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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 itkLabelMapOverlayImageFilter_hxx
#define itkLabelMapOverlayImageFilter_hxx
#include "itkLabelMapOverlayImageFilter.h"
#include "itkNumericTraits.h"
#include "itkProgressReporter.h"
#include "itkImageScanlineIterator.h"
namespace itk {
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::LabelMapOverlayImageFilter()
{
this->SetNumberOfRequiredInputs(2);
m_Opacity = 0.5;
}
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
LabelMapPointer input = const_cast<LabelMapType *>(this->GetInput());
if ( !input )
{ return; }
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
template <typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::BeforeThreadedGenerateData()
{
ThreadIdType nbOfThreads = this->GetNumberOfThreads();
if( itk::MultiThreader::GetGlobalMaximumNumberOfThreads() != 0 )
{
nbOfThreads = std::min( this->GetNumberOfThreads(), itk::MultiThreader::GetGlobalMaximumNumberOfThreads() );
}
// number of threads can be constrained by the region size, so call the SplitRequestedRegion
// to get the real number of threads which will be used
typename TOutputImage::RegionType splitRegion; // dummy region - just to call the following method
nbOfThreads = this->SplitRequestedRegion(0, nbOfThreads, splitRegion);
// std::cout << "nbOfThreads: " << nbOfThreads << std::endl;
m_Barrier = Barrier::New();
m_Barrier->Initialize( nbOfThreads );
Superclass::BeforeThreadedGenerateData();
}
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::ThreadedGenerateData( const OutputImageRegionType& outputRegionForThread, ThreadIdType threadId )
{
OutputImageType * output = this->GetOutput();
LabelMapType * input = const_cast<LabelMapType *>(this->GetInput());
const FeatureImageType * input2 = this->GetFeatureImage();
FunctorType function( m_Functor );
function.SetBackgroundValue( input->GetBackgroundValue() );
function.SetOpacity( m_Opacity );
ImageScanlineConstIterator< FeatureImageType > featureIt( input2, outputRegionForThread );
ImageScanlineIterator< OutputImageType > outputIt( output, outputRegionForThread );
while ( !featureIt.IsAtEnd() )
{
while ( !featureIt.IsAtEndOfLine() )
{
outputIt.Set( function( featureIt.Get(), input->GetBackgroundValue() ) );
++featureIt;
++outputIt;
}
featureIt.NextLine();
outputIt.NextLine();
}
// wait for the other threads to complete that part
m_Barrier->Wait();
// and delegate to the superclass implementation to use the thread support for the label objects
Superclass::ThreadedGenerateData( outputRegionForThread, threadId );
}
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::ThreadedProcessLabelObject( LabelObjectType * labelObject )
{
OutputImageType * output = this->GetOutput();
LabelMapType * input = const_cast<LabelMapType *>(this->GetInput());
const FeatureImageType * input2 = this->GetFeatureImage();
FunctorType function( m_Functor );
function.SetBackgroundValue( input->GetBackgroundValue() );
function.SetOpacity( m_Opacity );
const typename LabelObjectType::LabelType & label = labelObject->GetLabel();
// the user want the mask to be the background of the label collection image
typename LabelObjectType::ConstIndexIterator it( labelObject );
while( ! it.IsAtEnd() )
{
const IndexType idx = it.GetIndex();
output->SetPixel( idx, function( input2->GetPixel(idx), label ) );
++it;
}
}
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::GenerateOutputInformation()
{
// this methods is overloaded so that if the output image is a
// VectorImage then the correct number of components are set.
Superclass::GenerateOutputInformation();
OutputImageType* output = this->GetOutput();
if ( !output )
{
return;
}
if ( output->GetNumberOfComponentsPerPixel() != 3 )
{
output->SetNumberOfComponentsPerPixel( 3 );
}
}
template<typename TLabelMap, typename TFeatureImage, typename TOutputImage>
void
LabelMapOverlayImageFilter<TLabelMap, TFeatureImage, TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Opacity: " << m_Opacity << std::endl;
}
}// end namespace itk
#endif
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