ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Private Member Functions | Private Attributes
itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkDiscreteGaussianImageFilter.h>

+ Inheritance diagram for itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >:
+ Collaboration diagram for itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >:

List of all members.

Public Types

typedef FixedArray< double,
itkGetStaticConstMacro(ImageDimension) > 
ArrayType
typedef SmartPointer< const SelfConstPointer
typedef TInputImage InputImageType
typedef
TInputImage::InternalPixelType 
InputInternalPixelType
typedef TInputImage::PixelType InputPixelType
typedef NumericTraits
< InputPixelType >::ValueType 
InputPixelValueType
typedef TOutputImage OutputImageType
typedef
TOutputImage::InternalPixelType 
OutputInternalPixelType
typedef TOutputImage::PixelType OutputPixelType
typedef NumericTraits
< OutputPixelType >::ValueType 
OutputPixelValueType
typedef SmartPointer< SelfPointer
typedef DiscreteGaussianImageFilter Self
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual void GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
virtual const unsigned int & GetInternalNumberOfStreamDivisions ()
virtual const char * GetNameOfClass () const
virtual void SetInternalNumberOfStreamDivisions (unsigned int _arg)
void SetMaximumError (const typename ArrayType::ValueType v)
void SetMaximumError (const double *v)
void SetMaximumError (const float *v)
void SetUseImageSpacingOff ()
void SetUseImageSpacingOn ()
void SetVariance (const double *v)
void SetVariance (const float *v)
 typedef (Concept::HasNumericTraits< OutputPixelValueType >) OutputHasNumericTraitsCheck
virtual void SetVariance (ArrayType _arg)
virtual const ArrayType GetVariance () const
virtual void SetMaximumError (ArrayType _arg)
virtual const ArrayType GetMaximumError () const
virtual int GetMaximumKernelWidth () const
virtual void SetMaximumKernelWidth (int _arg)
virtual unsigned int GetFilterDimensionality () const
virtual void SetFilterDimensionality (unsigned int _arg)
void SetVariance (const typename ArrayType::ValueType v)
virtual void SetUseImageSpacing (bool _arg)
virtual bool GetUseImageSpacing () const

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = TOutputImage::ImageDimension

Protected Member Functions

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

Private Member Functions

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

Private Attributes

unsigned int m_FilterDimensionality
unsigned int m_InternalNumberOfStreamDivisions
ArrayType m_MaximumError
int m_MaximumKernelWidth
bool m_UseImageSpacing
ArrayType m_Variance

Detailed Description

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

Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel).

The Gaussian operator used here was described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.) The Gaussian kernel used here was designed so that smoothing and derivative operations commute after discretization.

The variance or standard deviation (sigma) will be evaluated as pixel units if SetUseImageSpacing is off (false) or as physical units if SetUseImageSpacing is on (true, default). The variance can be set independently in each dimension.

When the Gaussian kernel is small, this filter tends to run faster than itk::RecursiveGaussianImageFilter.

See also:
GaussianOperator
Image
Neighborhood
NeighborhoodOperator
RecursiveGaussianImageFilter
Wiki Examples:
Examples:
itkOrthogonalSwath2DPathFilterTest.cxx.

Definition at line 62 of file itkDiscreteGaussianImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TOutputImage >
typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::ArrayType

Typedef of double containers

Definition at line 99 of file itkDiscreteGaussianImageFilter.h.

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

Image type information.

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

Definition at line 76 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TInputImage::InternalPixelType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputInternalPixelType

Definition at line 87 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TInputImage::PixelType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputPixelType

Definition at line 86 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef NumericTraits<InputPixelType>::ValueType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::InputPixelValueType

Pixel value type for Vector pixel types

Definition at line 90 of file itkDiscreteGaussianImageFilter.h.

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

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 80 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::InternalPixelType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::OutputInternalPixelType

Definition at line 85 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef TOutputImage::PixelType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelType

Extract some information from the image types. Dimensionality of the two images is assumed to be the same.

Definition at line 84 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
typedef NumericTraits<OutputPixelType>::ValueType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::OutputPixelValueType

Definition at line 91 of file itkDiscreteGaussianImageFilter.h.

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

Standard class typedefs.

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

Definition at line 67 of file itkDiscreteGaussianImageFilter.h.

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

Constructor & Destructor Documentation

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

End concept checking

Definition at line 239 of file itkDiscreteGaussianImageFilter.h.

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

Definition at line 250 of file itkDiscreteGaussianImageFilter.h.

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

Member Function Documentation

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer itk::DiscreteGaussianImageFilter< 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::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GenerateData ( ) [protected, virtual]

Standard pipeline method. While this class does not implement a ThreadedGenerateData(), its GenerateData() delegates all calculations to an NeighborhoodOperatorImageFilter. Since the NeighborhoodOperatorImageFilter is multithreaded, this filter is multithreaded by default.

Reimplemented from itk::ImageSource< TOutputImage >.

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

DiscreteGaussianImageFilter needs a larger input requested region than the output requested region (larger by the size of the Gaussian kernel). As such, DiscreteGaussianImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

See also:
ImageToImageFilter::GenerateInputRequestedRegion()

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

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

Set the number of dimensions to smooth. Defaults to the image dimension. Can be set to less than ImageDimension, smoothing all the dimensions less than FilterDimensionality. For instance, to smooth the slices of a volume without smoothing in Z, set the FilterDimensionality to 2.

template<class TInputImage , class TOutputImage >
virtual const unsigned int& itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetInternalNumberOfStreamDivisions ( ) [virtual]
template<class TInputImage , class TOutputImage >
virtual const ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetMaximumError ( ) const [virtual]

The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.

template<class TInputImage , class TOutputImage >
virtual int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetMaximumKernelWidth ( ) const [virtual]

Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.

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

Run-time type information (and related methods).

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

template<class TInputImage , class TOutputImage >
virtual bool itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetUseImageSpacing ( ) const [virtual]

Set/Get whether or not the filter will use the spacing of the input image in its calculations

template<class TInputImage , class TOutputImage >
virtual const ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::GetVariance ( ) const [virtual]

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

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

Method for creation through the object factory.

Reimplemented from itk::Object.

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

Set the number of dimensions to smooth. Defaults to the image dimension. Can be set to less than ImageDimension, smoothing all the dimensions less than FilterDimensionality. For instance, to smooth the slices of a volume without smoothing in Z, set the FilterDimensionality to 2.

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

Set/Get number of pieces to divide the input for the internal composite pipeline. The upstream pipeline will not be effected.

The default value is $ImageDimension^2$.

This parameter was introduced to reduce the memory used by images internally, at the cost of performance.

template<class TInputImage , class TOutputImage >
virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( ArrayType  _arg) [virtual]

The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const typename ArrayType::ValueType  v) [inline]

Definition at line 142 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const double *  v) [inline]

Definition at line 170 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumError ( const float *  v) [inline]

Definition at line 181 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetMaximumKernelWidth ( int  _arg) [virtual]

Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.

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

Set/Get whether or not the filter will use the spacing of the input image in its calculations

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacingOff ( ) [inline]

Ignore the image spacing. Use this option if you want to specify Gaussian variance in pixels. Default is ImageSpacingOn.

Definition at line 200 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetUseImageSpacingOn ( ) [inline]

Use the image spacing information in calculations. Use this option if you want to specify Gaussian variance in real world units. Default is ImageSpacingOn.

Definition at line 195 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
virtual void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( ArrayType  _arg) [virtual]

The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const typename ArrayType::ValueType  v) [inline]

Convenience Set methods for setting all dimensional parameters to the same values.

Definition at line 135 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const double *  v) [inline]

Definition at line 148 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
void itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::SetVariance ( const float *  v) [inline]

Definition at line 159 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::typedef ( Concept::HasNumericTraits< OutputPixelValueType )

Begin concept checking This class requires OutputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< OutputPixelValueType > )


Member Data Documentation

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

Extract some information from the image types. Dimensionality of the two images is assumed to be the same.

Definition at line 96 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_FilterDimensionality [private]

Number of dimensions to process. Default is all dimensions

Definition at line 278 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
unsigned int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_InternalNumberOfStreamDivisions [private]

Number of pieces to divide the input on the internal composite pipeline. The upstream pipeline will not be effected.

Definition at line 285 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_MaximumError [private]

The maximum error of the gaussian blurring kernel in each dimensional direction. For definition of maximum error, see GaussianOperator.

See also:
GaussianOperator

Definition at line 271 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
int itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_MaximumKernelWidth [private]

Maximum allowed kernel width for any dimension of the discrete Gaussian approximation

Definition at line 275 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
bool itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_UseImageSpacing [private]

Flag to indicate whether to use image spacing

Definition at line 281 of file itkDiscreteGaussianImageFilter.h.

template<class TInputImage , class TOutputImage >
ArrayType itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >::m_Variance [private]

The variance of the gaussian blurring kernel in each dimensional direction.

Definition at line 266 of file itkDiscreteGaussianImageFilter.h.


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