/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/
/*=========================================================================
 *
 *  Portions of this file are subject to the VTK Toolkit Version 3 copyright.
 *
 *  Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
 *
 *  For complete copyright, license and disclaimer of warranty information
 *  please refer to the NOTICE file at the top of the ITK source tree.
 *
 *=========================================================================*/
#ifndef itkAutoCropLabelMapFilter_hxx
#define itkAutoCropLabelMapFilter_hxx

namespace itk
{
template <typename TInputImage>
AutoCropLabelMapFilter<TInputImage>::AutoCropLabelMapFilter()
{
  m_CropBorder.Fill(0);
}

template <typename TInputImage>
void
AutoCropLabelMapFilter<TInputImage>::GenerateOutputInformation()
{
  const InputImageType * input = this->GetInput();

  // update the input if needed
  if (input->GetSource())
  {
    ProcessObject * upstream = input->GetSource();
    if (upstream)
    {
      upstream->Update();
    }
  }

  // find the bounding box of the objects
  IndexType minIdx;
  minIdx.Fill(NumericTraits<typename TInputImage::IndexValueType>::max());
  IndexType maxIdx;
  maxIdx.Fill(NumericTraits<typename TInputImage::IndexValueType>::NonpositiveMin());

  const InputImageType * inputImage = this->GetInput();

  // iterate over all the lines
  typename InputImageType::ConstIterator loit(inputImage);

  while (!loit.IsAtEnd())
  {
    const LabelObjectType *                     labelObject = loit.GetLabelObject();
    typename LabelObjectType::ConstLineIterator lit(labelObject);
    while (!lit.IsAtEnd())
    {
      const IndexType &                          idx = lit.GetLine().GetIndex();
      const typename TInputImage::IndexValueType length = lit.GetLine().GetLength();

      // update the mins and maxs
      for (unsigned int i = 0; i < ImageDimension; ++i)
      {
        if (idx[i] < minIdx[i])
        {
          minIdx[i] = idx[i];
        }
        if (idx[i] > maxIdx[i])
        {
          maxIdx[i] = idx[i];
        }
      }
      // must fix the max for the axis 0
      if (idx[0] + length > maxIdx[0])
      {
        maxIdx[0] = idx[0] + length - 1;
      }
      ++lit;
    }
    ++loit;
  }


  // final computation
  SizeType             regionSize;
  InputImageRegionType cropRegion;

  for (unsigned int i = 0; i < ImageDimension; ++i)
  {
    regionSize[i] = maxIdx[i] - minIdx[i] + 1;
  }
  cropRegion.SetIndex(minIdx);
  cropRegion.SetSize(regionSize);

  // pad the crop border while ensuring border is not larger than the largest
  // possible region of the input image
  cropRegion.PadByRadius(m_CropBorder);
  cropRegion.Crop(input->GetLargestPossibleRegion());

  // finally set that region as the largest output region
  this->SetRegion(cropRegion);

  Superclass::GenerateOutputInformation();
}

template <typename TImage>
void
AutoCropLabelMapFilter<TImage>::PrintSelf(std::ostream & os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "Crop Border: " << m_CropBorder << std::endl;
}
} // end namespace itk

#endif
