >( inNeigIt.GetPixel(center + stride[n] - stride[ng]) );
        }
      PixelRealType diff;
      if ( sign )
        {
        diff = val0 - val1;
        }
      else
        {
        diff = val1 - val0;
        }
      if ( diff < NumericTraits< PixelRealType >::min() )
        {
        itkGenericExceptionMacro( << "diff " << diff
                                 << " < NumericTraits< PixelRealType >::min()" );
        continue;
        }

      //Interpolate values
      PixelRealType grad[ImageDimension];

      PixelRealType alpha0 = 0.5;  //Interpolation factor
      PixelRealType alpha1 = 0.5;  //Interpolation factor

      PixelRealType norm = 0.;

      for ( unsigned int ng = 0; ng < ImageDimension; ng++ )
        {
        grad[ng] = ( grad0[ng] * alpha0 + grad1[ng] * alpha1 ) / ( 2. * static_cast< PixelRealType >( m_Spacing[ng] ) );
        norm += grad[ng] * grad[ng];
        }
      norm = std::sqrt( norm );

      if ( norm > NumericTraits< PixelRealType >::min() )
        {
        PixelRealType val = std::fabs( grad[n] ) * m_Spacing[n] / norm / diff;

        PixelRealType valNew0 = val0 * val;
        PixelRealType valNew1 = val1 * val;

        if ( std::fabs( static_cast< double >( valNew0 ) ) < std::fabs( static_cast< double >( outNeigIt.GetNext(n, 0) ) ) )
          {
          outNeigIt.SetNext( n, 0, static_cast< PixelType >( valNew0 ) );
          }
        if ( std::fabs( static_cast< double >( valNew1 ) ) < std::fabs( static_cast< double >( outNeigIt.GetNext(n, 1) ) ) )
          {
          outNeigIt.SetNext( n, 1, static_cast< PixelType >( valNew1 ) );
          }
        }
      else
        {
        itkExceptionMacro(<< "Gradient norm is lower than pixel precision");
        }
      } // end if (sign != signNeigh)
    }   //end for n
}

} // namespace itk

#endif
