18#ifndef sitkFastMarchingImageFilter_h
19#define sitkFastMarchingImageFilter_h
86 SITK_RETURN_SELF_TYPE_HEADER
SetTrialPoints ( std::vector< std::vector<unsigned int> > TrialPoints ) { this->
m_TrialPoints = std::move(TrialPoints);
return *
this; }
128 std::string
GetName()
const {
return std::string (
"FastMarchingImageFilter"); }
151 std::vector< std::vector<unsigned int> >
m_TrialPoints{std::vector< std::vector<unsigned int > >()};
172 SITKBasicFilters_EXPORT Image FastMarching (
const Image& image1, std::vector< std::vector<unsigned int> > trialPoints = std::vector< std::vector<unsigned int > >(),
double normalizationFactor = 1.0,
double stoppingValue = std::numeric_limits<double>::max()/2.0, std::vector<double> initialTrialValues = std::vector<double>() );
Self & SetInitialTrialValues(std::vector< double > InitialTrialValues)
Set the initial seed values for corresponding trial points.
std::vector< std::vector< unsigned int > > m_TrialPoints
double GetStoppingValue() const
virtual ~FastMarchingImageFilter()
Self & SetStoppingValue(double StoppingValue)
double m_NormalizationFactor
std::vector< double > GetInitialTrialValues() const
FastMarchingImageFilter()
FastMarchingImageFilter Self
std::vector< double > m_InitialTrialValues
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
std::vector< std::vector< unsigned int > > GetTrialPoints() const
std::string ToString() const
double GetNormalizationFactor() const
Self & SetTrialPoints(std::vector< std::vector< unsigned int > > TrialPoints)
Self & ClearTrialPoints()
Remove all TrialPoints points.
Image(Self::*)(const Image &image1) MemberFunctionType
Self & SetNormalizationFactor(double NormalizationFactor)
Self & AddTrialPoint(std::vector< unsigned int > point)
Add TrialPoints point.
Image Execute(const Image &image1)
BasicPixelIDTypeList PixelIDTypeList
Image ExecuteInternal(const Image &image1)
std::string GetName() const
The Image class for SimpleITK.
Image FastMarching(const Image &image1, std::vector< std::vector< unsigned int > > trialPoints=std::vector< std::vector< unsigned int > >(), double normalizationFactor=1.0, double stoppingValue=std::numeric_limits< double >::max()/2.0, std::vector< double > initialTrialValues=std::vector< double >())
Solve an Eikonal equation using Fast Marching.
typelist2::typelist< BasicPixelID< int8_t >, BasicPixelID< uint8_t >, BasicPixelID< int16_t >, BasicPixelID< uint16_t >, BasicPixelID< int32_t >, BasicPixelID< uint32_t >, BasicPixelID< float >, BasicPixelID< double > > BasicPixelIDTypeList
*par Constraints *The filter image with at least two dimensions and a vector *length of at least The theory supports extension to scalar but *the implementation of the itk vector classes do not **The template parameter TRealType must be floating point(float or double) or *a user-defined "real" numerical type with arithmetic operations defined *sufficient to compute derivatives. **\par Performance *This filter will automatically multithread if run with *SetUsePrincipleComponents
#define SITKBasicFilters_EXPORT