/usr/include/OTB-5.8/otbFourierMellinDescriptorsImageFunction.txx is in libotb-dev 5.8.0+dfsg-3.
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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 | /*=========================================================================
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 otbFourierMellinDescriptorsImageFunction_txx
#define otbFourierMellinDescriptorsImageFunction_txx
#include "otbFourierMellinDescriptorsImageFunction.h"
#include "itkConstNeighborhoodIterator.h"
#include "itkNumericTraits.h"
namespace otb
{
/**
* Constructor
*/
template <class TInputImage, class TCoordRep>
FourierMellinDescriptorsImageFunction<TInputImage, TCoordRep>
::FourierMellinDescriptorsImageFunction()
{
m_NeighborhoodRadius = 1;
m_Pmax = 3;
m_Qmax = 3;
m_Sigma = 0.5;
}
template <class TInputImage, class TCoordRep>
void
FourierMellinDescriptorsImageFunction<TInputImage, TCoordRep>
::PrintSelf(std::ostream& os, itk::Indent indent) const
{
this->Superclass::PrintSelf(os, indent);
os << indent << " p indice maximum value : " << m_Pmax << std::endl;
os << indent << " q indice maximum value : " << m_Qmax << std::endl;
os << indent << " Neighborhood radius value : " << m_NeighborhoodRadius << std::endl;
}
template <class TInputImage, class TCoordRep>
typename FourierMellinDescriptorsImageFunction<TInputImage, TCoordRep>::OutputType
FourierMellinDescriptorsImageFunction<TInputImage, TCoordRep>
::EvaluateAtIndex(const IndexType& index) const
{
// Build Fourier-Mellin Harmonics Matrix
ComplexType coefs;
coefs.resize(m_Pmax+1);
OutputType descriptors;
descriptors.resize(m_Pmax+1);
// Initialize moments
for (unsigned int p = 0; p <= m_Pmax; p++)
{
coefs.at(p).resize(m_Qmax+1);
descriptors.at(p).resize(m_Qmax+1);
for (unsigned int q = 0; q <= m_Qmax; q++)
{
coefs.at(p).at(q) = itk::NumericTraits<ScalarComplexType>::Zero;
descriptors.at(p).at(q) = itk::NumericTraits<ScalarRealType>::Zero;
}
}
// Check for input image
if( !this->GetInputImage() )
{
return descriptors;
}
// Check for out of buffer
if ( !this->IsInsideBuffer( index ) )
{
return descriptors;
}
// Create an N-d neighborhood kernel, using a zeroflux boundary condition
typename InputImageType::SizeType kernelSize;
kernelSize.Fill( m_NeighborhoodRadius );
itk::ConstNeighborhoodIterator<InputImageType>
it(kernelSize, this->GetInputImage(), this->GetInputImage()->GetBufferedRegion());
// Set the iterator at the desired location
it.SetLocation(index);
// Walk the neighborhood
const unsigned int size = it.Size();
for (unsigned int i = 0; i < size; ++i)
{
// Retrieve value, and centered-reduced position
ScalarRealType value = static_cast<ScalarRealType>(it.GetPixel(i));
ScalarRealType x = static_cast<ScalarRealType>(it.GetOffset(i)[0])/(2*m_NeighborhoodRadius+1);
ScalarRealType y = static_cast<ScalarRealType>(it.GetOffset(i)[1])/(2*m_NeighborhoodRadius+1);
// Build complex value
ScalarComplexType xplusiy(x, y), x2plusy2(x*x+y*y, 0.0);
// Update cumulants
for (unsigned int p = 0; p <= m_Pmax; p++)
{
for (unsigned int q= 0; q <= m_Qmax; q++)
{
ScalarComplexType power(double(p-2.0+m_Sigma)/2.0, -double(q)/2.0);
if(x!=0 || y !=0) // vcl_pow limitation
{
coefs.at(p).at(q) += vcl_pow(xplusiy, -static_cast<double>(p)) * vcl_pow(x2plusy2, power) * value;
}
}
}
}
// Normalisation
for (int p = m_Pmax; p >= 0; p--)
{
for (int q = m_Qmax; q >= 0; q--)
{
coefs.at(p).at(q) /= 2*CONST_PI * coefs.at(0).at(0);
descriptors.at(p).at(q) = vcl_sqrt((coefs.at(p).at(q).real() * coefs.at(p).at(q).real()
+ coefs.at(p).at(q).imag() * coefs.at(p).at(q).imag()));
}
}
// Return result
return descriptors;
}
} // namespace otb
#endif
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