Morphological opening by attributes. More...

#include <itkAreaOpeningImageFilter.h>

Inheritance diagram for itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >:

Collaboration diagram for itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >:

Public Types
typedef TAttribute	AttributeType
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage::IndexType	IndexType
typedef TInputImage::InternalPixelType	InputInternalPixelType
typedef TInputImage::PixelType	InputPixelType
typedef TInputImage::OffsetType	OffsetType
typedef TOutputImage::InternalPixelType	OutputInternalPixelType
typedef TOutputImage::PixelType	OutputPixelType
typedef SmartPointer< Self >	Pointer
typedef AreaOpeningImageFilter	Self
typedef TInputImage::SizeType	SizeType
typedef AttributeMorphologyBaseImageFilter < TInputImage, TOutputImage, TAttribute, std::greater < typename TInputImage::PixelType > >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TOutputImage::ImageDimension
Protected Member Functions
void	GenerateData ()
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~AreaOpeningImageFilter ()
Private Member Functions
	AreaOpeningImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
bool	m_UseImageSpacing
virtual void	SetUseImageSpacing (bool _arg)
virtual const bool &	GetUseImageSpacing ()
virtual void	UseImageSpacingOn ()
virtual void	UseImageSpacingOff ()
	AreaOpeningImageFilter ()

Detailed Description

template<class TInputImage, class TOutputImage, class TAttribute = typename TInputImage::SpacingType::ValueType>
class itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >

Morphological opening by attributes.

This is the base class for morphology attribute operations. Attribute openings remove blobs according to criteria such as area. When applied to grayscale images it has the effect of trimming peaks based on area while leaving the rest of the image unchanged. It is possible to use attributes besides area, but no others are implemented yet. This filter uses some dodgy coding practices - most notably copying the image data to a linear buffer to allow direct implementation of the published algorithm. It should therefore be quite a good candidate to carry out tests of itk iterator performance with randomish access patterns.

This filter is implemented using the method of Wilkinson, "A comparison of algorithms for Connected set openings and Closings", A. Meijster and M. H. Wilkinson, PAMI, vol 24, no. 4, April 2002. Attempts at implementing the method from ISMM 2000 are also included, but operation appears incorrect. Check the ifdefs if you are interested.

This code was contributed in the Insight Journal paper

"Grayscale morphological attribute operations" by Beare R. http://hdl.handle.net/1926/1316 http://www.insight-journal.org/browse/publication/203

Author:: Richard Beare. Department of Medicine, Monash University, Melbourne, Australia.

Definition at line 60 of file itkAreaOpeningImageFilter.h.