/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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 itkNarrowBandLevelSetImageFilter_hxx
#define itkNarrowBandLevelSetImageFilter_hxx

#include <cstdio>
#include "itkMath.h"

namespace itk
{
template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage>
void
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>::PrintSelf(
  std::ostream & os,
  Indent         indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "ReverseExpansionDirection: " << m_ReverseExpansionDirection << std::endl;

  itkPrintSelfObjectMacro(IsoFilter);
  itkPrintSelfObjectMacro(ChamferFilter);

  os << indent << "SegmentationFunction: " << m_SegmentationFunction << std::endl;
}

template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage>
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>::
  NarrowBandLevelSetImageFilter()
{
  this->SetNumberOfRequiredInputs(2);
  // this->SetNarrowBandInnerRadius();
  // this->SetNarrowBandTotalRadius();
  m_SegmentationFunction = nullptr;

  m_IsoFilter = IsoFilterType::New();
  m_ChamferFilter = ChamferFilterType::New();

  // Provide some reasonable defaults which will at least prevent infinite
  // looping.
  this->SetMaximumRMSError(0.02);
  this->SetNumberOfIterations(1000);
  m_ReverseExpansionDirection = false;
}

template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage>
void
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>::SetSegmentationFunction(
  SegmentationFunctionType * s)
{
  unsigned int i;

  m_SegmentationFunction = s;

  typename SegmentationFunctionType::RadiusType r;
  for (i = 0; i < Self::ImageDimension; ++i)
  {
    r[i] = 1;
  }

  m_SegmentationFunction->Initialize(r);
  this->SetDifferenceFunction(m_SegmentationFunction);
  this->Modified();
}

template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage>
void
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>::GenerateData()
{
  if (m_SegmentationFunction == nullptr)
  {
    itkExceptionMacro("No finite difference function was specified.");
  }

  // A positive speed value causes surface expansion, the opposite of the
  // default.  Flip the sign of the propagation and advection weights.
  if (m_ReverseExpansionDirection)
  {
    this->GetSegmentationFunction()->ReverseExpansionDirection();
  }

  // Allocate the images from which speeds will be sampled.
  if (Math::NotExactlyEquals(this->GetSegmentationFunction()->GetPropagationWeight(), 0))
  {
    m_SegmentationFunction->AllocateSpeedImage();
    m_SegmentationFunction->CalculateSpeedImage();
  }
  if (Math::NotExactlyEquals(this->GetSegmentationFunction()->GetAdvectionWeight(), 0))
  {
    m_SegmentationFunction->AllocateAdvectionImage();
    m_SegmentationFunction->CalculateAdvectionImage();
  }

  // Start the solver
  Superclass::GenerateData();

  // Reset all the signs of the weights.
  if (m_ReverseExpansionDirection)
  {
    this->GetSegmentationFunction()->ReverseExpansionDirection();
  }
}

template <typename TInputImage, typename TFeatureImage, typename TOutputPixelType, typename TOutputImage>
void
NarrowBandLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType, TOutputImage>::CreateNarrowBand()
{
  typename OutputImageType::Pointer levelset = this->GetOutput();

  if (!this->m_NarrowBand->Empty())
  {
    m_IsoFilter->SetNarrowBand(this->m_NarrowBand.GetPointer());
    m_IsoFilter->NarrowBandingOn(); // Maybe we should check that the NarrowBand
                                    // exits.
  }
  else
  {
    m_IsoFilter->NarrowBandingOff();
  }

  m_IsoFilter->SetFarValue(this->m_NarrowBand->GetTotalRadius() + 1);
  m_IsoFilter->SetInput(levelset);
  m_IsoFilter->Update();

  m_ChamferFilter->SetInput(m_IsoFilter->GetOutput());
  m_ChamferFilter->SetMaximumDistance(this->m_NarrowBand->GetTotalRadius() + 1);
  m_ChamferFilter->SetNarrowBand(this->m_NarrowBand.GetPointer());
  m_ChamferFilter->Update();

  this->GraftOutput(m_ChamferFilter->GetOutput());
  m_IsoFilter->SetInput(nullptr);
  m_ChamferFilter->SetInput(nullptr);
}
} // end namespace itk

#endif
