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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 itkZeroCrossingImageFilter_hxx
#define itkZeroCrossingImageFilter_hxx
#include "itkConstNeighborhoodIterator.h"
#include "itkZeroCrossingImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkFixedArray.h"
#include "itkProgressReporter.h"
#include "itkMath.h"
namespace itk
{
template< typename TInputImage, typename TOutputImage >
void
ZeroCrossingImageFilter< TInputImage, TOutputImage >
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// get pointers to the input and output
typename Superclass::InputImagePointer inputPtr =
const_cast< TInputImage * >( this->GetInput() );
typename Superclass::OutputImagePointer outputPtr = this->GetOutput();
if ( !inputPtr || !outputPtr )
{
return;
}
// Build an operator so that we can determine the kernel size
SizeValueType radius = NumericTraits< SizeValueType >::ZeroValue();
// get a copy of the input requested region (should equal the output
// requested region)
typename TInputImage::RegionType inputRequestedRegion;
inputRequestedRegion = inputPtr->GetRequestedRegion();
// pad the input requested region by the operator radius
inputRequestedRegion.PadByRadius(radius);
// 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
InvalidRequestedRegionError e(__FILE__, __LINE__);
e.SetLocation(ITK_LOCATION);
e.SetDescription("Requested region is (at least partially) outside the largest possible region.");
e.SetDataObject(inputPtr);
throw e;
}
}
template< typename TInputImage, typename TOutputImage >
void
ZeroCrossingImageFilter< TInputImage, TOutputImage >
::ThreadedGenerateData(const OutputImageRegionType & outputRegionForThread,
ThreadIdType threadId)
{
unsigned int i;
ZeroFluxNeumannBoundaryCondition< TInputImage > nbc;
ConstNeighborhoodIterator< TInputImage > bit;
ImageRegionIterator< TOutputImage > it;
typename OutputImageType::Pointer output = this->GetOutput();
typename InputImageType::ConstPointer input = this->GetInput();
// Calculate iterator radius
Size< ImageDimension > radius;
radius.Fill(1);
// Find the data-set boundary "faces"
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage >::
FaceListType faceList;
NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage > bC;
faceList = bC(input, outputRegionForThread, radius);
typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage >::
FaceListType::iterator fit;
// support progress methods/callbacks
ProgressReporter progress( this, threadId, outputRegionForThread.GetNumberOfPixels() );
InputImagePixelType this_one, that, abs_this_one, abs_that;
InputImagePixelType zero = NumericTraits< InputImagePixelType >::ZeroValue();
FixedArray< OffsetValueType, 2 *ImageDimension > offset;
bit = ConstNeighborhoodIterator< InputImageType >( radius,
input,
*faceList.begin() );
//Set the offset of the neighbors to the center pixel.
for ( i = 0; i < ImageDimension; i++ )
{
offset[i] = -1 * static_cast< OffsetValueType >( bit.GetStride(i) );
offset[i + ImageDimension] = bit.GetStride(i);
}
// Process each of the boundary faces. These are N-d regions which border
// the edge of the buffer.
for ( fit = faceList.begin(); fit != faceList.end(); ++fit )
{
bit = ConstNeighborhoodIterator< InputImageType >(radius,
input, *fit);
it = ImageRegionIterator< OutputImageType >(output, *fit);
bit.OverrideBoundaryCondition(&nbc);
bit.GoToBegin();
const SizeValueType center = bit.Size() / 2;
while ( !bit.IsAtEnd() )
{
this_one = bit.GetPixel(center);
it.Set(m_BackgroundValue);
for ( i = 0; i < ImageDimension * 2; i++ )
{
that = bit.GetPixel(center + offset[i]);
if ( ( ( this_one < zero ) && ( that > zero ) )
|| ( ( this_one > zero ) && ( that < zero ) )
|| ( ( Math::ExactlyEquals(this_one, zero) ) && ( Math::NotExactlyEquals(that, zero) ) )
|| ( ( Math::NotExactlyEquals(this_one, zero) ) && ( Math::ExactlyEquals(that, zero) ) ) )
{
abs_this_one = itk::Math::abs(this_one);
abs_that = itk::Math::abs(that);
if ( abs_this_one < abs_that )
{
it.Set(m_ForegroundValue);
break;
}
else if ( Math::ExactlyEquals(abs_this_one, abs_that) && i >= ImageDimension )
{
it.Set(m_ForegroundValue);
break;
}
}
}
++bit;
++it;
progress.CompletedPixel();
}
}
}
template< typename TInputImage, typename TOutputImage >
void
ZeroCrossingImageFilter< TInputImage, TOutputImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "ForegroundValue: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( m_ForegroundValue )
<< std::endl;
os << indent << "BackgroundValue: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( m_BackgroundValue )
<< std::endl;
}
} //end of itk namespace
#endif
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