#include #include #include // ------------------------------------------------------------------------- cpPluginsITKSeparableFilters::SmoothingRecursiveGaussianImageFilter:: SmoothingRecursiveGaussianImageFilter( ) : Superclass( ) { this->_ConfigureInput< cpInstances::DataObjects::Image >( "Input", true, false ); this->_ConfigureOutput< cpInstances::DataObjects::Image >( "Output" ); this->m_Parameters.ConfigureAsRealList( "SigmaArray" ); this->m_Parameters.ConfigureAsRealTypesChoices( "OutputResolution" ); } // ------------------------------------------------------------------------- cpPluginsITKSeparableFilters::SmoothingRecursiveGaussianImageFilter:: ~SmoothingRecursiveGaussianImageFilter( ) { } // ------------------------------------------------------------------------- void cpPluginsITKSeparableFilters::SmoothingRecursiveGaussianImageFilter:: _GenerateData( ) { auto o = this->GetInputData( "Input" ); cpPlugins_Demangle_Image_ScalarPixels_AllDims_1( o, _GD0 ) this->_Error( "Invalid input image dimension." ); } // ------------------------------------------------------------------------- template< class _TImage > void cpPluginsITKSeparableFilters::SmoothingRecursiveGaussianImageFilter:: _GD0( _TImage* image ) { std::string out_res = this->m_Parameters.GetSelectedChoice( "OutputResolution" ); if( out_res == "float" ) this->_GD1< _TImage, float >( image ); if( out_res == "double" ) this->_GD1< _TImage, double >( image ); } // ------------------------------------------------------------------------- template< class _TImage, class _TScalar > void cpPluginsITKSeparableFilters::SmoothingRecursiveGaussianImageFilter:: _GD1( _TImage* image ) { typedef itk::Image< _TScalar, _TImage::ImageDimension > _TOutput; typedef itk::SmoothingRecursiveGaussianImageFilter< _TImage, _TOutput > _TFilter; typedef typename _TFilter::SigmaArrayType _TSigmas; auto param_sigmas = this->m_Parameters.GetRealList( "SigmaArray" ); unsigned int dim = ( param_sigmas.size( ) < _TImage::ImageDimension )? param_sigmas.size( ): _TImage::ImageDimension; _TSigmas sigmas; sigmas.Fill( param_sigmas[ dim - 1 ] ); for( unsigned d = 0; d < dim; ++d ) sigmas[ d ] = param_sigmas[ d ]; // Configure filter _TFilter* filter = this->_CreateITK< _TFilter >( ); filter->SetInput( image ); filter->SetSigmaArray( sigmas ); filter->Update( ); // Connect output this->GetOutput( "Output" )->SetITK( filter->GetOutput( ) ); } // eof - $RCSfile$