otbBinaryFunctorNeighborhoodJoinHistogramImageFilter.txx

Go to the documentation of this file.

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

  Program:   ORFEO Toolbox
  Language:  C++
  Date:      $Date$
  Version:   $Revision$


  Copyright (c) Centre National d'Etudes Spatiales. All rights reserved.
  See OTBCopyright.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 __otbBinaryFunctorNeighborhoodJoinHistogramImageFilter_txx
#define __otbBinaryFunctorNeighborhoodJoinHistogramImageFilter_txx

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

namespace otb
{

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::BinaryFunctorNeighborhoodJoinHistogramImageFilter()
{
  this->SetNumberOfRequiredInputs(2);
  m_Radius = 3;
  m_HistogramSize.Fill(256);
  m_UsePaddingValue = false;
  m_UpperBoundIncreaseFactor = 0.001;
}

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
void
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::SetInput1(const TInputImage1 * image1)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(0, const_cast<TInputImage1 *>(image1));
}

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
void
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::SetInput2(const TInputImage2 * image2)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(1, const_cast<TInputImage2 *>(image2));
}

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
const TInputImage1 *
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::GetInput1()
{
  if (this->GetNumberOfInputs() < 1)
    {
    return 0;
    }
  return static_cast<const TInputImage1 *>(this->itk::ProcessObject::GetInput(0));
}

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
const TInputImage2 *
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::GetInput2()
{
  if (this->GetNumberOfInputs() < 2)
    {
    return 0;
    }
  return static_cast<const TInputImage2 *>(this->itk::ProcessObject::GetInput(1));
}

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
void
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::GenerateInputRequestedRegion()
{
  // call the superclass' implementation of this method
  Superclass::GenerateInputRequestedRegion();

  // get pointers to the input and output
  Input1ImagePointer inputPtr1 =
    const_cast<TInputImage1 *>(this->GetInput1());
  Input2ImagePointer inputPtr2 =
    const_cast<TInputImage2 *>(this->GetInput2());
  typename Superclass::OutputImagePointer outputPtr = this->GetOutput();

  if (!inputPtr1 || !inputPtr2 || !outputPtr)
    {
    return;
    }
  // get a copy of the input requested region (should equal the output
  // requested region)
  typename TInputImage1::RegionType inputRequestedRegion1, inputRequestedRegion2;
  inputRequestedRegion1 = inputPtr1->GetRequestedRegion();

  // pad the input requested region by the operator radius
  inputRequestedRegion1.PadByRadius(m_Radius);
  inputRequestedRegion2 = inputRequestedRegion1;

  // crop the input requested region at the input's largest possible region
  if (inputRequestedRegion1.Crop(inputPtr1->GetLargestPossibleRegion()))
    {
    inputPtr1->SetRequestedRegion(inputRequestedRegion1);
    }
  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)
    inputPtr1->SetRequestedRegion(inputRequestedRegion1);

    // build an exception
    itk::InvalidRequestedRegionError e(__FILE__, __LINE__);
    std::ostringstream msg;
    msg << this->GetNameOfClass()
        << "::GenerateInputRequestedRegion()";
    e.SetLocation(msg.str().c_str());
    e.SetDescription("Requested region is (at least partially) outside the largest possible region of image 1.");
    e.SetDataObject(inputPtr1);
    throw e;
    }
  if (inputRequestedRegion2.Crop(inputPtr2->GetLargestPossibleRegion()))
    {
    inputPtr2->SetRequestedRegion(inputRequestedRegion2);
    }
  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)
    inputPtr2->SetRequestedRegion(inputRequestedRegion2);

    // build an exception
    itk::InvalidRequestedRegionError e(__FILE__, __LINE__);
    std::ostringstream msg;
    msg << this->GetNameOfClass()
        << "::GenerateInputRequestedRegion()";
    e.SetLocation(msg.str().c_str());
    e.SetDescription("Requested region is (at least partially) outside the largest possible region of image 1.");
    e.SetDataObject(inputPtr2);
    throw e;
    }
  return;
}

template <class TInputImage1, class TInputImage2,
    class TOutputImage, class TFunction>
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::HistogramType::Pointer
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::ComputeHistogram()
{
  // Calculate min and max image values in input1 image.
  Input1ImageConstPointer pInput1Image
    = dynamic_cast<const TInputImage1*>(ProcessObjectType::GetInput(0));

  Input1ImagePixelType minInput1, maxInput1;
  itk::ImageRegionConstIterator<Input1ImageType> fiIt(pInput1Image,
                                                      pInput1Image->GetBufferedRegion());
  fiIt.GoToBegin();
  minInput1 = fiIt.Value();
  maxInput1 = fiIt.Value();
  ++fiIt;
  while (!fiIt.IsAtEnd())
    {
    Input1ImagePixelType value = fiIt.Value();

    if (value < minInput1)
      {
      minInput1 = value;
      }
    else if (value > maxInput1)
      {
      maxInput1 = value;
      }

    ++fiIt;
    }

  // Calculate min and max image values in input2 image.
  Input2ImageConstPointer pInput2Image
    = dynamic_cast<const TInputImage2*>(ProcessObjectType::GetInput(1));
  Input2ImagePixelType minInput2, maxInput2;
  itk::ImageRegionConstIterator<Input2ImageType> miIt(pInput2Image,
                                                      pInput2Image->GetBufferedRegion());
  miIt.GoToBegin();
  minInput2 = miIt.Value();
  maxInput2 = miIt.Value();
  ++miIt;
  while (!miIt.IsAtEnd())
    {
    Input2ImagePixelType value = miIt.Value();

    if (value < minInput2)
      {
      minInput2 = value;
      }
    else if (value > maxInput2)
      {
      maxInput2 = value;
      }
    ++miIt;
    }

  // Initialize the upper and lower bounds of the histogram.
  m_LowerBound[0] = minInput1;
  m_LowerBound[1] = minInput2;
  m_UpperBound[0] =
    maxInput1 + (maxInput1 - minInput1) * m_UpperBoundIncreaseFactor;
  m_UpperBound[1] =
    maxInput2 + (maxInput2 - minInput2) * m_UpperBoundIncreaseFactor;

  typedef itk::ImageRegionConstIteratorWithIndex<Input1ImageType> Input1IteratorType;
  typedef itk::ImageRegionConstIteratorWithIndex<Input2ImageType> Input2IteratorType;

  typename Input1ImageType::RegionType input1Region;
  typename Input1ImageType::RegionType input2Region;

  input1Region = pInput1Image->GetRequestedRegion();
  Input1IteratorType ti1(pInput1Image, input1Region);

  input2Region = pInput2Image->GetRequestedRegion();
  Input2IteratorType ti2(pInput2Image, input2Region);

  typename HistogramType::Pointer histogram = HistogramType::New();

  histogram->Initialize(m_HistogramSize, m_LowerBound, m_UpperBound);

  ti1.GoToBegin();
  ti2.GoToBegin();
  while (!ti1.IsAtEnd() && !ti2.IsAtEnd())
    {

    typename HistogramType::MeasurementVectorType sample;
    sample[0] = ti1.Get();
    sample[1] = ti2.Get();
    if (sample[0] != itk::NumericTraits<Input1ImagePixelType>::Zero &&
        sample[1] != itk::NumericTraits<Input2ImagePixelType>::Zero) histogram->IncreaseFrequency(sample, 1);

    ++ti1;
    ++ti2;
    }

  return histogram;

}

template <class TInputImage1, class TInputImage2, class TOutputImage, class TFunction>
void
BinaryFunctorNeighborhoodJoinHistogramImageFilter<TInputImage1, TInputImage2, TOutputImage, TFunction>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
                       int threadId)
{

  //this->Initialize();

  typename HistogramType::Pointer histogram = ComputeHistogram();

  //m_Functor->SetHistogram(m_Histogram);
//  unsigned int i;
  itk::ZeroFluxNeumannBoundaryCondition<TInputImage1> nbc1;
  itk::ZeroFluxNeumannBoundaryCondition<TInputImage2> nbc2;

// We use dynamic_cast since inputs are stored as DataObjects.  The
// ImageToJoinHistogramImageFilter::GetInput(int) always returns a pointer to a
// TInputImage1 so it cannot be used for the second input.
  Input1ImageConstPointer inputPtr1
    = dynamic_cast<const TInputImage1*>(ProcessObjectType::GetInput(0));
  Input2ImageConstPointer inputPtr2
    = dynamic_cast<const TInputImage2*>(ProcessObjectType::GetInput(1));
  OutputImagePointer outputPtr = this->GetOutput(0);

  RadiusType1 r1;
  r1.Fill(m_Radius);
  NeighborhoodIteratorType1 neighInputIt1;

  RadiusType2 r2;
  r2.Fill(m_Radius);
  NeighborhoodIteratorType2 neighInputIt2;

  itk::ImageRegionIterator<TOutputImage> outputIt;

  // Find the data-set boundary "faces"
  typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage1>::FaceListType faceList1;
  typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage1>               bC1;
  faceList1 = bC1(inputPtr1, outputRegionForThread, r1);

  typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage2>::FaceListType faceList2;
  typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage2>               bC2;
  faceList2 = bC2(inputPtr2, outputRegionForThread, r2);

  typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage1>::FaceListType::iterator fit1;
  typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage2>::FaceListType::iterator fit2;

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

  // Process each of the boundary faces.  These are N-d regions which border
  // the edge of the buffer.
  for (fit1 = faceList1.begin(), fit2 = faceList2.begin();
       fit1 != faceList1.end() && fit2 != faceList2.end();
       ++fit1, ++fit2)
    {
    neighInputIt1 = itk::ConstNeighborhoodIterator<TInputImage1>(r1, inputPtr1, *fit1);
    neighInputIt2 = itk::ConstNeighborhoodIterator<TInputImage2>(r1, inputPtr2, *fit2);
    outputIt = itk::ImageRegionIterator<TOutputImage>(outputPtr, outputRegionForThread);

    outputIt = itk::ImageRegionIterator<TOutputImage>(outputPtr, *fit1);
    neighInputIt1.OverrideBoundaryCondition(&nbc1);
    neighInputIt1.GoToBegin();
    neighInputIt2.OverrideBoundaryCondition(&nbc2);
    neighInputIt2.GoToBegin();

    while (!outputIt.IsAtEnd())
      {

      outputIt.Set(m_Functor(neighInputIt1, neighInputIt2, histogram));

      ++neighInputIt1;
      ++neighInputIt2;
      ++outputIt;
      progress.CompletedPixel();
      }
    }

}

} // end namespace otb

#endif