/usr/include/ITK-4.5/itkWindowedSincInterpolateImageFunction.hxx is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* 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
*
* http://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 __itkWindowedSincInterpolateImageFunction_hxx
#define __itkWindowedSincInterpolateImageFunction_hxx
#include "itkWindowedSincInterpolateImageFunction.h"
#include "vnl/vnl_math.h"
namespace itk
{
/* Constant definitions for functions */
namespace Function
{
template< unsigned int VRadius, typename TInput, typename TOutput >
const double
CosineWindowFunction< VRadius, TInput, TOutput >
::m_Factor = vnl_math::pi / ( 2 * VRadius );
template< unsigned int VRadius, typename TInput, typename TOutput >
const double
HammingWindowFunction< VRadius, TInput, TOutput >
::m_Factor = vnl_math::pi / VRadius;
template< unsigned int VRadius, typename TInput, typename TOutput >
const double
WelchWindowFunction< VRadius, TInput, TOutput >
::m_Factor = 1.0 / ( VRadius * VRadius );
template< unsigned int VRadius, typename TInput, typename TOutput >
const double
LanczosWindowFunction< VRadius, TInput, TOutput >
::m_Factor = vnl_math::pi / VRadius;
template< unsigned int VRadius, typename TInput, typename TOutput >
const double
BlackmanWindowFunction< VRadius, TInput, TOutput >
::m_Factor1 = vnl_math::pi / VRadius;
template< unsigned int VRadius, typename TInput, typename TOutput >
const double
BlackmanWindowFunction< VRadius, TInput, TOutput >
::m_Factor2 = 2.0 * vnl_math::pi / VRadius;
} // end namespace Function
/** Window size constant */
template< typename TInputImage, unsigned int VRadius,
typename TWindowFunction, typename TBoundaryCondition, typename TCoordRep >
const unsigned int
WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::m_WindowSize = VRadius << 1;
/** Constructor */
template< typename TInputImage, unsigned int VRadius,
typename TWindowFunction, typename TBoundaryCondition, typename TCoordRep >
WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::WindowedSincInterpolateImageFunction()
{
unsigned int dim;
// Compute the offset table size
m_OffsetTableSize = 1;
for ( dim = 0; dim < ImageDimension; dim++ )
{
m_OffsetTableSize *= m_WindowSize;
}
// Allocate the offset table
m_OffsetTable = new unsigned int[m_OffsetTableSize];
// Allocate the weights tables
m_WeightOffsetTable = new unsigned int *[m_OffsetTableSize];
for ( unsigned int i = 0; i < m_OffsetTableSize; i++ )
{
m_WeightOffsetTable[i] = new unsigned int[ImageDimension];
}
}
/** Destructor */
template< typename TInputImage, unsigned int VRadius,
typename TWindowFunction, typename TBoundaryCondition, typename TCoordRep >
WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::~WindowedSincInterpolateImageFunction()
{
// Clear the offset table
delete[] m_OffsetTable;
// Clear the weights tables
for ( unsigned int i = 0; i < m_OffsetTableSize; i++ )
{
delete[] m_WeightOffsetTable[i];
}
delete[] m_WeightOffsetTable;
}
template< typename TInputImage, unsigned int VRadius,
typename TWindowFunction, typename TBoundaryCondition, typename TCoordRep >
void
WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::SetInputImage(const ImageType *image)
{
unsigned int dim;
// Call the parent implementation
Superclass::SetInputImage(image);
if ( image == NULL )
{
return;
}
// Set the radius for the neighborhood
Size< ImageDimension > radius;
radius.Fill(VRadius);
// Initialize the neighborhood
IteratorType it = IteratorType( radius, image, image->GetBufferedRegion() );
// Compute the offset tables (we ignore all the zero indices
// in the neighborhood)
unsigned int iOffset = 0;
int empty = VRadius;
for ( unsigned int iPos = 0; iPos < it.Size(); iPos++ )
{
// Get the offset (index)
typename IteratorType::OffsetType off = it.GetOffset(iPos);
// Check if the offset has zero weights
bool nonzero = true;
for ( dim = 0; dim < ImageDimension; dim++ )
{
if ( off[dim] == -empty )
{
nonzero = false;
break;
}
}
// Only use offsets with non-zero indices
if ( nonzero )
{
// Set the offset index
m_OffsetTable[iOffset] = iPos;
// Set the weight table indices
for ( dim = 0; dim < ImageDimension; dim++ )
{
m_WeightOffsetTable[iOffset][dim] = off[dim] + VRadius - 1;
}
// Increment the index
iOffset++;
}
}
}
/** PrintSelf */
template< typename TInputImage, unsigned int VRadius,
typename TWindowFunction, typename TBoundaryCondition, typename TCoordRep >
void
WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::PrintSelf(std::ostream & os, Indent indent) const
{
this->Superclass::PrintSelf(os, indent);
}
/** Evaluate at image index position */
template< typename TInputImage, unsigned int VRadius,
typename TWindowFunction, typename TBoundaryCondition, typename TCoordRep >
typename WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::OutputType
WindowedSincInterpolateImageFunction< TInputImage, VRadius,
TWindowFunction, TBoundaryCondition, TCoordRep >
::EvaluateAtContinuousIndex(
const ContinuousIndexType & index) const
{
unsigned int dim;
IndexType baseIndex;
double distance[ImageDimension];
// Compute the integer index based on the continuous one by
// 'flooring' the index
for ( dim = 0; dim < ImageDimension; dim++ )
{
baseIndex[dim] = Math::Floor< IndexValueType >(index[dim]);
distance[dim] = index[dim] - static_cast< double >( baseIndex[dim] );
}
// cout << "Sampling at index " << index << " discrete " << baseIndex << endl;
// Position the neighborhood at the index of interest
Size< ImageDimension > radius;
radius.Fill(VRadius);
IteratorType nit = IteratorType( radius, this->GetInputImage(),
this->GetInputImage()->GetBufferedRegion() );
nit.SetLocation(baseIndex);
// Compute the sinc function for each dimension
double xWeight[ImageDimension][2 * VRadius];
for ( dim = 0; dim < ImageDimension; dim++ )
{
// x is the offset, hence the parameter of the kernel
double x = distance[dim] + VRadius;
// If distance is zero, i.e. the index falls precisely on the
// pixel boundary, the weights form a delta function.
if ( distance[dim] == 0.0 )
{
for ( unsigned int i = 0; i < m_WindowSize; i++ )
{
xWeight[dim][i] = static_cast< int >( i ) == VRadius - 1 ? 1 : 0;
}
}
else
{
// i is the relative offset in dimension dim.
for ( unsigned int i = 0; i < m_WindowSize; i++ )
{
// Increment the offset, taking it through the range
// (dist + rad - 1, ..., dist - rad), i.e. all x
// such that vcl_abs(x) <= rad
x -= 1.0;
// Compute the weight for this m
xWeight[dim][i] = m_WindowFunction(x) * Sinc(x);
}
}
}
// Iterate over the neighborhood, taking the correct set
// of weights in each dimension
double xPixelValue = 0.0;
for ( unsigned int j = 0; j < m_OffsetTableSize; j++ )
{
// Get the offset for this neighbor
unsigned int off = m_OffsetTable[j];
// Get the intensity value at the pixel
double xVal = nit.GetPixel(off);
// Multiply the intensity by each of the weights. Gotta hope
// that the compiler will unwrap this loop and pipeline this!
for ( dim = 0; dim < ImageDimension; dim++ )
{
xVal *= xWeight[dim][m_WeightOffsetTable[j][dim]];
}
// Increment the pixel value
xPixelValue += xVal;
}
// Return the interpolated value
return static_cast< OutputType >( xPixelValue );
}
} // namespace itk
#endif
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