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

#include <itkNormalizeImageFilterWithMask.h>

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

Public Types
typedef NormalizeImageFilterWithMask	Self

typedef ImageToImageFilter< TInputImage, TOutputImage >	Superclass

typedef SmartPointer< Self >	Pointer

typedef SmartPointer< const Self >	ConstPointer

typedef TInputImage::Pointer	InputImagePointer

typedef TOutputImage::Pointer	OutputImagePointer

typedef SpatialObject< TInputImage::ImageDimension >	ImageMaskType

typedef ImageMaskType::Pointer	ImageMaskPointer

Public Member Functions
	itkNewMacro (Self)

	itkTypeMacro (NormalizeImageFilterWithMask, ImageToImageFilter)

	itkSetObjectMacro (ImageMask, ImageMaskType)

	itkGetConstObjectMacro (ImageMask, ImageMaskType)

Protected Member Functions
void	GenerateData ()

void	GenerateInputRequestedRegion ()

Detailed Description

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

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

NormalizeImageFilterWithMask shifts and scales an image so that the pixels in the image have a zero mean and unit variance. This filter uses StatisticsImageFilterWithMask 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.