Classifies the intensity values of a scalar image using the K-Means algorithm. More...

#include <itkScalarImageKmeansImageFilter.h>

Inheritance diagram for itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >:

Public Types
typedef itk::Statistics::ImageToListSampleAdaptor < InputImageType >	AdaptorType
typedef itk::Statistics::SampleClassifierFilter < AdaptorType >	ClassifierType
typedef ClassifierType::ClassLabelVectorType	ClassLabelVectorType
typedef SmartPointer< const Self >	ConstPointer
typedef itk::Statistics::MinimumDecisionRule	DecisionRuleType
typedef itk::Statistics::KdTreeBasedKmeansEstimator < TreeType >	EstimatorType
typedef InputImageType::RegionType	ImageRegionType
typedef TInputImage	InputImageType
typedef InputImageType::PixelType	InputPixelType
typedef AdaptorType::MeasurementVectorType	MeasurementVectorType
typedef MembershipFunctionType::CentroidType	MembershipFunctionOriginType
typedef MembershipFunctionType::Pointer	MembershipFunctionPointer
typedef itk::Statistics::DistanceToCentroidMembershipFunction < MeasurementVectorType >	MembershipFunctionType
typedef ClassifierType::MembershipFunctionVectorType	MembershipFunctionVectorType
typedef TOutputImage	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef EstimatorType::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef NumericTraits < InputPixelType >::RealType	RealPixelType
typedef RegionOfInterestImageFilter < InputImageType, InputImageType >	RegionOfInterestFilterType
typedef ScalarImageKmeansImageFilter	Self
typedef ImageToImageFilter < InputImageType, OutputImageType >	Superclass
typedef itk::Statistics::WeightedCentroidKdTreeGenerator < AdaptorType >	TreeGeneratorType
typedef TreeGeneratorType::KdTreeType	TreeType
Public Member Functions
void	AddClassWithInitialMean (RealPixelType mean)
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const ParametersType &	GetFinalMeans ()
virtual const ImageRegionType &	GetImageRegion ()
virtual const char *	GetNameOfClass () const
void	SetImageRegion (const ImageRegionType &region)
	typedef (Concept::HasNumericTraits< InputPixelType >) InputHasNumericTraitsCheck

virtual void	SetUseNonContiguousLabels (bool _arg)
virtual const bool &	GetUseNonContiguousLabels ()
virtual void	UseNonContiguousLabelsOn ()
virtual void	UseNonContiguousLabelsOff ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
void	GenerateData ()

	ScalarImageKmeansImageFilter ()
virtual	~ScalarImageKmeansImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Types
typedef std::vector < RealPixelType >	MeansContainer
Private Member Functions
void	operator= (const Self &)
	ScalarImageKmeansImageFilter (const Self &)
Private Attributes
ParametersType	m_FinalMeans
ImageRegionType	m_ImageRegion
bool	m_ImageRegionDefined
MeansContainer	m_InitialMeans
bool	m_UseNonContiguousLabels

Detailed Description

template<class TInputImage, class TOutputImage = Image< unsigned char, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
class itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >

Classifies the intensity values of a scalar image using the K-Means algorithm.

Given an input image with scalar values, it uses the K-Means statistical classifier in order to define labels for every pixel in the image. The filter is templated over the type of the input image. The output image is predefined as having the same dimension of the input image and pixel type unsigned char, under the assumption that the classifier will generate less than 256 classes.

You may want to look also at the RelabelImageFilter that may be used as a postprocessing stage, in particular if you are interested in ordering the labels by their relative size in number of pixels.

See also:: Image; ImageKmeansModelEstimator; KdTreeBasedKmeansEstimator, WeightedCentroidKdTreeGenerator, KdTree; RelabelImageFilter

Wiki Examples:

All Examples

Cluster the pixels in a greyscale image

Definition at line 64 of file itkScalarImageKmeansImageFilter.h.