#include <itkDirectedHausdorffDistanceImageFilter.h>

Inheritance diagram for itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >:

Collaboration diagram for itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage1::IndexType	IndexType
typedef TInputImage1::ConstPointer	InputImage1ConstPointer
typedef TInputImage1::PixelType	InputImage1PixelType
typedef TInputImage1::Pointer	InputImage1Pointer
typedef TInputImage1	InputImage1Type
typedef TInputImage2::ConstPointer	InputImage2ConstPointer
typedef TInputImage2::PixelType	InputImage2PixelType
typedef TInputImage2::Pointer	InputImage2Pointer
typedef TInputImage2	InputImage2Type
typedef SmartPointer< Self >	Pointer
typedef NumericTraits < InputImage1PixelType > ::RealType	RealType
typedef TInputImage1::RegionType	RegionType
typedef DirectedHausdorffDistanceImageFilter	Self
typedef TInputImage1::SizeType	SizeType
typedef ImageToImageFilter < TInputImage1, TInputImage1 >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
const InputImage1Type *	GetInput1 (void)
const InputImage2Type *	GetInput2 (void)
virtual const char *	GetNameOfClass () const
void	SetInput1 (const InputImage1Type *image)
void	SetInput2 (const InputImage2Type *image)
virtual void	SetUseImageSpacing (bool _arg)
	typedef (Concept::HasNumericTraits< InputImage1PixelType >) InputHasNumericTraitsCheck

virtual RealType	GetDirectedHausdorffDistance () const
virtual RealType	GetAverageHausdorffDistance () const
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage1::ImageDimension
Protected Member Functions
void	AfterThreadedGenerateData ()
void	AllocateOutputs ()
void	BeforeThreadedGenerateData ()
void	EnlargeOutputRequestedRegion (DataObject *data)
void	GenerateInputRequestedRegion ()
void	ThreadedGenerateData (const RegionType &outputRegionForThread, ThreadIdType threadId)

	DirectedHausdorffDistanceImageFilter ()
	~DirectedHausdorffDistanceImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Private Types
typedef DistanceMapType::Pointer	DistanceMapPointer
typedef Image< RealType, itkGetStaticConstMacro(ImageDimension) >	DistanceMapType
Private Member Functions
	DirectedHausdorffDistanceImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
RealType	m_AverageHausdorffDistance
RealType	m_DirectedHausdorffDistance
DistanceMapPointer	m_DistanceMap
Array< RealType >	m_MaxDistance
Array< IdentifierType >	m_PixelCount
Array< RealType >	m_Sum
bool	m_UseImageSpacing

Detailed Description

template<class TInputImage1, class TInputImage2>
class itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >

Computes the directed Hausdorff distance between the set of non-zero pixels of two images.

DirectedHausdorffDistanceImageFilter computes the distance between the set non-zero pixels of two images using the following formula:

$h(A,B) = \max_{a \in A} \min_{b \in B} \| a - b\|$

where $A$ and $B$ are respectively the set of non-zero pixels in the first and second input images. It identifies the point $a \in A$ that is farthest from any point of $B$ and measures the distance from $a$ to the nearest neighbor in $B$ . Note that this function is not is not symmetric and hence is not a true distance.

In particular, this filter uses the DanielssonDistanceMapImageFilter inside to compute distance map from all non-zero pixels in the second image. It then find the largest distance (in pixels) within the set of all non-zero pixels in the first image.

Use HausdorffDistanceImageFilter to compute the full Hausdorff distance.

This filter requires the largest possible region of the first image and the same corresponding region in the second image. It behaves as filter with two input and one output. Thus it can be inserted in a pipeline with other filters. The filter passes the first input through unmodified.

This filter is templated over the two input image type. It assume both image have the same number of dimensions.

See also:: DanielssonDistanceMapImageFilter; HausdorffDistanceImageFilter

Definition at line 63 of file itkDirectedHausdorffDistanceImageFilter.h.