itk::NormalizeImageFilter< TInputImage, TOutputImage > Class Template Reference

Normalize an image by setting its mean to zero and variance to one. More...

#include <itkNormalizeImageFilter.h>

Inheritance diagram for itk::NormalizeImageFilter< TInputImage, TOutputImage >:

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

[legend]List of all members.

Public Types
typedef NormalizeImageFilter	Self
typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TInputImage::Pointer	InputImagePointer
typedef TOutputImage::Pointer	OutputImagePointer
Public Member Functions
virtual const char *	GetClassName () const
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	NormalizeImageFilter ()
void	GenerateData ()
void	GenerateInputRequestedRegion ()

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Detailed Description

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

Normalize an image by setting its mean to zero and variance to one.

NormalizeImageFilter shifts and scales an image so that the pixels in the image have a zero mean and unit variance. This filter uses StatisticsImageFilter to compute the mean and variance of the input and then applies ShiftScaleImageFilter to shift and scale the pixels.

NB: since this filter normalizes the data to lie within -1 to 1, integral types will produce an image that DOES NOT HAVE a unit variance.

Definition at line 41 of file itkNormalizeImageFilter.h.

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Member Typedef Documentation

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 49 of file itkNormalizeImageFilter.h.

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

Image related typedefs. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 58 of file itkNormalizeImageFilter.h.

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

Reimplemented from itk::ImageSource< TOutputImage >. Definition at line 59 of file itkNormalizeImageFilter.h.

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 48 of file itkNormalizeImageFilter.h.

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

Standard Self typedef Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 46 of file itkNormalizeImageFilter.h.

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

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >. Definition at line 47 of file itkNormalizeImageFilter.h.

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Constructor & Destructor Documentation

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

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Member Function Documentation

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

GenerateData. Reimplemented from itk::ImageSource< TOutputImage >.

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

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input. This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types. See also: ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion() Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

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

Runtime information support. Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

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

Method for creation through the object factory. Reimplemented from itk::Object.

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

• itkNormalizeImageFilter.h

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