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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 itkConnectedThresholdImageFilter_hxx
#define itkConnectedThresholdImageFilter_hxx
#include "itkConnectedThresholdImageFilter.h"
#include "itkBinaryThresholdImageFunction.h"
#include "itkFloodFilledImageFunctionConditionalIterator.h"
#include "itkProgressReporter.h"
#include "itkShapedFloodFilledImageFunctionConditionalIterator.h"
#include "itkMath.h"
namespace itk
{
template< typename TInputImage, typename TOutputImage >
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::ConnectedThresholdImageFilter() :
m_ReplaceValue( NumericTraits< OutputImagePixelType >::OneValue() ),
m_Connectivity( FaceConnectivity )
{
typename InputPixelObjectType::Pointer lower = InputPixelObjectType::New();
lower->Set( NumericTraits< InputImagePixelType >::NonpositiveMin() );
this->ProcessObject::SetNthInput(1, lower);
typename InputPixelObjectType::Pointer upper = InputPixelObjectType::New();
upper->Set( NumericTraits< InputImagePixelType >::max() );
this->ProcessObject::SetNthInput(2, upper);
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::SetSeed(const IndexType & seed)
{
this->ClearSeeds();
this->AddSeed( seed );
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::AddSeed(const IndexType & seed)
{
this->m_Seeds.push_back(seed);
this->Modified();
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::ClearSeeds()
{
if ( m_Seeds.size() > 0 )
{
this->m_Seeds.clear();
this->Modified();
}
}
template< typename TInputImage, typename TOutputImage >
const typename ConnectedThresholdImageFilter< TInputImage, TOutputImage >::SeedContainerType &
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GetSeeds() const
{
return this->m_Seeds;
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GenerateInputRequestedRegion()
{
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
InputImageType * image =
const_cast< InputImageType * >( this->GetInput() );
image->SetRequestedRegionToLargestPossibleRegion();
}
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::EnlargeOutputRequestedRegion(DataObject *output)
{
Superclass::EnlargeOutputRequestedRegion(output);
output->SetRequestedRegionToLargestPossibleRegion();
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::SetLowerInput(const InputPixelObjectType *input)
{
if ( input != this->GetLowerInput() )
{
this->ProcessObject::SetNthInput( 1,
const_cast< InputPixelObjectType * >( input ) );
this->Modified();
}
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::SetUpperInput(const InputPixelObjectType *input)
{
if ( input != this->GetUpperInput() )
{
this->ProcessObject::SetNthInput( 2,
const_cast< InputPixelObjectType * >( input ) );
this->Modified();
}
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::SetUpper(const InputImagePixelType threshold)
{
// first check to see if anything changed
typename InputPixelObjectType::Pointer upper = this->GetUpperInput();
if ( upper && Math::ExactlyEquals(upper->Get(), threshold) )
{
return;
}
// Create a data object to use as the input and to store this
// threshold. we always create a new data object to use as the input
// since we do not want to change the value in any current input
// (the current input could be the output of another filter or the
// current input could be used as an input to several filters).
upper = InputPixelObjectType::New();
this->ProcessObject::SetNthInput(2, upper);
upper->Set(threshold);
this->Modified();
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::SetLower(const InputImagePixelType threshold)
{
// first check to see if anything changed
typename InputPixelObjectType::Pointer lower = this->GetLowerInput();
if ( lower && Math::ExactlyEquals(lower->Get(), threshold) )
{
return;
}
// Create a data object to use as the input and to store this
// threshold. we always create a new data object to use as the input
// since we do not want to change the value in any current input
// (the current input could be the output of another filter or the
// current input could be used as an input to several filters).
lower = InputPixelObjectType::New();
this->ProcessObject::SetNthInput(1, lower);
lower->Set(threshold);
this->Modified();
}
template< typename TInputImage, typename TOutputImage >
typename ConnectedThresholdImageFilter< TInputImage, TOutputImage >::InputPixelObjectType *
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GetLowerInput()
{
typename InputPixelObjectType::Pointer lower =
static_cast< InputPixelObjectType * >( this->ProcessObject::GetInput(1) );
if ( !lower )
{
// No input object available, create a new one and set it to the
// default threshold
lower = InputPixelObjectType::New();
lower->Set( NumericTraits< InputImagePixelType >::NonpositiveMin() );
this->ProcessObject::SetNthInput(1, lower);
}
return lower;
}
template< typename TInputImage, typename TOutputImage >
typename ConnectedThresholdImageFilter< TInputImage, TOutputImage >::InputPixelObjectType *
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GetUpperInput()
{
typename InputPixelObjectType::Pointer upper =
static_cast< InputPixelObjectType * >( this->ProcessObject::GetInput(2) );
if ( !upper )
{
// No input object available, create a new one and set it to the
// default threshold
upper = InputPixelObjectType::New();
upper->Set( NumericTraits< InputImagePixelType >::NonpositiveMin() );
this->ProcessObject::SetNthInput(2, upper);
}
return upper;
}
template< typename TInputImage, typename TOutputImage >
typename ConnectedThresholdImageFilter< TInputImage, TOutputImage >::InputImagePixelType
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GetLower() const
{
typename InputPixelObjectType::Pointer lower =
const_cast< Self * >( this )->GetLowerInput();
return lower->Get();
}
template< typename TInputImage, typename TOutputImage >
typename ConnectedThresholdImageFilter< TInputImage, TOutputImage >::InputImagePixelType
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GetUpper() const
{
typename InputPixelObjectType::Pointer upper =
const_cast< Self * >( this )->GetUpperInput();
return upper->Get();
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::GenerateData()
{
const InputImageType* inputImage = this->GetInput();
OutputImageType* outputImage = this->GetOutput();
const InputPixelObjectType* lowerThreshold = this->GetLowerInput();
const InputPixelObjectType* upperThreshold = this->GetUpperInput();
const InputImagePixelType lower = lowerThreshold->Get();
const InputImagePixelType upper = upperThreshold->Get();
// Zero the output
OutputImageRegionType region = outputImage->GetRequestedRegion();
outputImage->SetBufferedRegion(region);
outputImage->Allocate();
outputImage->FillBuffer(NumericTraits< OutputImagePixelType >::ZeroValue());
typedef BinaryThresholdImageFunction< InputImageType, double > FunctionType;
typename FunctionType::Pointer function = FunctionType::New();
function->SetInputImage( inputImage );
function->ThresholdBetween( lower, upper );
ProgressReporter progress( this, 0, region.GetNumberOfPixels() );
if ( this->m_Connectivity == FaceConnectivity )
{
typedef FloodFilledImageFunctionConditionalIterator< OutputImageType, FunctionType > IteratorType;
IteratorType it (outputImage, function, m_Seeds);
it.GoToBegin();
while ( !it.IsAtEnd() )
{
it.Set(m_ReplaceValue);
++it;
progress.CompletedPixel(); // potential exception thrown here
}
}
else if ( this->m_Connectivity == FullConnectivity )
{
// Use the fully connected iterator here. The fully connected iterator
// below is a superset of the above. However, it is reported to be 20%
// slower. Hence we use this "if" block to use the old iterator when
// we don't need full connectivity.
typedef ShapedFloodFilledImageFunctionConditionalIterator< OutputImageType, FunctionType > IteratorType;
IteratorType it (outputImage, function, m_Seeds);
it.FullyConnectedOn();
it.GoToBegin();
while ( !it.IsAtEnd() )
{
it.Set(m_ReplaceValue);
++it;
progress.CompletedPixel(); // potential exception thrown here
}
}
}
template< typename TInputImage, typename TOutputImage >
void
ConnectedThresholdImageFilter< TInputImage, TOutputImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
this->Superclass::PrintSelf(os, indent);
os << indent << "Upper: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( this->GetUpper() )
<< std::endl;
os << indent << "Lower: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( this->GetLower() )
<< std::endl;
os << indent << "ReplaceValue: "
<< static_cast< typename NumericTraits< OutputImagePixelType >::PrintType >( m_ReplaceValue )
<< std::endl;
os << indent << "Seeds: ";
for (unsigned int i = 0; i < this->m_Seeds.size(); ++i)
{
os << " " << this->m_Seeds[i] << std::endl;
}
os << std::endl;
os << indent << "Connectivity: " << m_Connectivity << std::endl;
}
} // end namespace itk
#endif
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