itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage > Class Template Reference
[Image Feature Extraction Filters]

#include <itkDanielssonDistanceMapImageFilter.h>

Inheritance diagram for itk::DanielssonDistanceMapImageFilter:

[legend]Collaboration diagram for itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >:

[legend]List of all members.

Public Types
typedef DanielssonDistanceMapImageFilter	Self
typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage	InputImageType
typedef TOutputImage	OutputImageType
typedef InputImageType::RegionType	RegionType
typedef RegionType::IndexType	IndexType
typedef InputImageType::OffsetType	OffsetType
typedef RegionType::SizeType	SizeType
typedef Image< OffsetType, itkGetStaticConstMacro(InputImageDimension)	VectorImageType )
typedef InputImageType::ConstPointer	InputImagePointer
typedef OutputImageType::Pointer	OutputImagePointer
typedef VectorImageType::Pointer	VectorImagePointer
Public Methods
virtual const char *	GetClassName () const
	itkStaticConstMacro (InputImageDimension, unsigned int, InputImageType::ImageDimension)
virtual void	SetSquaredDistance (bool _arg)
	itkGetConstReferenceMacro (SquaredDistance, bool)
virtual void	SquaredDistanceOn ()
virtual void	SquaredDistanceOff ()
virtual void	SetInputIsBinary (bool _arg)
	itkGetConstReferenceMacro (InputIsBinary, bool)
virtual void	InputIsBinaryOn ()
virtual void	InputIsBinaryOff ()
OutputImageType *	GetVoronoiMap (void)
OutputImageType *	GetDistanceMap (void)
VectorImageType *	GetVectorDistanceMap (void)
Static Public Methods
Pointer	New ()
Protected Methods
	DanielssonDistanceMapImageFilter ()
virtual	~DanielssonDistanceMapImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
void	GenerateData ()
void	PrepareData ()
void	ComputeVoronoiMap ()
void	UpdateLocalDistance (VectorImageType *, const IndexType &, const OffsetType &)

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Detailed Description

template<class TInputImage, class TOutputImage>
class itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >

This class is parametrized over the type of the input image and the type of the output image.

This Filter computes the distance map of the input image as an approximation with pixel accuracy to the Euclidean distance.

The input is assumed to contain numeric codes defining objects. The filter will produce as output the following images:

• A voronoi partition using the same numeric codes as the input.
• A distance map with the approximation to the euclidean distance. from a particular pixel to the nearest object to this pixel in the input image.
• A vector map containing the component of the vector relating the current pixel with the closest point of the closest object to this pixel. Given that the components of the distance are computed in "pixels", the vector is represented by an itk::Offset

This filter is N-Dimensional and it is know to be efficient in computational time.

Todo:

Add the reference to the journal paper where this method was published

Definition at line 56 of file itkDanielssonDistanceMapImageFilter.h.

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Member Typedef Documentation

template<class TInputImage, class TOutputImage> typedef SmartPointer<const Self> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 64 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef RegionType::IndexType itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::IndexType

Type for the index of the input image. Definition at line 82 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef InputImageType::ConstPointer itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::InputImagePointer

Pointer Type for input image. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 98 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef TInputImage itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::InputImageType

Type for input image. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 73 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef InputImageType::OffsetType itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::OffsetType

Type for the index of the input image. Definition at line 85 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef OutputImageType::Pointer itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Pointer Type for the output image. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 101 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef TOutputImage itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::OutputImageType

Type for the output image. Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 76 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef SmartPointer<Self> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 63 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef InputImageType::RegionType itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::RegionType

Type for the region of the input image. Definition at line 79 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef DanielssonDistanceMapImageFilter itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 61 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef RegionType::SizeType itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::SizeType

Type for the size of the input image. Definition at line 88 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef ImageToImageFilter<TInputImage,TOutputImage> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 62 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef VectorImageType::Pointer itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::VectorImagePointer

Pointer Type for the vector distance image. Definition at line 104 of file itkDanielssonDistanceMapImageFilter.h.

template<class TInputImage, class TOutputImage> typedef Image< OffsetType, itkGetStaticConstMacro(InputImageDimension) itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::VectorImageType)

Pointer Type for the vector distance image Definition at line 95 of file itkDanielssonDistanceMapImageFilter.h.

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Constructor & Destructor Documentation

template<class TInputImage, class TOutputImage> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::DanielssonDistanceMapImageFilter (    )  [protected]

template<class TInputImage, class TOutputImage> virtual itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::~DanielssonDistanceMapImageFilter (    )  [inline, protected, virtual]

Definition at line 146 of file itkDanielssonDistanceMapImageFilter.h.

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Member Function Documentation

template<class TInputImage, class TOutputImage> void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::ComputeVoronoiMap (    )  [protected]

Compute Voronoi Map.

template<class TInputImage, class TOutputImage> void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::GenerateData (    )  [protected, virtual]

Compute Danielsson distance map and Voronoi Map. Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage, class TOutputImage> virtual const char* itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::GetClassName (    )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage> OutputImageType* itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::GetDistanceMap (  void    )

Get Distance map image. The distance map is shown as a gray value image depending on the pixel type of the output image. Regarding the source image, background should be dark (gray value = 0) and object should have a gray value larger than 0. The minimal distance is calculated on the object frontier, and the output image gives for each pixel its minimal distance from the object (if there is more than one object the closest object is considered).

template<class TInputImage, class TOutputImage> VectorImageType* itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::GetVectorDistanceMap (  void    )

Get vector field of distances.

template<class TInputImage, class TOutputImage> OutputImageType* itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::GetVoronoiMap (  void    )

Get Voronoi Map This Map shows for each pixel what object is closest to it. Each object should be labeled by a number (larger than 0), so the map has a value for each pixel corresponding to the label of the closest object.

template<class TInputImage, class TOutputImage> virtual void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::InputIsBinaryOff (    )  [virtual]

template<class TInputImage, class TOutputImage> virtual void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::InputIsBinaryOn (    )  [virtual]

Set On/Off if the input is binary.

template<class TInputImage, class TOutputImage> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::itkGetConstReferenceMacro (  InputIsBinary   , bool    )

Get if the input is binary.

template<class TInputImage, class TOutputImage> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::itkGetConstReferenceMacro (  SquaredDistance   , bool    )

Get the distance squared.

template<class TInputImage, class TOutputImage> itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::itkStaticConstMacro (  InputImageDimension   , unsigned    int, InputImageType::ImageDimension    )

The dimension of the input image.

template<class TInputImage, class TOutputImage> Pointer itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::New (    )  [static]

Method for creation through the object factory Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage> void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::PrepareData (    )  [protected]

Prepare data.

template<class TInputImage, class TOutputImage> void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::PrintSelf (  std::ostream &    os, Indent    indent )  const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage, class TOutputImage> virtual void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::SetInputIsBinary (  bool    _arg )  [virtual]

Set if the input is binary.

template<class TInputImage, class TOutputImage> virtual void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::SetSquaredDistance (  bool    _arg )  [virtual]

Set if the distance should be squared.

template<class TInputImage, class TOutputImage> virtual void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::SquaredDistanceOff (    )  [virtual]

template<class TInputImage, class TOutputImage> virtual void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::SquaredDistanceOn (    )  [virtual]

Set On/Off if the distance is squared.

template<class TInputImage, class TOutputImage> void itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >::UpdateLocalDistance (  VectorImageType *   , const IndexType &   , const OffsetType &    )  [protected]

Update distance map locally.

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The documentation for this class was generated from the following file:

• itkDanielssonDistanceMapImageFilter.h

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