#include <itkObjectMorphologyImageFilter.h>

Inheritance diagram for itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >:

Collaboration diagram for itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef ConstantBoundaryCondition < InputImageType >	DefaultBoundaryConditionType
typedef ImageBoundaryCondition < InputImageType > const *	ImageBoundaryConditionConstPointerType
typedef ImageBoundaryCondition < InputImageType > *	ImageBoundaryConditionPointerType
typedef TInputImage::IndexType	IndexType
typedef TInputImage	InputImageType
typedef ConstNeighborhoodIterator < TInputImage >	InputNeighborhoodIteratorType
typedef KernelType::ConstIterator	KernelIteratorType
typedef TKernel	KernelType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef NeighborhoodIterator < TOutputImage >	OutputNeighborhoodIteratorType
typedef TInputImage::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef KernelType::SizeType	RadiusType
typedef TInputImage::RegionType	RegionType
typedef ObjectMorphologyImageFilter	Self
typedef TInputImage::SizeType	SizeType
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
void	GenerateInputRequestedRegion ()
virtual ImageBoundaryConditionPointerType	GetBoundaryCondition () const
virtual const KernelType &	GetKernel ()
virtual const char *	GetNameOfClass () const
virtual PixelType	GetObjectValue () const
virtual bool	GetUseBoundaryCondition () const
void	OverrideBoundaryCondition (const ImageBoundaryConditionPointerType i)
void	ResetBoundaryCondition ()
virtual void	SetKernel (KernelType _arg)
virtual void	SetObjectValue (PixelType _arg)
virtual void	SetUseBoundaryCondition (bool _arg)
	typedef (Concept::SameDimension< ImageDimension, OutputImageDimension >) SameDimensionCheck1
	typedef (Concept::SameDimension< ImageDimension, KernelDimension >) SameDimensionCheck2
	typedef (Concept::EqualityComparable< typename TOutputImage::PixelType, PixelType >) OutputInputEqualityComparableCheck
	typedef (Concept::Convertible< PixelType, typename TOutputImage::PixelType >) InputConvertibleToOutputCheck
	typedef (Concept::Convertible< int, typename TOutputImage::PixelType >) IntConvertibleToOutputCheck
	typedef (Concept::EqualityComparable< PixelType >) InputEqualityComparable
	typedef (Concept::OStreamWritable< PixelType >) InputOStreamWritableCheck
Static Public Attributes

static const unsigned int	ImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
static const unsigned int	KernelDimension = TKernel::NeighborhoodDimension
Protected Member Functions
void	BeforeThreadedGenerateData ()
virtual void	Evaluate (OutputNeighborhoodIteratorType &nit, const KernelType &kernel)=0
bool	IsObjectPixelOnBoundary (const InputNeighborhoodIteratorType &nit)
void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)

	ObjectMorphologyImageFilter ()
	~ObjectMorphologyImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Protected Attributes
ImageBoundaryConditionPointerType	m_BoundaryCondition
DefaultBoundaryConditionType	m_DefaultBoundaryCondition
KernelType	m_Kernel
PixelType	m_ObjectValue
bool	m_UseBoundaryCondition
Private Member Functions
	ObjectMorphologyImageFilter (const Self &)
void	operator= (const Self &)

Detailed Description

template<class TInputImage, class TOutputImage, class TKernel>
class itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >

Base class for the morphological operations being applied to isolated objects in an image.

This class provides the infrastructure to support of morphological operations being applied to images in which the foreground and background intensities are fixed. This filter operates significantly faster than itkBinaryMorhologicalImageFilters; however itkBinaryMorhologicalImageFilters preserve background pixels based on values of neighboring background pixels - potentially important during erosion.

The "kernel" specified represents a morphology structuring element. The structuring element is a small Neighborhood with values indicating an element is "on" (value > 0) or "off" (value <=0). Morphological operations are defined by placing the structuring element over a pixel, and calculating a nonlinear function (min, max) over the pixels of the image that are under pixels in the structuring element that are "on". The result of this calculation is the value of the pixel in the output image. Under most circumstances, the "center pixel" of the structuring element -- or structuring element pixel over the input pixel under consideration -- is prescribed to be "on". This is not a strict requirement but the subclasses of this filter are not guarenteed to produce the correct result if the "center pixel" is not part of the structuring element.

Subclasses of this class can define their own operations by simply providing their own Evaluate() protected member functions - one that operates using a smart neighborhood operator for edge faces and one that operates using a standard neighboorhood operator..

See also:: ErodeObjectMorphologicalImageFilter; DilateObjectMorphologicalImageFilter; BinaryErodeImageFilter; BinaryDilateImageFilter; GrayScaleErodeImageFilter; GrayScaleDilateImageFilter; NeighborhoodIterator; Neighborhood

Definition at line 73 of file itkObjectMorphologyImageFilter.h.