1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166
|
/*=========================================================================
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 otbBinaryImageToDensityImageFilter_txx
#define otbBinaryImageToDensityImageFilter_txx
#include "otbBinaryImageToDensityImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkProgressReporter.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
#include "itkNeighborhoodAlgorithm.h"
#include "otbMacro.h"
namespace otb
{
/** Constructor */
template <class TInputImage, class TOutputImage, class TCountFunction>
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::BinaryImageToDensityImageFilter()
{
m_NeighborhoodRadius.Fill(1);
m_CountFunction = CountFunctionType::New();
}
/** Destructor */
template <class TInputImage, class TOutputImage, class TCountFunction>
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::~BinaryImageToDensityImageFilter()
{}
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// get pointers to the input and output
InputImagePointerType inputPtr = const_cast<TInputImage *>(this->GetInput());
OutputImagePointerType outputPtr = this->GetOutput();
if (!inputPtr || !outputPtr)
{
return;
}
// get a copy of the input requested region (should equal the output
// requested region)
InputImageRegionType inputRequestedRegion = inputPtr->GetRequestedRegion();
// pad the input requested region by the operator radius
inputRequestedRegion.PadByRadius(m_NeighborhoodRadius);
// 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
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.");
e.SetDataObject(inputPtr);
throw e;
}
}
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::BeforeThreadedGenerateData()
{
Superclass::BeforeThreadedGenerateData();
m_CountFunction->SetInputImage(this->GetInput());
m_CountFunction->SetNeighborhoodRadius(m_NeighborhoodRadius);
}
/** Main computation method */
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::ThreadedGenerateData(const InputImageRegionType& outputRegionForThread, itk::ThreadIdType threadId)
{
InputImagePointerType inputPtr = const_cast<InputImageType *> (this->GetInput());
OutputImagePointerType outputPtr = this->GetOutput();
itk::ZeroFluxNeumannBoundaryCondition<TInputImage> nbc;
RadiusType r;
r[0] = m_NeighborhoodRadius[0];
r[1] = m_NeighborhoodRadius[1];
NeighborhoodIteratorType it;
typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>::FaceListType faceList;
typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage> bC;
faceList = bC(inputPtr, outputRegionForThread, r);
typename itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>::FaceListType::iterator fit;
itk::ImageRegionIterator<OutputImageType> itOut(outputPtr, outputRegionForThread);
itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
typename InputImageType::IndexType index;
for (fit = faceList.begin(); fit != faceList.end(); ++fit)
{
it = itk::ConstNeighborhoodIterator<TInputImage>(r, inputPtr, *fit);
itOut = itk::ImageRegionIterator<TOutputImage>(outputPtr, *fit);
it.OverrideBoundaryCondition(&nbc);
it.GoToBegin();
while (!itOut.IsAtEnd())
{
index = it.GetIndex();
if (outputRegionForThread.IsInside(index))
{
itOut.Set(m_CountFunction->EvaluateAtIndex(index));
}
++itOut;
++it;
progress.CompletedPixel(); // potential exception thrown here
}
}
}
/** PrintSelf method */
template <class TInputImage, class TOutputImage, class TCountFunction>
void
BinaryImageToDensityImageFilter<TInputImage, TOutputImage, TCountFunction>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Neighborhood Radius : " << m_NeighborhoodRadius << std::endl;
}
} // End namespace otb
#endif
|