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itkResampleImageFilter.hxx
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itkResampleImageFilter.hxx
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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 itkResampleImageFilter_hxx
#define itkResampleImageFilter_hxx
#include "itkResampleImageFilter.h"
#include "itkObjectFactory.h"
#include "itkIdentityTransform.h"
#include "itkProgressReporter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkImageScanlineIterator.h"
#include "itkSpecialCoordinatesImage.h"
#include "itkDefaultConvertPixelTraits.h"
namespace itk
{
/**
* Initialize new instance
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::ResampleImageFilter()
{
m_OutputOrigin.Fill(0.0);
m_OutputSpacing.Fill(1.0);
m_OutputDirection.SetIdentity();
m_UseReferenceImage = false;
m_Size.Fill(0);
m_OutputStartIndex.Fill(0);
// Pipeline input configuration
// implicit:
// #0 "Primary" required
// #1 "ReferenceImage" optional
Self::AddRequiredInputName("ReferenceImage",1);
Self::RemoveRequiredInputName("ReferenceImage");
// "Transform" required ( not numbered )
Self::AddRequiredInputName("Transform");
Self::SetTransform(IdentityTransform< TTransformPrecisionType, ImageDimension >::New());
m_Interpolator = dynamic_cast< InterpolatorType * >
( LinearInterpolatorType::New().GetPointer() );
m_Extrapolator = ITK_NULLPTR;
m_DefaultPixelValue
= NumericTraits<PixelType>::ZeroValue( m_DefaultPixelValue );
}
/**
* Print out a description of self
*
* \todo Add details about this class
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "DefaultPixelValue: "
<< static_cast< typename NumericTraits< PixelType >::PrintType >
( m_DefaultPixelValue )
<< std::endl;
os << indent << "Size: " << m_Size << std::endl;
os << indent << "OutputStartIndex: " << m_OutputStartIndex << std::endl;
os << indent << "OutputSpacing: " << m_OutputSpacing << std::endl;
os << indent << "OutputOrigin: " << m_OutputOrigin << std::endl;
os << indent << "OutputDirection: " << m_OutputDirection << std::endl;
os << indent << "Transform: " << this->GetTransform() << std::endl;
os << indent << "Interpolator: " << m_Interpolator.GetPointer() << std::endl;
os << indent << "Extrapolator: " << m_Extrapolator.GetPointer() << std::endl;
os << indent << "UseReferenceImage: " << ( m_UseReferenceImage ? "On" : "Off" )
<< std::endl;
}
/**
* Set the output image spacing.
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::SetOutputSpacing(const double *spacing)
{
SpacingType s;
for(unsigned int i = 0; i < TOutputImage::ImageDimension; ++i)
{
s[i] = static_cast< typename SpacingType::ValueType >(spacing[i]);
}
this->SetOutputSpacing(s);
}
/**
* Set the output image origin.
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::SetOutputOrigin(const double *origin)
{
OriginPointType p(origin);
this->SetOutputOrigin(p);
}
/** Helper method to set the output parameters based on this image */
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::SetOutputParametersFromImage(const ImageBaseType *image)
{
this->SetOutputOrigin ( image->GetOrigin() );
this->SetOutputSpacing ( image->GetSpacing() );
this->SetOutputDirection ( image->GetDirection() );
this->SetOutputStartIndex ( image->GetLargestPossibleRegion().GetIndex() );
this->SetSize ( image->GetLargestPossibleRegion().GetSize() );
}
/**
* Set up state of filter before multi-threading.
* InterpolatorType::SetInputImage is not thread-safe and hence
* has to be set up before ThreadedGenerateData
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::BeforeThreadedGenerateData()
{
if ( !m_Interpolator )
{
itkExceptionMacro(<< "Interpolator not set");
}
// Connect input image to interpolator
m_Interpolator->SetInputImage( this->GetInput() );
// Connect input image to extrapolator
if( !m_Extrapolator.IsNull() )
{
m_Extrapolator->SetInputImage( this->GetInput() );
}
unsigned int nComponents
= DefaultConvertPixelTraits<PixelType>::GetNumberOfComponents(
m_DefaultPixelValue );
if (nComponents == 0)
{
PixelComponentType zeroComponent
= NumericTraits<PixelComponentType>::ZeroValue( zeroComponent );
nComponents = this->GetInput()->GetNumberOfComponentsPerPixel();
NumericTraits<PixelType>::SetLength(m_DefaultPixelValue, nComponents );
for (unsigned int n=0; n<nComponents; n++)
{
PixelConvertType::SetNthComponent( n, m_DefaultPixelValue,
zeroComponent );
}
}
}
/**
* Set up state of filter after multi-threading.
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::AfterThreadedGenerateData()
{
// Disconnect input image from the interpolator
m_Interpolator->SetInputImage(ITK_NULLPTR);
if( !m_Extrapolator.IsNull() )
{
// Disconnect input image from the extrapolator
m_Extrapolator->SetInputImage(ITK_NULLPTR);
}
}
/**
* ThreadedGenerateData
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::ThreadedGenerateData(const OutputImageRegionType & outputRegionForThread,
ThreadIdType threadId)
{
// Check whether the input or the output is a
// SpecialCoordinatesImage. If either are, then we cannot use the
// fast path since index mapping will definitely not be linear.
typedef SpecialCoordinatesImage< PixelType, ImageDimension > OutputSpecialCoordinatesImageType;
typedef SpecialCoordinatesImage< InputPixelType, InputImageDimension > InputSpecialCoordinatesImageType;
const bool isSpecialCoordinatesImage = ( dynamic_cast< const InputSpecialCoordinatesImageType * >( this->GetInput() )
|| dynamic_cast< const OutputSpecialCoordinatesImageType * >( this->GetOutput() ) );
// Check whether we can use a fast path for resampling. Fast path
// can be used if the transformation is linear. Transform respond
// to the IsLinear() call.
if ( !isSpecialCoordinatesImage && this->GetTransform()->GetTransformCategory() == TransformType::Linear )
{
this->LinearThreadedGenerateData(outputRegionForThread, threadId);
return;
}
// Otherwise, we use the normal method where the transform is called
// for computing the transformation of every point.
this->NonlinearThreadedGenerateData(outputRegionForThread, threadId);
}
/**
* Cast from interpolotor output to pixel type
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
typename ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::PixelType
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::CastPixelWithBoundsChecking(const InterpolatorOutputType value,
const ComponentType minComponent,
const ComponentType maxComponent ) const
{
const unsigned int nComponents = InterpolatorConvertType::GetNumberOfComponents(value);
PixelType outputValue;
NumericTraits<PixelType>::SetLength( outputValue, nComponents );
for (unsigned int n=0; n<nComponents; n++)
{
ComponentType component = InterpolatorConvertType::GetNthComponent( n, value );
if ( component < minComponent )
{
PixelConvertType::SetNthComponent( n, outputValue, static_cast<PixelComponentType>( minComponent ) );
}
else if ( component > maxComponent )
{
PixelConvertType::SetNthComponent( n, outputValue, static_cast<PixelComponentType>( maxComponent ) );
}
else
{
PixelConvertType::SetNthComponent(n, outputValue,
static_cast<PixelComponentType>( component ) );
}
}
return outputValue;
}
/**
* NonlinearThreadedGenerateData
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::NonlinearThreadedGenerateData(const OutputImageRegionType &
outputRegionForThread,
ThreadIdType threadId)
{
// Get the output pointers
OutputImageType *outputPtr = this->GetOutput();
// Get this input pointers
const InputImageType *inputPtr = this->GetInput();
// Honor the SpecialCoordinatesImage isInside value returned
// by TransformPhysicalPointToContinuousIndex
typedef SpecialCoordinatesImage< InputPixelType, InputImageDimension > InputSpecialCoordinatesImageType;
const bool isSpecialCoordinatesImage = dynamic_cast< const InputSpecialCoordinatesImageType * >( inputPtr );
// Get the input transform
const TransformType *transformPtr = this->GetTransform();
// Create an iterator that will walk the output region for this thread.
typedef ImageRegionIteratorWithIndex< TOutputImage > OutputIterator;
OutputIterator outIt(outputPtr, outputRegionForThread);
// Define a few indices that will be used to translate from an input pixel
// to an output pixel
PointType outputPoint; // Coordinates of current output pixel
PointType inputPoint; // Coordinates of current input pixel
ContinuousInputIndexType inputIndex;
// Support for progress methods/callbacks
ProgressReporter progress( this,
threadId,
outputRegionForThread.GetNumberOfPixels() );
// Min/max values of the output pixel type AND these values
// represented as the output type of the interpolator
const PixelComponentType minValue = NumericTraits< PixelComponentType >::NonpositiveMin();
const PixelComponentType maxValue = NumericTraits< PixelComponentType >::max();
typedef typename InterpolatorType::OutputType OutputType;
const ComponentType minOutputValue = static_cast< ComponentType >( minValue );
const ComponentType maxOutputValue = static_cast< ComponentType >( maxValue );
// Walk the output region
outIt.GoToBegin();
while ( !outIt.IsAtEnd() )
{
// Determine the index of the current output pixel
outputPtr->TransformIndexToPhysicalPoint(outIt.GetIndex(), outputPoint);
// Compute corresponding input pixel position
inputPoint = transformPtr->TransformPoint(outputPoint);
const bool isInsideInput = inputPtr->TransformPhysicalPointToContinuousIndex(inputPoint, inputIndex);
PixelType pixval;
OutputType value;
// Evaluate input at right position and copy to the output
if( m_Interpolator->IsInsideBuffer(inputIndex) && ( !isSpecialCoordinatesImage || isInsideInput ) )
{
value = m_Interpolator->EvaluateAtContinuousIndex(inputIndex);
pixval = this->CastPixelWithBoundsChecking( value, minOutputValue, maxOutputValue );
outIt.Set(pixval);
}
else
{
if( m_Extrapolator.IsNull() )
{
outIt.Set( m_DefaultPixelValue ); // default background value
}
else
{
value = m_Extrapolator->EvaluateAtContinuousIndex( inputIndex );
pixval = this->CastPixelWithBoundsChecking( value, minOutputValue, maxOutputValue );
outIt.Set(pixval);
}
}
progress.CompletedPixel();
++outIt;
}
}
/**
* LinearThreadedGenerateData
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::LinearThreadedGenerateData(const OutputImageRegionType &
outputRegionForThread,
ThreadIdType threadId)
{
// Get the output pointers
OutputImageType *outputPtr = this->GetOutput();
// Get this input pointers
const InputImageType *inputPtr = this->GetInput();
// Get the input transform
const TransformType *transformPtr = this->GetTransform();
// Create an iterator that will walk the output region for this thread.
typedef ImageScanlineIterator< TOutputImage > OutputIterator;
OutputIterator outIt(outputPtr, outputRegionForThread);
// Define a few indices that will be used to translate from an input pixel
// to an output pixel
PointType outputPoint; // Coordinates of current output pixel
PointType inputPoint; // Coordinates of current input pixel
PointType tmpOutputPoint;
PointType tmpInputPoint;
ContinuousInputIndexType inputIndex;
ContinuousInputIndexType tmpInputIndex;
typedef typename PointType::VectorType VectorType;
VectorType delta; // delta in input continuous index coordinate frame
IndexType index;
const typename OutputImageRegionType::SizeType ®ionSize = outputRegionForThread.GetSize();
const SizeValueType numberOfLinesToProcess = outputRegionForThread.GetNumberOfPixels() / regionSize[0];
// Support for progress methods/callbacks
ProgressReporter progress( this,
threadId,
numberOfLinesToProcess );
typedef typename InterpolatorType::OutputType OutputType;
// Cache information from the superclass
PixelType defaultValue = this->GetDefaultPixelValue();
// Min/max values of the output pixel type AND these values
// represented as the output type of the interpolator
const PixelComponentType minValue = NumericTraits< PixelComponentType >::NonpositiveMin();
const PixelComponentType maxValue = NumericTraits< PixelComponentType >::max();
typedef typename InterpolatorType::OutputType OutputType;
const ComponentType minOutputValue = static_cast< ComponentType >( minValue );
const ComponentType maxOutputValue = static_cast< ComponentType >( maxValue );
// Determine the position of the first pixel in the scanline
index = outIt.GetIndex();
outputPtr->TransformIndexToPhysicalPoint(index, outputPoint);
// Compute corresponding input pixel position
inputPoint = transformPtr->TransformPoint(outputPoint);
inputPtr->TransformPhysicalPointToContinuousIndex(inputPoint, inputIndex);
// As we walk across a scan line in the output image, we trace
// an oriented/scaled/translated line in the input image. Cache
// the delta along this line in continuous index space of the input
// image. This allows us to use vector addition to model the
// transformation.
//
// To find delta, we take two pixels adjacent in a scanline
// and determine the continuous indices of these pixels when
// mapped to the input coordinate frame. We use the difference
// between these two continuous indices as the delta to apply
// to an index to trace line in the input image as we move
// across the scanline of the output image.
//
// We determine delta in this manner so that Images
// are both handled properly (taking into account the direction cosines).
//
++index[0];
outputPtr->TransformIndexToPhysicalPoint(index, tmpOutputPoint);
tmpInputPoint = transformPtr->TransformPoint(tmpOutputPoint);
inputPtr->TransformPhysicalPointToContinuousIndex(tmpInputPoint,
tmpInputIndex);
delta = tmpInputIndex - inputIndex;
while ( !outIt.IsAtEnd() )
{
// Determine the continuous index of the first pixel of output
// scanline when mapped to the input coordinate frame.
//
// First get the position of the pixel in the output coordinate frame
index = outIt.GetIndex();
outputPtr->TransformIndexToPhysicalPoint(index, outputPoint);
// Compute corresponding input pixel continuous index, this index
// will incremented in the scanline loop
inputPoint = transformPtr->TransformPoint(outputPoint);
inputPtr->TransformPhysicalPointToContinuousIndex(inputPoint, inputIndex);
while ( !outIt.IsAtEndOfLine() )
{
PixelType pixval;
OutputType value;
// Evaluate input at right position and copy to the output
if ( m_Interpolator->IsInsideBuffer(inputIndex) )
{
value = m_Interpolator->EvaluateAtContinuousIndex(inputIndex);
pixval = this->CastPixelWithBoundsChecking( value, minOutputValue, maxOutputValue );
outIt.Set(pixval);
}
else
{
if( m_Extrapolator.IsNull() )
{
outIt.Set(defaultValue); // default background value
}
else
{
value = m_Extrapolator->EvaluateAtContinuousIndex( inputIndex );
pixval = this->CastPixelWithBoundsChecking( value, minOutputValue, maxOutputValue );
outIt.Set(pixval);
}
}
++outIt;
inputIndex += delta;
}
progress.CompletedPixel();
outIt.NextLine();
} //while( !outIt.IsAtEnd() )
}
/**
* Inform pipeline of necessary input image region
*
* Determining the actual input region is non-trivial, especially
* when we cannot assume anything about the transform being used.
* So we do the easy thing and request the entire input image.
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::GenerateInputRequestedRegion()
{
// call the superclass's implementation of this method
Superclass::GenerateInputRequestedRegion();
if ( !this->GetInput() )
{
return;
}
// get pointers to the input and output
InputImagePointer inputPtr =
const_cast< TInputImage * >( this->GetInput() );
// Request the entire input image
inputPtr->SetRequestedRegionToLargestPossibleRegion();
}
/**
* Inform pipeline of required output region
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
void
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::GenerateOutputInformation()
{
// call the superclass' implementation of this method
Superclass::GenerateOutputInformation();
// get pointers to the input and output
OutputImageType *outputPtr = this->GetOutput();
if ( !outputPtr )
{
return;
}
const ReferenceImageBaseType *referenceImage = this->GetReferenceImage();
// Set the size of the output region
if ( m_UseReferenceImage && referenceImage )
{
outputPtr->SetLargestPossibleRegion(
referenceImage->GetLargestPossibleRegion() );
}
else
{
typename TOutputImage::RegionType outputLargestPossibleRegion;
outputLargestPossibleRegion.SetSize(m_Size);
outputLargestPossibleRegion.SetIndex(m_OutputStartIndex);
outputPtr->SetLargestPossibleRegion(outputLargestPossibleRegion);
}
// Set spacing and origin
if ( m_UseReferenceImage && referenceImage )
{
outputPtr->SetSpacing( referenceImage->GetSpacing() );
outputPtr->SetOrigin( referenceImage->GetOrigin() );
outputPtr->SetDirection( referenceImage->GetDirection() );
}
else
{
outputPtr->SetSpacing(m_OutputSpacing);
outputPtr->SetOrigin(m_OutputOrigin);
outputPtr->SetDirection(m_OutputDirection);
}
}
/**
* Verify if any of the components has been modified.
*/
template< typename TInputImage,
typename TOutputImage,
typename TInterpolatorPrecisionType,
typename TTransformPrecisionType >
ModifiedTimeType
ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >
::GetMTime(void) const
{
ModifiedTimeType latestTime = Object::GetMTime();
if ( m_Interpolator )
{
if ( latestTime < m_Interpolator->GetMTime() )
{
latestTime = m_Interpolator->GetMTime();
}
}
return latestTime;
}
} // end namespace itk
#endif