18#ifndef sitkConfidenceConnectedImageFilter_h
19#define sitkConfidenceConnectedImageFilter_h
63 SITK_RETURN_SELF_TYPE_HEADER
SetSeedList ( std::vector< std::vector<unsigned int> > SeedList ) { this->
m_SeedList = std::move(SeedList);
return *
this; }
132 std::string
GetName()
const {
return std::string (
"ConfidenceConnectedImageFilter"); }
155 std::vector< std::vector<unsigned int> >
m_SeedList{std::vector< std::vector<unsigned int > >()};
183 SITKBasicFilters_EXPORT Image ConfidenceConnected (
const Image& image1, std::vector< std::vector<unsigned int> > seedList = std::vector< std::vector<unsigned int > >(),
unsigned int numberOfIterations = 4u,
double multiplier = 4.5,
unsigned int initialNeighborhoodRadius = 1u, uint8_t replaceValue = 1u );
double GetVariance() const
std::string ToString() const
ConfidenceConnectedImageFilter Self
ConfidenceConnectedImageFilter()
Self & SetInitialNeighborhoodRadius(unsigned int InitialNeighborhoodRadius)
uint8_t GetReplaceValue() const
Self & SetReplaceValue(uint8_t ReplaceValue)
virtual ~ConfidenceConnectedImageFilter()
Image(Self::*)(const Image &image1) MemberFunctionType
Self & SetMultiplier(double Multiplier)
Self & SetSeedList(std::vector< std::vector< unsigned int > > SeedList)
Set list of image indexes for seeds.
std::vector< std::vector< unsigned int > > GetSeedList() const
Get list of seeds.
Self & ClearSeeds()
Remove all SeedList points.
unsigned int GetInitialNeighborhoodRadius() const
Image ExecuteInternal(const Image &image1)
Image Execute(const Image &image1)
unsigned int m_InitialNeighborhoodRadius
unsigned int m_NumberOfIterations
double GetMultiplier() const
unsigned int GetNumberOfIterations() const
std::vector< std::vector< unsigned int > > m_SeedList
BasicPixelIDTypeList PixelIDTypeList
Self & SetNumberOfIterations(unsigned int NumberOfIterations)
std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
Self & AddSeed(std::vector< unsigned int > point)
Add SeedList point.
std::string GetName() const
The Image class for SimpleITK.
Image ConfidenceConnected(const Image &image1, std::vector< std::vector< unsigned int > > seedList=std::vector< std::vector< unsigned int > >(), unsigned int numberOfIterations=4u, double multiplier=4.5, unsigned int initialNeighborhoodRadius=1u, uint8_t replaceValue=1u)
Segment pixels with similar statistics using connectivity.
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