ITK  4.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Private Member Functions | Private Attributes
itk::BinomialBlurImageFilter< TInputImage, TOutputImage > Class Template Reference
Image Enhancement Filters | Module ITKSmoothing

Performs a separable blur on each dimension of an image. More...

#include <itkBinomialBlurImageFilter.h>

Inheritance diagram for itk::BinomialBlurImageFilter< TInputImage, TOutputImage >:
Collaboration diagram for itk::BinomialBlurImageFilter< TInputImage, TOutputImage >:

List of all members.

Public Types

typedef SmartPointer< const Self > ConstPointer
typedef TOutputImage::IndexType IndexType
typedef
InputImageType::ConstPointer 		InputImageConstPointer
typedef InputImageType::Pointer InputImagePointer
typedef TInputImage InputImageType
typedef OutputImageType::Pointer OutputImagePointer
typedef TOutputImage::RegionType OutputImageRegionType
typedef TOutputImage OutputImageType
typedef TOutputImage::PixelType PixelType
typedef SmartPointer< Self > Pointer
typedef BinomialBlurImageFilter Self
typedef Size
< itkGetStaticConstMacro(NDimensions) > 		SizeType
typedef ImageToImageFilter
< TInputImage, TOutputImage > 		Superclass

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
void GenerateInputRequestedRegion ()
virtual const char * GetNameOfClass () const
 typedef (Concept::SameDimension< itkGetStaticConstMacro(NDimensions), itkGetStaticConstMacro(NOutputDimensions) >) SameDimensionCheck
 typedef (Concept::Convertible< double, PixelType >) DoubleConvertibleToOutputCheck
 typedef (Concept::Convertible< typename TInputImage::PixelType, double >) InputConvertibleToDoubleCheck
virtual void SetRepetitions (unsigned int _arg)
virtual unsigned int GetRepetitions () const

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int NDimensions = TInputImage::ImageDimension
static const unsigned int NOutputDimensions = TOutputImage::ImageDimension

Protected Member Functions

void GenerateData ()
 BinomialBlurImageFilter ()
virtual ~BinomialBlurImageFilter ()
void PrintSelf (std::ostream &os, Indent indent) const

Private Member Functions

 BinomialBlurImageFilter (const Self &)
void operator= (const Self &)

Private Attributes

unsigned int m_Repetitions

Detailed Description

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

Performs a separable blur on each dimension of an image.

The binomial blur consists of a nearest neighbor average along each image dimension. The net result after n-iterations approaches convultion with a gaussian.

Wiki Examples:

Definition at line 43 of file itkBinomialBlurImageFilter.h.

Member Typedef Documentation

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 51 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::IndexType itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::IndexType

Image index typedef

Definition at line 75 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef InputImageType::ConstPointer itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::InputImageConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 69 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef InputImageType::Pointer itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::InputImagePointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 68 of file itkBinomialBlurImageFilter.h.

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

Typedef for images

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 65 of file itkBinomialBlurImageFilter.h.

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

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 67 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::RegionType itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::OutputImageRegionType

Typedef to describe the output image region type.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 81 of file itkBinomialBlurImageFilter.h.

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

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 66 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::PixelType itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::PixelType

Image pixel value typedef

Definition at line 78 of file itkBinomialBlurImageFilter.h.

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 50 of file itkBinomialBlurImageFilter.h.

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

Standard class typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 48 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef Size< itkGetStaticConstMacro(NDimensions) > itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::SizeType

Image size typedef

Definition at line 72 of file itkBinomialBlurImageFilter.h.

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 49 of file itkBinomialBlurImageFilter.h.

Constructor & Destructor Documentation

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

End concept checking

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

End concept checking

Definition at line 108 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::BinomialBlurImageFilter ( const Self &  ) [private]

Member Function Documentation

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

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

Method for evaluating the implicit function over the image.

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage >
void itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( ) [virtual]

This filter needs to request a larger input than its requested output. If this filter runs "Repetitions" iterations, then it needs an input that is 2*Repetitions larger than the output. In other words, this filter needs a border of "Repetitions" pixels.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

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

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual unsigned int itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::GetRepetitions ( ) const [virtual]

Get and set the number of times to repeat the filter.

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

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >
void itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::operator= ( const Self &  ) [private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

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

End concept checking

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >
virtual void itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::SetRepetitions ( unsigned int  _arg) [virtual]

Get and set the number of times to repeat the filter.

template<class TInputImage , class TOutputImage >
itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::typedef ( Concept::Convertible< typename TInputImage::PixelType, double >  )

This class requires InputConvertibleToDoubleCheck in the form of ( Concept::Convertible< typename TInputImage::PixelType, double > )

template<class TInputImage , class TOutputImage >
itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::typedef ( Concept::SameDimension< itkGetStaticConstMacro(NDimensions), itkGetStaticConstMacro(NOutputDimensions) >  )

Begin concept checking This class requires SameDimensionCheck in the form of ( Concept::SameDimension< itkGetStaticConstMacro(NDimensions), itkGetStaticConstMacro(NOutputDimensions) > )

template<class TInputImage , class TOutputImage >
itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::typedef ( Concept::Convertible< double, PixelType >  )

This class requires DoubleConvertibleToOutputCheck in the form of ( Concept::Convertible< double, PixelType > )

Member Data Documentation

template<class TInputImage , class TOutputImage >
unsigned int itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::m_Repetitions [private]

How many times should we apply the blur?

Definition at line 120 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
const unsigned int itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::NDimensions = TInputImage::ImageDimension [static]

Number of dimensions

Definition at line 60 of file itkBinomialBlurImageFilter.h.

template<class TInputImage , class TOutputImage >
const unsigned int itk::BinomialBlurImageFilter< TInputImage, TOutputImage >::NOutputDimensions = TOutputImage::ImageDimension [static]

Number of dimensions

Definition at line 61 of file itkBinomialBlurImageFilter.h.

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