X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=lib%2Ffpa%2FImage%2FRegionGrowWithMultipleThresholds.hxx;h=2e8c995c20d26ece1a8992b09c2c703f0d604a9c;hb=c7563ffe89c76b52736c3bd6bb2d5e6fac009cdd;hp=0cb1b66598aa225f33799855c44a4435ed376a20;hpb=9f7b6541d030299dff60fb93caa4371f8f9825de;p=FrontAlgorithms.git diff --git a/lib/fpa/Image/RegionGrowWithMultipleThresholds.hxx b/lib/fpa/Image/RegionGrowWithMultipleThresholds.hxx index 0cb1b66..2e8c995 100644 --- a/lib/fpa/Image/RegionGrowWithMultipleThresholds.hxx +++ b/lib/fpa/Image/RegionGrowWithMultipleThresholds.hxx @@ -2,6 +2,8 @@ #define __FPA__IMAGE__REGIONGROWWITHMULTIPLETHRESHOLDS__HXX__ #include +#include +#include // ------------------------------------------------------------------------- template< class I > @@ -17,9 +19,8 @@ template< class I > void fpa::Image::RegionGrowWithMultipleThresholds< I >:: AddThresholds( const TPixel& t0, const TPixel& t1, const unsigned int& s ) { - double o = ( double( t1 ) - double( t0 ) ) / ( double( s ) - double( 1 ) ); - for( unsigned int i = 0; i < s; i++ ) - this->AddThreshold( TPixel( ( double( i ) * o ) + double( t0 ) ) ); + for( TPixel t = t0; t <= t1; t += TPixel( s ) ) + this->AddThreshold( t ); } // ------------------------------------------------------------------------- @@ -27,7 +28,13 @@ template< class I > fpa::Image::RegionGrowWithMultipleThresholds< I >:: RegionGrowWithMultipleThresholds( ) : Superclass( ), - m_DerivativeThreshold( double( 3 ) ) + m_InsideValue( TPixel( 1 ) ), + m_OutsideValue( TPixel( 0 ) ), + m_DifferenceThreshold( double( 3 ) ), + m_TotalCount( 0 ), + m_LastDiff( double( 0 ) ), + m_StopForced( false ), + m_StopThreshold( TPixel( 0 ) ) { } @@ -45,10 +52,17 @@ _BeforeMainLoop( ) { const I* img = this->GetInput( ); + // Clear all states this->ClearMembershipFunctions( ); + this->m_Histogram.clear( ); + this->m_TotalCount = img->GetLargestPossibleRegion( ).GetNumberOfPixels( ); + this->m_LastDiff = double( -1 ); + this->m_StopForced = false; + + // Initialize thresholding functors typename TThresholds::const_iterator tIt = this->m_Thresholds.begin( ); - TPixel min_thr = *tIt; - for( ++tIt; tIt != this->m_Thresholds.end( ); ++tIt ) + TPixel min_thr = std::numeric_limits< TPixel >::min( ); + for( ; tIt != this->m_Thresholds.end( ); ++tIt ) { typename TFunction::Pointer function = TFunction::New( ); function->SetInputImage( img ); @@ -58,30 +72,105 @@ _BeforeMainLoop( ) } // rof + // Correct seeds + typename I::SizeType radius; + radius.Fill( 3 ); + itk::ConstNeighborhoodIterator< I > it( + radius, img, img->GetRequestedRegion( ) + ); + for( unsigned int s = 0; s < this->m_Seeds.size( ); ++s ) + { + _TNode seed = this->m_Seeds[ s ]; + it.SetLocation( seed.Vertex ); + + typename I::SizeType size = it.GetSize( ); + unsigned int nN = 1; + for( unsigned int d = 0; d < I::ImageDimension; ++d ) + nN *= size[ d ]; + TPixel min_value = img->GetPixel( seed.Vertex ); + for( unsigned int i = 0; i < nN; ++i ) + { + if( it.GetPixel( i ) < min_value ) + { + seed.Vertex = it.GetIndex( i ); + seed.Parent = seed.Vertex; + min_value = it.GetPixel( i ); + + } // fi + + } // rof + this->m_Seeds[ s ] = seed; + + } // rof + + // Continue all initializations this->Superclass::_BeforeMainLoop( ); } // ------------------------------------------------------------------------- template< class I > void fpa::Image::RegionGrowWithMultipleThresholds< I >:: -_AfterLoop( ) +_AfterMainLoop( ) { - if( this->m_ActualFunction != this->m_Functions.end( ) ) + typedef itk::BinaryThresholdImageFilter< I, I > _TBinFilter; + + // Binarize, inplace, the grown region + if( this->m_Histogram.size( ) > 1 ) { - TFunction* f = - dynamic_cast< TFunction* >( this->m_ActualFunction->GetPointer( ) ); - // std::cout << f->GetUpperThreshold( ) << " " << this->m_Marks.size( ) << std::endl; + typename _TBinFilter::Pointer bin = _TBinFilter::New( ); + bin->SetInput( this->GetOutput( ) ); + bin->SetInsideValue( this->m_InsideValue ); + bin->SetOutsideValue( this->m_OutsideValue ); + bin->InPlaceOn( ); + if( this->m_StopForced ) + bin->SetUpperThreshold( this->m_StopThreshold ); + else + bin->SetUpperThreshold( this->m_Histogram.rbegin( )->first ); + bin->GraftOutput( this->GetOutput( ) ); + bin->Update( ); + this->GraftOutput( bin->GetOutput( ) ); } // fi - this->Superclass::_AfterLoop( ); + + this->Superclass::_AfterMainLoop( ); } // ------------------------------------------------------------------------- template< class I > void fpa::Image::RegionGrowWithMultipleThresholds< I >:: -_AfterMainLoop( ) +_AfterLoop( ) { - this->Superclass::_AfterMainLoop( ); + if( this->m_ActualFunction != this->m_Functions.end( ) ) + { + TFunction* f = + dynamic_cast< TFunction* >( this->m_ActualFunction->GetPointer( ) ); + this->m_Histogram[ f->GetUpperThreshold( ) ] = this->m_Marks.size( ); + + /* TODO: code to print the signal for demo purposes + std::cout + << f->GetUpperThreshold( ) << " " + << this->m_Marks.size( ) + << std::endl; + */ + + // Get the two last complete count, if any, and compute last + // finite difference + if( this->m_Histogram.size( ) > 1 ) + { + typename THistogram::const_reverse_iterator hIt = + this->m_Histogram.rbegin( ); + typename THistogram::const_reverse_iterator gIt = hIt; + gIt++; + + this->m_LastDiff = double( hIt->second ) - double( gIt->second ); + this->m_LastDiff /= double( hIt->first ) - double( gIt->first ); + this->m_LastDiff *= m_DifferenceThreshold; + } + else + this->m_LastDiff = double( -1 ); + + } // fi + this->Superclass::_AfterLoop( ); } // ------------------------------------------------------------------------- @@ -89,17 +178,77 @@ template< class I > bool fpa::Image::RegionGrowWithMultipleThresholds< I >:: _UpdateResult( _TNode& n ) { - #error ACA VOY -> explicar esto!!!! cambiar salida por una especie de curva de nivel + // Here, the output is changed to the threshold used to compute the + // growing condition of the actual vertex n bool ret = this->Superclass::_UpdateResult( n ); if( this->m_ActualFunction != this->m_Functions.end( ) ) { TFunction* f = dynamic_cast< TFunction* >( this->m_ActualFunction->GetPointer( ) ); - this->GetOutput( )->SetPixel( n.Vertex, f->GetUpperThreshold( ) ); + if( f != NULL ) + this->GetOutput( )->SetPixel( n.Vertex, f->GetUpperThreshold( ) ); } // fi return( ret ); } + +// ------------------------------------------------------------------------- +template< class I > +void fpa::Image::RegionGrowWithMultipleThresholds< I >:: +_Mark( const _TNode& n ) +{ + this->Superclass::_Mark( n ); + + // Check if the histogram's support is enough + if( this->m_Histogram.size( ) < 2 ) + return; + typename THistogram::const_reverse_iterator hIt = + this->m_Histogram.rbegin( ); + + // Get the actual function + TFunction* f = + dynamic_cast< TFunction* >( this->m_ActualFunction->GetPointer( ) ); + if( f == NULL ) + return; + + // Previous pixel count + unsigned long prev_aCount = hIt->second; + double prev_p = double( prev_aCount ) / double( this->m_TotalCount ); + + // Actual pixel count + unsigned long aCount = this->m_Marks.size( ); + double p = double( aCount ) / double( this->m_TotalCount ); + + // Loop over, at least, 0.1% of the total number of pixels before + // performing stop analysis + if( double( 1e-3 ) < p && double( 1e-3 ) < prev_p ) + { + // Does the difference is worthy to be analyzed? + if( aCount > hIt->second ) + { + // Compute finite difference and compare it to the previous one + double diff = double( aCount ) - double( hIt->second ); + diff /= double( f->GetUpperThreshold( ) ) - double( hIt->first ); + if( diff > this->m_LastDiff ) + { + this->m_StopForced = true; + this->m_StopThreshold = hIt->first; + + } // fi + + } // fi + + } // fi +} + +// ------------------------------------------------------------------------- +template< class I > +bool fpa::Image::RegionGrowWithMultipleThresholds< I >:: +_CheckStopCondition( ) +{ + return( this->m_StopForced ); +} + #endif // __FPA__IMAGE__REGIONGROWWITHMULTIPLETHRESHOLDS__HXX__ // eof - $RCSfile$