# ${PROJECT_BINARY_DIR}/CTBronchi_process.sh
# COPYONLY
# )
-# include_directories(
-# ${PROJECT_SOURCE_DIR}/lib
-# ${PROJECT_BINARY_DIR}/lib
-# ${PROJECT_SOURCE_DIR}/appli
-# ${PROJECT_BINARY_DIR}/appli
-# )
-# set(_pfx fpa_CTBronchi_)
-# set(
-# _examples
-# Process
-# )
-# foreach(_e ${_examples})
-# add_executable(${_pfx}${_e} ${_e}.cxx)
-# target_link_libraries(${_pfx}${_e} fpa)
-# endforeach(_e)
+include_directories(
+ ${PROJECT_SOURCE_DIR}/lib
+ ${PROJECT_BINARY_DIR}/lib
+ ${PROJECT_SOURCE_DIR}/appli
+ ${PROJECT_BINARY_DIR}/appli
+ )
+set(_pfx fpa_CTBronchi_)
+set(
+ _examples
+ Process
+ )
+foreach(_e ${_examples})
+ add_executable(${_pfx}${_e} ${_e}.cxx)
+ target_link_libraries(${_pfx}${_e} fpa)
+endforeach(_e)
endif(fpa_BUILD_CTBronchi)
## eof - $RCSfile$
#define __CTBronchi__Functions__h__
#include <chrono>
+#include <map>
+#include <sstream>
#include <itkImageFileReader.h>
#include <itkImageFileWriter.h>
std::cout << "Wrote " << fname << " in " << t << " s" << std::endl;
}
+ // -----------------------------------------------------------------------
+ bool ParseArgs(
+ std::map< std::string, std::string >& args, int argc, char* argv[]
+ )
+ {
+ std::set< std::string > mandatory;
+ mandatory.insert( "in" );
+ mandatory.insert( "out" );
+ mandatory.insert( "seed" );
+
+ args[ "mori_minimum_threshold" ] = "-850";
+ args[ "mori_signal_kernel_size" ] = "20";
+ args[ "mori_signal_threshold" ] = "100";
+ args[ "mori_signal_influence" ] = "0.5";
+ args[ "mori_lower_threshold" ] = "-1024";
+ args[ "mori_upper_threshold" ] = "0";
+ args[ "mori_delta_threshold" ] = "1";
+ args[ "labelling_upper_threshold" ] = "-550";
+ args[ "random_walker_alpha" ] = "1";
+ args[ "random_walker_beta" ] = "100";
+
+ int i = 1;
+ while( i < argc )
+ {
+ std::string cmd = argv[ i ] + 1;
+ if( cmd == "seed" )
+ {
+ std::stringstream seed;
+ seed
+ << argv[ i + 1 ] << ";"
+ << argv[ i + 2 ] << ";"
+ << argv[ i + 3 ];
+ args[ cmd ] = seed.str( );
+ i += 4;
+ }
+ else
+ {
+ args[ cmd ] = argv[ i + 1 ];
+ i += 2;
+
+ } // fi
+
+ } // elihw
+
+ bool complete = true;
+ for( std::string t: mandatory )
+ complete &= ( args.find( t ) != args.end( ) );
+
+ if( !complete )
+ {
+ std::cerr
+ << "Usage: " << argv[ 0 ] << std::endl
+ << "\t-in filename" << std::endl
+ << "\t-out filename" << std::endl
+ << "\t-seed x y z" << std::endl
+ << "\t[-out_mori filename]" << std::endl
+ << "\t[-out_signal filename]" << std::endl
+ << "\t[-out_labels filename]" << std::endl
+ << "\t[-mori_minimum_threshold value]" << std::endl
+ << "\t[-mori_signal_kernel_size value]" << std::endl
+ << "\t[-mori_signal_threshold value]" << std::endl
+ << "\t[-mori_signal_influence value]" << std::endl
+ << "\t[-mori_lower_threshold value]" << std::endl
+ << "\t[-mori_upper_threshold value]" << std::endl
+ << "\t[-mori_delta_threshold value]" << std::endl
+ << "\t[-labelling_upper_threshold value]" << std::endl
+ << "\t[-random_walker_alpha value]" << std::endl
+ << "\t[-random_walker_beta value]" << std::endl;
+ return( false );
+
+ } // fi
+ return( true );
+ }
+
} // ecapseman
#endif // __CTBronchi__Functions__h__
namespace CTBronchi
{
// -----------------------------------------------------------------------
- template< class _TInputPtr, class _TOutputPtr >
- void Mori(
- _TOutputPtr& output, const _TInputPtr& input,
- const std::map< std::string, std::string >& args
+ template< class _TInputPtr, class _TOutputPtr, class _TSeed >
+ typename _TInputPtr::ObjectType::PixelType Mori(
+ _TOutputPtr& output, const _TInputPtr& input, _TSeed& seed,
+ std::map< std::string, std::string >& args
)
{
typedef typename _TInputPtr::ObjectType _TInput;
typedef typename _TOutputPtr::ObjectType _TOutput;
typedef fpa::Filters::Image::Mori< _TInput, _TOutput > _TMori;
- typedef typename _TInput::PixelType _TInputPixel;
+ typedef typename _TInput::PixelType _TInputPixel;
+ typedef typename _TOutput::PixelType _TOutputPixel;
+
+ _TOutputPixel i_val = _TOutputPixel( 1 );
+ _TOutputPixel o_val = _TOutputPixel( 0 );
typename _TMori::Pointer mori = _TMori::New( );
mori->SetInput( input );
- mori->SetSeed( global_seed );
- mori->SetInsideValue( inside_value );
- mori->SetOutsideValue( outside_value );
+ mori->SetSeed( seed );
+ mori->SetInsideValue( i_val );
+ mori->SetOutsideValue( o_val );
mori->SetMinimumThreshold(
_TInputPixel( std::atof( args[ "mori_minimum_threshold" ].c_str( ) ) )
);
signal << x << " " << y << std::endl;
} // rof
-
std::ofstream signals_str( i->second.c_str( ) );
signals_str << signal.str( );
signals_str.close( );
} // fi
output->DisconnectPipeline( );
+ return( mori->GetOptimumThreshold( ) );
}
} // ecapseman
#ifndef __CTBronchi__MoriLabelling__h__
#define __CTBronchi__MoriLabelling__h__
+#include <map>
+#include <fpa/Filters/BaseMarksInterface.h>
+#include <fpa/Filters/Image/SeedsFromLabelsInterface.h>
#include <fpa/Filters/Image/DefaultTraits.h>
-#include <fpa/Filters/MarksInterface.h>
-#include <fpa/Filters/Image/LabelsSeedFilter.h>
-#include <fpa/Filters/Image/LabelsSeedInterface.h>
#include <fpa/Filters/Image/RegionGrow.h>
#include <fpa/Functors/RegionGrow/BinaryThreshold.h>
*/
template< class _TInputImage, class _TLabelImage >
class MoriLabellingTraits
- : public fpa::Filters::Image::DefaultTraits< _TInputImage, _TLabelImage, typename _TLabelImage::PixelType >
+ : public fpa::Filters::Image::DefaultTraits< _TInputImage, _TLabelImage, typename _TLabelImage::PixelType >
{
public:
typedef _TInputImage TInputImage;
typedef _TLabelImage TLabelImage;
- typedef fpa::Filters::Image::DefaultTraits< TInputImage, TLabelImage, typename TLabelImage::PixelType > Superclass;
-
- typedef typename Superclass::TInternalTraits TInternalTraits;
- typedef typename Superclass::TFilter TFilter;
- typedef fpa::Filters::MarksInterface< TInternalTraits > TMarksInterface;
- typedef fpa::Filters::Image::LabelsSeedInterface< TInternalTraits > TSeedsInterface;
+ typedef typename TLabelImage::PixelType TLabel;
+ typedef fpa::Filters::Image::DefaultTraits< TInputImage, TLabelImage, TLabel > Superclass;
+ typedef typename Superclass::TInternalTraits TInternalTraits;
+ typedef typename Superclass::TMarksImage TMarksImage;
+ typedef typename Superclass::TFilterInterface TFilterInterface;
+
+ typedef fpa::Filters::BaseMarksInterface< TInternalTraits > TMarksInterface;
+ typedef fpa::Filters::Image::SeedsFromLabelsInterface< TInternalTraits > TSeedsInterface;
};
/**
*/
template< class _TInputImage, class _TLabelImage >
class MoriLabelling
- : public fpa::Filters::Image::LabelsSeedFilter< fpa::Filters::Image::Algorithm< fpa::Filters::RegionGrow< CTBronchi::MoriLabellingTraits< _TInputImage, _TLabelImage > > >, _TLabelImage >
+ : public fpa::Filters::Image::RegionGrow< _TInputImage, _TLabelImage, typename _TLabelImage::PixelType, CTBronchi::MoriLabellingTraits< _TInputImage, _TLabelImage > >
{
public:
typedef _TInputImage TInputImage;
typedef _TLabelImage TLabelImage;
typedef CTBronchi::MoriLabellingTraits< TInputImage, TLabelImage > TTraits;
- fpaTraitsMacro( typename, TTraits );
-
- typedef fpa::Filters::RegionGrow< TTraits > TBase;
- typedef fpa::Filters::Image::Algorithm< TBase > TAlgorithm;
- typedef fpa::Filters::Image::LabelsSeedFilter< TAlgorithm, _TLabelImage > Superclass;
- typedef MoriLabelling Self;
- typedef itk::SmartPointer< Self > Pointer;
- typedef itk::SmartPointer< const Self > ConstPointer;
+ fpaTraitsMacro( typename TTraits );
- typedef fpa::Functors::RegionGrow::BinaryThreshold< TInputValue > TLabelFunctor;
+ typedef fpa::Filters::Image::RegionGrow< TInputImage, TLabelImage, TMark, TTraits > Superclass;
+ typedef MoriLabelling Self;
+ typedef itk::SmartPointer< Self > Pointer;
+ typedef itk::SmartPointer< const Self > ConstPointer;
+ typedef fpa::Functors::RegionGrow::BinaryThreshold< TInputValue > TFunctor;
public:
itkNewMacro( Self );
itkTypeMacro( CTBronchi::MoriLabelling, fpa::Filters::Image::RegionGrow );
- itkGetConstMacro( InputInsideValue, TInputValue );
- itkSetMacro( InputInsideValue, TInputValue );
+ itkGetConstMacro( LastThreshold, TInputValue );
+ itkSetMacro( LastThreshold, TInputValue );
+
+ fpaFilterInputMacro( InputLabels, TLabelImage );
public:
TInputValue GetUpperThreshold( ) const;
MoriLabelling( );
virtual ~MoriLabelling( );
- virtual void _UpdateOutputValue( TNode& n ) override;
+ virtual const itk::DataObject* _GetReferenceInput( ) const override;
+ virtual void _PostComputeOutputValue( TNode& n ) override;
private:
// Purposely not implemented.
Self& operator=( const Self& other );
protected:
- typename TLabelFunctor::Pointer m_LabelFunctor;
- TInputValue m_InputInsideValue;
+ typename TFunctor::Pointer m_Functor;
+ TInputValue m_LastThreshold;
};
} // ecapseman
TInputValue CTBronchi::MoriLabelling< _TInputImage, _TLabelImage >::
GetUpperThreshold( ) const
{
- return( this->m_LabelFunctor->GetUpperThreshold( ) );
+ return( this->m_Functor->GetUpperThreshold( ) );
}
// -------------------------------------------------------------------------
void CTBronchi::MoriLabelling< _TInputImage, _TLabelImage >::
SetUpperThreshold( TInputValue t )
{
- this->m_LabelFunctor->SetUpperThreshold( t );
+ this->m_Functor->SetUpperThreshold( t );
}
// -------------------------------------------------------------------------
template< class _TInputImage, class _TLabelImage >
CTBronchi::MoriLabelling< _TInputImage, _TLabelImage >::
MoriLabelling( )
- : Superclass( )
+ : Superclass( ),
+ m_LastThreshold( TInputValue( 0 ) )
{
- this->m_LabelFunctor = TLabelFunctor::New( );
- this->SetPredicate( this->m_LabelFunctor );
+ fpaFilterInputConfigureMacro( InputLabels, TLabelImage );
+ this->m_Functor = TFunctor::New( );
+ this->SetPredicate( this->m_Functor );
}
// -------------------------------------------------------------------------
{
}
+// -------------------------------------------------------------------------
+template< class _TInputImage, class _TLabelImage >
+const itk::DataObject*
+CTBronchi::MoriLabelling< _TInputImage, _TLabelImage >::
+_GetReferenceInput( ) const
+{
+ return( this->GetInputLabels( ) );
+}
+
// -------------------------------------------------------------------------
template< class _TInputImage, class _TLabelImage >
void CTBronchi::MoriLabelling< _TInputImage, _TLabelImage >::
-_UpdateOutputValue( TNode& n )
+_PostComputeOutputValue( TNode& n )
{
- this->TBase::_UpdateOutputValue( n );
- if( n.FrontId != 0 )
+ this->Superclass::_PostComputeOutputValue( n );
+ if( n.Value == this->GetInsideValue( ) )
{
- const TLabelImage* input_labels = this->GetInputLabels( );
- if( input_labels->GetPixel( n.Vertex ) != this->GetInputInsideValue( ) )
- n.Value = TOutputValue( 0 );
- else
- n.Value = this->GetInsideValue( );
+ const _TInputImage* input = this->GetInput( );
+ const TLabelImage* labels = this->GetInputLabels( );
+ double x = input->GetPixel( n.Vertex );
+ /* TODO
+ double a = std::fabs( x - double( this->m_Functor->GetUpperThreshold( ) ) );
+ double b = std::fabs( x - double( this->m_LastThreshold ) );
+ */
+ if( labels->GetPixel( n.Vertex ) == 0 /* && b < a*/ )
+ n.Value = 0;
} // fi
- this->GetOutput( )->SetPixel( n.Vertex, n.Value );
}
+// -------------------------------------------------------------------------
+namespace CTBronchi
+{
+ template< class _TInputPtr, class _TOutputPtr, class _TInputValue >
+ void Label(
+ _TOutputPtr& output,
+ const _TInputPtr& input, const _TOutputPtr& input_labels,
+ const _TInputValue& last_thr,
+ std::map< std::string, std::string >& args
+ )
+ {
+ typedef typename _TInputPtr::ObjectType _TInput;
+ typedef typename _TOutputPtr::ObjectType _TOutput;
+ typedef CTBronchi::MoriLabelling< _TInput, _TOutput > _TLabelling;
+
+ typename _TLabelling::Pointer labelling = _TLabelling::New( );
+ labelling->SetInput( input );
+ labelling->SetInputLabels( input_labels );
+ labelling->SetOutsideValue( 2 );
+ labelling->SetInsideValue( 1 );
+ labelling->SetUpperThreshold(
+ _TInputValue( std::atof( args[ "labelling_upper_threshold" ].c_str( ) ) )
+ );
+ labelling->SetLastThreshold( last_thr );
+ double t = MeasureTime( labelling );
+ std::cout << "Labelling executed in " << t << " s" << std::endl;
+ output = labelling->GetOutput( );
+ std::map< std::string, std::string >::const_iterator i =
+ args.find( "out_labels" );
+ if( i != args.end( ) )
+ WriteImage( output, i->second );
+ output->DisconnectPipeline( );
+ }
+
+} // ecapseman
+
#endif // __CTBronchi__MoriLabelling__hxx__
// eof - $RCSfile$
// @email florez-l@javeriana.edu.co
// =========================================================================
-#include <chrono>
-#include <fstream>
-#include <limits>
-#include <map>
-#include <set>
-#include <sstream>
-#include <string>
#include <itkImage.h>
-#include <itkImageFileReader.h>
-#include <itkImageFileWriter.h>
-#include <fpa/Filters/Image/Mori.h>
-#include <fpa/Filters/Image/RandomWalker.h>
-#include <fpa/Functors/Dijkstra/Image/Gaussian.h>
+#include <CTBronchi/Functions.h>
+#include <CTBronchi/Mori.h>
#include <CTBronchi/MoriLabelling.h>
+#include <CTBronchi/RandomWalker.h>
// -------------------------------------------------------------------------
const unsigned int Dim = 3;
typedef short TInputPixel;
typedef unsigned char TLabelPixel;
typedef float TScalar;
-typedef itk::Image< TInputPixel, Dim > TInputImage;
+typedef itk::Image< TInputPixel, Dim > TImage;
typedef itk::Image< TLabelPixel, Dim > TLabelImage;
typedef itk::Image< TScalar, Dim > TScalarImage;
-typedef std::map< std::string, std::string > TMap;
// -------------------------------------------------------------------------
-TMap Args;
-TInputImage::PointType global_seed;
-TLabelPixel inside_value = TLabelPixel( 1 );
-TLabelPixel outside_value = TLabelPixel( 0 );
-TLabelPixel inside_label = TLabelPixel( 1 );
-TLabelPixel outside_label = TLabelPixel( 2 );
+/* TODO
+ TMap Args;
+ TInputImage::PointType global_seed;
+ TLabelPixel inside_value = TLabelPixel( 1 );
+ TLabelPixel outside_value = TLabelPixel( 0 );
+ TLabelPixel inside_label = TLabelPixel( 1 );
+ TLabelPixel outside_label = TLabelPixel( 2 );
+*/
// -------------------------------------------------------------------------
-double MeasureTime( itk::ProcessObject* f )
-{
- std::chrono::time_point< std::chrono::high_resolution_clock > s, e;
- std::chrono::duration< double > t;
- s = std::chrono::high_resolution_clock::now( );
- f->Update( );
- e = std::chrono::high_resolution_clock::now( );
- t = e - s;
- return( t.count( ) );
-}
-
-// -------------------------------------------------------------------------
-template< class _TImagePtr >
-void ReadImage( _TImagePtr& image, const std::string& fname )
-{
- typedef typename _TImagePtr::ObjectType _TImage;
- typedef itk::ImageFileReader< _TImage > _TReader;
- typename _TReader::Pointer reader = _TReader::New( );
- reader->SetFileName( fname );
- double t = MeasureTime( reader );
- std::cout << "Read " << fname << " in " << t << " s" << std::endl;
- image = reader->GetOutput( );
- image->DisconnectPipeline( );
-}
-
-// -------------------------------------------------------------------------
-template< class _TImagePtr >
-void WriteImage( const _TImagePtr& image, const std::string& fname )
-{
- typedef typename _TImagePtr::ObjectType _TImage;
- typedef itk::ImageFileWriter< _TImage > _TWriter;
- typename _TWriter::Pointer writer = _TWriter::New( );
- writer->SetFileName( fname );
- writer->SetInput( image );
- double t = MeasureTime( writer );
- std::cout << "Wrote " << fname << " in " << t << " s" << std::endl;
-}
-
-// -------------------------------------------------------------------------
-template< class _TInputPtr, class _TOutputPtr >
-void Mori( _TOutputPtr& output, const _TInputPtr& input )
-{
- typedef typename _TInputPtr::ObjectType _TInput;
- typedef typename _TOutputPtr::ObjectType _TOutput;
- typedef fpa::Filters::Image::Mori< _TInput, _TOutput > _TMori;
-
- typename _TMori::Pointer mori = _TMori::New( );
- mori->SetInput( input );
- mori->SetSeed( global_seed );
- mori->SetInsideValue( inside_value );
- mori->SetOutsideValue( outside_value );
- mori->SetMinimumThreshold(
- TInputPixel( std::atof( Args[ "mori_minimum_threshold" ].c_str( ) ) )
- );
- mori->SetSignalKernelSize(
- std::atoi( Args[ "mori_signal_kernel_size" ].c_str( ) )
- );
- mori->SetSignalThreshold(
- std::atof( Args[ "mori_signal_threshold" ].c_str( ) )
- );
- mori->SetSignalInfluence(
- std::atof( Args[ "mori_signal_influence" ].c_str( ) )
- );
- mori->SetThresholds(
- TInputPixel( std::atof( Args[ "mori_lower_threshold" ].c_str( ) ) ),
- TInputPixel( std::atof( Args[ "mori_upper_threshold" ].c_str( ) ) ),
- TInputPixel( std::atof( Args[ "mori_delta_threshold" ].c_str( ) ) )
- );
- double t = MeasureTime( mori );
- std::cout << "Mori executed in " << t << " s" << std::endl;
- output = mori->GetOutput( );
-
- TMap::const_iterator i = Args.find( "out_mori" );
- if( i != Args.end( ) )
- WriteImage( output, i->second );
-
- i = Args.find( "out_signal" );
- if( i != Args.end( ) )
- {
- std::stringstream signal;
- unsigned long nthr = mori->GetNumberOfEvaluatedThresholds( );
- signal << "# nThr = " << nthr << std::endl;
- signal << "# Opt = " << mori->GetOptimumThreshold( ) << std::endl;
- for( unsigned long j = 0; j < nthr; ++j )
- {
- typename _TMori::TPeak p;
- double x, y;
- mori->GetSignalValues( j, x, y, p );
- signal << x << " " << y << std::endl;
-
- } // rof
-
- std::ofstream signals_str( i->second.c_str( ) );
- signals_str << signal.str( );
- signals_str.close( );
-
- } // fi
- output->DisconnectPipeline( );
-}
-
-// -------------------------------------------------------------------------
-template< class _TInputPtr, class _TOutputPtr >
-void Label( _TOutputPtr& output, const _TInputPtr& input, const _TOutputPtr& labels )
-{
- typedef typename _TInputPtr::ObjectType _TInput;
- typedef typename _TOutputPtr::ObjectType _TOutput;
- typedef CTBronchi::MoriLabelling< _TInput, _TOutput > _TLabelling;
-
- typename _TLabelling::Pointer labelling = _TLabelling::New( );
- labelling->SetInput( input );
- labelling->SetInputLabels( labels );
- labelling->SetOutsideValue( outside_label );
- labelling->SetInsideValue( inside_label );
- labelling->SetInputInsideValue( inside_value );
- labelling->SetUpperThreshold(
- TInputPixel( std::atof( Args[ "labelling_upper_threshold" ].c_str( ) ) )
- );
- double t = MeasureTime( labelling );
- std::cout << "Labelling executed in " << t << " s" << std::endl;
- output = labelling->GetOutput( );
- TMap::const_iterator i = Args.find( "out_labels" );
- if( i != Args.end( ) )
- WriteImage( output, i->second );
- output->DisconnectPipeline( );
-}
-
-// -------------------------------------------------------------------------
-template< class _TRawPtr, class _TLabelPtr >
-void RandomWalker( _TLabelPtr& output, const _TRawPtr& raw, const _TLabelPtr& labels )
-{
- typedef typename _TRawPtr::ObjectType _TRaw;
- typedef typename _TLabelPtr::ObjectType _TLabel;
-}
-
-// -------------------------------------------------------------------------
-bool ParseArgs( int argc, char* argv[] )
-{
- std::set< std::string > mandatory;
- mandatory.insert( "in" );
- mandatory.insert( "out_segmentation" );
- mandatory.insert( "seed_x" );
- mandatory.insert( "seed_y" );
- mandatory.insert( "seed_z" );
-
- Args[ "mori_minimum_threshold" ] = "-850";
- Args[ "mori_signal_kernel_size" ] = "20";
- Args[ "mori_signal_threshold" ] = "100";
- Args[ "mori_signal_influence" ] = "0.5";
- Args[ "mori_lower_threshold" ] = "-1024";
- Args[ "mori_upper_threshold" ] = "0";
- Args[ "mori_delta_threshold" ] = "1";
- Args[ "labelling_upper_threshold" ] = "-400";
-
- for( int i = 1; i < argc; i += 2 )
- Args[ argv[ i ] + 1 ] = argv[ i + 1 ];
-
- bool complete = true;
- for( std::string t: mandatory )
- complete &= ( Args.find( t ) != Args.end( ) );
-
- if( !complete )
- {
- std::cerr
- << "Usage: " << argv[ 0 ] << std::endl
- << "\t-in filename" << std::endl
- << "\t-out_segmentation filename" << std::endl
- << "\t-seed_x value -seed_y value -seed_z value" << std::endl
- << "\t[-out_mori filename]" << std::endl
- << "\t[-out_signal filename]" << std::endl
- << "\t[-out_labels filename]" << std::endl
- << "\t[-mori_minimum_threshold value]" << std::endl
- << "\t[-mori_signal_kernel_size value]" << std::endl
- << "\t[-mori_signal_threshold value]" << std::endl
- << "\t[-mori_signal_influence value]" << std::endl
- << "\t[-mori_lower_threshold value]" << std::endl
- << "\t[-mori_upper_threshold value]" << std::endl
- << "\t[-mori_delta_threshold value]" << std::endl
- << "\t[-labelling_upper_threshold value]" << std::endl;
- return( false );
-
- } // fi
- return( true );
-}
+/* TODO
+ template< class _TInputPtr, class _TOutputPtr >
+ void Label( _TOutputPtr& output, const _TInputPtr& input, const _TOutputPtr& labels )
+ {
+ typedef typename _TInputPtr::ObjectType _TInput;
+ typedef typename _TOutputPtr::ObjectType _TOutput;
+ typedef CTBronchi::MoriLabelling< _TInput, _TOutput > _TLabelling;
+
+ typename _TLabelling::Pointer labelling = _TLabelling::New( );
+ labelling->SetInput( input );
+ labelling->SetInputLabels( labels );
+ labelling->SetOutsideValue( outside_label );
+ labelling->SetInsideValue( inside_label );
+ labelling->SetInputInsideValue( inside_value );
+ labelling->SetUpperThreshold(
+ TInputPixel( std::atof( Args[ "labelling_upper_threshold" ].c_str( ) ) )
+ );
+ double t = MeasureTime( labelling );
+ std::cout << "Labelling executed in " << t << " s" << std::endl;
+ output = labelling->GetOutput( );
+ TMap::const_iterator i = Args.find( "out_labels" );
+ if( i != Args.end( ) )
+ WriteImage( output, i->second );
+ output->DisconnectPipeline( );
+ }
+
+ // -------------------------------------------------------------------------
+ template< class _TRawPtr, class _TLabelPtr >
+ void RandomWalker( _TLabelPtr& output, const _TRawPtr& raw, const _TLabelPtr& labels )
+ {
+ typedef typename _TRawPtr::ObjectType _TRaw;
+ typedef typename _TLabelPtr::ObjectType _TLabel;
+ }
+
+ // -------------------------------------------------------------------------
+ bool ParseArgs( int argc, char* argv[] )
+ {
+ std::set< std::string > mandatory;
+ mandatory.insert( "in" );
+ mandatory.insert( "out_segmentation" );
+ mandatory.insert( "seed_x" );
+ mandatory.insert( "seed_y" );
+ mandatory.insert( "seed_z" );
+
+ Args[ "mori_minimum_threshold" ] = "-850";
+ Args[ "mori_signal_kernel_size" ] = "20";
+ Args[ "mori_signal_threshold" ] = "100";
+ Args[ "mori_signal_influence" ] = "0.5";
+ Args[ "mori_lower_threshold" ] = "-1024";
+ Args[ "mori_upper_threshold" ] = "0";
+ Args[ "mori_delta_threshold" ] = "1";
+ Args[ "labelling_upper_threshold" ] = "-400";
+
+ for( int i = 1; i < argc; i += 2 )
+ Args[ argv[ i ] + 1 ] = argv[ i + 1 ];
+
+ bool complete = true;
+ for( std::string t: mandatory )
+ complete &= ( Args.find( t ) != Args.end( ) );
+
+ if( !complete )
+ {
+ std::cerr
+ << "Usage: " << argv[ 0 ] << std::endl
+ << "\t-in filename" << std::endl
+ << "\t-out_segmentation filename" << std::endl
+ << "\t-seed_x value -seed_y value -seed_z value" << std::endl
+ << "\t[-out_mori filename]" << std::endl
+ << "\t[-out_signal filename]" << std::endl
+ << "\t[-out_labels filename]" << std::endl
+ << "\t[-mori_minimum_threshold value]" << std::endl
+ << "\t[-mori_signal_kernel_size value]" << std::endl
+ << "\t[-mori_signal_threshold value]" << std::endl
+ << "\t[-mori_signal_influence value]" << std::endl
+ << "\t[-mori_lower_threshold value]" << std::endl
+ << "\t[-mori_upper_threshold value]" << std::endl
+ << "\t[-mori_delta_threshold value]" << std::endl
+ << "\t[-labelling_upper_threshold value]" << std::endl;
+ return( false );
+
+ } // fi
+ return( true );
+ }
+*/
// -------------------------------------------------------------------------
int main( int argc, char* argv[] )
{
+ std::map< std::string, std::string > args;
try
{
- if( ParseArgs( argc, argv ) )
+ if( CTBronchi::ParseArgs( args, argc, argv ) )
{
// Parse seed
- global_seed[ 0 ] = std::atof( Args[ "seed_x" ].c_str( ) );
- global_seed[ 1 ] = std::atof( Args[ "seed_y" ].c_str( ) );
- global_seed[ 2 ] = std::atof( Args[ "seed_z" ].c_str( ) );
+ TImage::PointType seed;
+ char* str = new char[ args[ "seed" ].size( ) + 1 ];
+ strcpy( str, args[ "seed" ].c_str( ) );
+ seed[ 0 ] = std::atof( strtok( str, ";" ) );
+ seed[ 1 ] = std::atof( strtok( NULL, ";" ) );
+ seed[ 2 ] = std::atof( strtok( NULL, ";" ) );
// Read input image
- TInputImage::Pointer input_image;
- ReadImage( input_image, Args[ "in" ] );
+ TImage::Pointer input_image;
+ CTBronchi::ReadImage( input_image, args[ "in" ] );
// Mori segmentation
TLabelImage::Pointer mori;
- Mori( mori, input_image );
+ TInputPixel opt_thr = CTBronchi::Mori( mori, input_image, seed, args );
- // Create labels
+ // Label image
TLabelImage::Pointer labels;
- Label( labels, input_image, mori );
+ CTBronchi::Label( labels, input_image, mori, opt_thr, args );
- return( 0 );
+ // Final segmentation
+ TScalarImage::Pointer segmentation;
+ CTBronchi::RandomWalker( segmentation, input_image, labels, args );
- } // fi
- return( 1 );
+ // Save
+ CTBronchi::WriteImage( segmentation, args[ "out" ] );
+ }
+ else
+ return( 1 );
}
catch( std::exception& err )
{
return( 1 );
} // yrt
+ return( 0 );
+
+ /* TODO
+ try
+ {
+ if( ParseArgs( argc, argv ) )
+ {
+ // Parse seed
+ global_seed[ 0 ] = std::atof( Args[ "seed_x" ].c_str( ) );
+ global_seed[ 1 ] = std::atof( Args[ "seed_y" ].c_str( ) );
+ global_seed[ 2 ] = std::atof( Args[ "seed_z" ].c_str( ) );
+
+ // Read input image
+ TInputImage::Pointer input_image;
+ ReadImage( input_image, Args[ "in" ] );
+
+ // Mori segmentation
+ TLabelImage::Pointer mori;
+ Mori( mori, input_image );
+
+ // Create labels
+ TLabelImage::Pointer labels;
+ Label( labels, input_image, mori );
+
+ return( 0 );
+
+ } // fi
+ return( 1 );
+ }
+ */
/* TODO
if [ -z "$label_upper_threshold" ]; then label_upper_threshold="-600"; fi
if [ -z "$label_inside" ]; then label_inside="1"; fi
--- /dev/null
+// =========================================================================
+// @author Leonardo Florez Valencia
+// @email florez-l@javeriana.edu.co
+// =========================================================================
+#ifndef __CTBronchi__RandomWalker__h__
+#define __CTBronchi__RandomWalker__h__
+
+#include <map>
+#include <CTBronchi/Functions.h>
+#include <fpa/Filters/Image/RandomWalker.h>
+#include <fpa/Functors/Dijkstra/Image/Gaussian.h>
+
+namespace CTBronchi
+{
+ // -----------------------------------------------------------------------
+ template< class _TInputPtr, class _TOutputPtr, class _TLabelPtr >
+ void RandomWalker(
+ _TOutputPtr& output,
+ const _TInputPtr& input, const _TLabelPtr& labels,
+ std::map< std::string, std::string >& args
+ )
+ {
+ typedef typename _TInputPtr::ObjectType _TInput;
+ typedef typename _TOutputPtr::ObjectType _TOutput;
+ typedef typename _TLabelPtr::ObjectType _TLabel;
+ typedef typename _TOutput::PixelType _TOutputPixel;
+ typedef fpa::Filters::Image::RandomWalker< _TInput, _TLabel, _TOutputPixel > _TRandomWalker;
+ typedef fpa::Functors::Dijkstra::Image::Gaussian< _TInput, _TOutputPixel > _TWeight;
+
+ typename _TWeight::Pointer weight = _TWeight::New( );
+ weight->SetAlpha( std::atof( args[ "random_walker_alpha" ].c_str( ) ) );
+ weight->SetBeta( std::atof( args[ "random_walker_beta" ].c_str( ) ) );
+
+ typename _TRandomWalker::Pointer rw = _TRandomWalker::New( );
+ rw->SetInputImage( input );
+ rw->SetInputLabels( labels );
+ rw->SetWeightFunction( weight );
+ double t = CTBronchi::MeasureTime( rw );
+ std::cout << "RandomWalker executed in " << t << " s" << std::endl;
+ output = rw->GetOutput( );
+ output->DisconnectPipeline( );
+ }
+
+} // ecapseman
+
+#endif // __CTBronchi__Functions__h__
+
+// eof - $RCSfile$
node.Vertex = lIt.GetIndex( );
node.Parent = lIt.GetIndex( );
node.FrontId = lIt.Get( );
- node.Value = TOutputValue( 0 );
+ node.Value = lIt.Get( );
if( !is_seed )
{
this->_AssignOutputValue( node );