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ITK
4.0.0
Insight Segmentation and Registration Toolkit
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ITK
4.0.0
Insight Segmentation and Registration Toolkit
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Generate an n-dimensional image of a Gaussian. More...
#include <itkGaussianImageSource.h>
Inheritance diagram for itk::GaussianImageSource< TOutputImage >: Collaboration diagram for itk::GaussianImageSource< TOutputImage >:Public Types | |
| typedef FixedArray< double, itkGetStaticConstMacro(NDimensions) > | ArrayType |
| typedef SmartPointer< const Self > | ConstPointer |
| typedef TOutputImage::DirectionType | DirectionType |
| typedef TOutputImage::PixelType | OutputImagePixelType |
| typedef TOutputImage::RegionType | OutputImageRegionType |
| typedef Superclass::ParametersType | ParametersType |
| typedef Superclass::ParametersValueType | ParametersValueType |
| typedef SmartPointer< Self > | Pointer |
| typedef TOutputImage::PointType | PointType |
| typedef GaussianImageSource | Self |
| typedef TOutputImage::SizeType | SizeType |
| typedef TOutputImage::SizeValueType | SizeValueType |
| typedef TOutputImage::SpacingType | SpacingType |
| typedef ParametricImageSource < TOutputImage > | Superclass |
Public Member Functions | |
| virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
| virtual const char * | GetNameOfClass () const |
| virtual unsigned int | GetNumberOfParameters () const |
| virtual void | SetScale (double _arg) |
| virtual const double & | GetScale () |
| virtual void | SetNormalized (bool _arg) |
| virtual const bool & | GetNormalized () |
| virtual void | SetSigma (ArrayType _arg) |
| virtual const ArrayType & | GetSigma () |
| virtual void | SetMean (ArrayType _arg) |
| virtual const ArrayType & | GetMean () |
| virtual void | SetParameters (const ParametersType ¶meters) |
| virtual ParametersType | GetParameters () const |
Static Public Member Functions | |
| static Pointer | New () |
Static Public Attributes | |
| static const unsigned int | NDimensions = TOutputImage::ImageDimension |
Protected Member Functions | |
| GaussianImageSource () | |
| void | GenerateData () |
| void | PrintSelf (std::ostream &os, Indent indent) const |
Private Member Functions | |
| GaussianImageSource (const GaussianImageSource &) | |
| void | operator= (const GaussianImageSource &) |
Private Attributes | |
| DirectionType | m_Direction |
| ArrayType | m_Mean |
| bool | m_Normalized |
| PointType | m_Origin |
| double | m_Scale |
| ArrayType | m_Sigma |
| SizeType | m_Size |
| SpacingType | m_Spacing |
Generate an n-dimensional image of a Gaussian.
GaussianImageSource generates an image of a Gaussian. m_Normalized determines whether or not the Gaussian is normalized (whether or not the sum over infinite space is 1.0) When creating an image, it is preferable to _not_ normalize the Gaussian m_Scale scales the output of the Gaussian to span a range larger than 0->1, and is typically set to the maximum value of the output data type (for instance, 255 for uchars)
The output image may be of any dimension.
Definition at line 44 of file itkGaussianImageSource.h.
| typedef FixedArray< double, itkGetStaticConstMacro(NDimensions) > itk::GaussianImageSource< TOutputImage >::ArrayType |
Type used to store Gaussian parameters.
Definition at line 76 of file itkGaussianImageSource.h.
| typedef SmartPointer< const Self > itk::GaussianImageSource< TOutputImage >::ConstPointer |
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 52 of file itkGaussianImageSource.h.
| typedef TOutputImage::DirectionType itk::GaussianImageSource< TOutputImage >::DirectionType |
Direction typedef support. The direction is the direction cosines of the image.
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 70 of file itkGaussianImageSource.h.
| typedef TOutputImage::PixelType itk::GaussianImageSource< TOutputImage >::OutputImagePixelType |
Typedef for the output image PixelType.
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 55 of file itkGaussianImageSource.h.
| typedef TOutputImage::RegionType itk::GaussianImageSource< TOutputImage >::OutputImageRegionType |
Typedef to describe the output image region type.
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 58 of file itkGaussianImageSource.h.
| typedef Superclass::ParametersType itk::GaussianImageSource< TOutputImage >::ParametersType |
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 84 of file itkGaussianImageSource.h.
| typedef Superclass::ParametersValueType itk::GaussianImageSource< TOutputImage >::ParametersValueType |
Types for parameters.
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 83 of file itkGaussianImageSource.h.
| typedef SmartPointer< Self > itk::GaussianImageSource< TOutputImage >::Pointer |
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 51 of file itkGaussianImageSource.h.
| typedef TOutputImage::PointType itk::GaussianImageSource< TOutputImage >::PointType |
Origin typedef support. The origin is the geometric coordinates of the index (0,0).
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 66 of file itkGaussianImageSource.h.
| typedef GaussianImageSource itk::GaussianImageSource< TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 49 of file itkGaussianImageSource.h.
| typedef TOutputImage::SizeType itk::GaussianImageSource< TOutputImage >::SizeType |
Size type matches that used for images
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 79 of file itkGaussianImageSource.h.
| typedef TOutputImage::SizeValueType itk::GaussianImageSource< TOutputImage >::SizeValueType |
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 80 of file itkGaussianImageSource.h.
| typedef TOutputImage::SpacingType itk::GaussianImageSource< TOutputImage >::SpacingType |
Spacing typedef support. Spacing holds the size of a pixel. The spacing is the geometric distance between image samples.
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 62 of file itkGaussianImageSource.h.
| typedef ParametricImageSource< TOutputImage > itk::GaussianImageSource< TOutputImage >::Superclass |
Reimplemented from itk::ParametricImageSource< TOutputImage >.
Definition at line 50 of file itkGaussianImageSource.h.
| itk::GaussianImageSource< TOutputImage >::GaussianImageSource | ( | ) | [protected] |
| itk::GaussianImageSource< TOutputImage >::GaussianImageSource | ( | const GaussianImageSource< TOutputImage > & | ) | [private] |
| virtual::itk::LightObject::Pointer itk::GaussianImageSource< 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.
| void itk::GaussianImageSource< TOutputImage >::GenerateData | ( | ) | [protected, virtual] |
A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.
Reimplemented from itk::ImageSource< TOutputImage >.
| virtual const ArrayType& itk::GaussianImageSource< TOutputImage >::GetMean | ( | ) | [virtual] |
Gets and sets for Gaussian parameters
| virtual const char* itk::GaussianImageSource< TOutputImage >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ParametricImageSource< TOutputImage >.
| virtual const bool& itk::GaussianImageSource< TOutputImage >::GetNormalized | ( | ) | [virtual] |
Gets and sets for Gaussian parameters
| virtual unsigned int itk::GaussianImageSource< TOutputImage >::GetNumberOfParameters | ( | ) | const [virtual] |
Get the number of parameters for this image source. When this source is templated over an N-dimensional output image type, the number of parameters is 2*N+1.
Implements itk::ParametricImageSource< TOutputImage >.
| virtual ParametersType itk::GaussianImageSource< TOutputImage >::GetParameters | ( | ) | const [virtual] |
Set/get the parameters for this source. When this source is templated over an N-dimensional output image type, the first N values in the parameter array are the Sigma parameters in each dimension, the next N values are the Mean parameters in each dimension, and the last value is the Scale.
Implements itk::ParametricImageSource< TOutputImage >.
| virtual const double& itk::GaussianImageSource< TOutputImage >::GetScale | ( | ) | [virtual] |
Gets and sets for Gaussian parameters
| virtual const ArrayType& itk::GaussianImageSource< TOutputImage >::GetSigma | ( | ) | [virtual] |
Gets and sets for Gaussian parameters
| static Pointer itk::GaussianImageSource< TOutputImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| void itk::GaussianImageSource< TOutputImage >::operator= | ( | const GaussianImageSource< TOutputImage > & | ) | [private] |
| void itk::GaussianImageSource< 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::ParametricImageSource< TOutputImage >.
| virtual void itk::GaussianImageSource< TOutputImage >::SetMean | ( | ArrayType | _arg | ) | [virtual] |
Gets and sets for Gaussian parameters
| virtual void itk::GaussianImageSource< TOutputImage >::SetNormalized | ( | bool | _arg | ) | [virtual] |
Gets and sets for Gaussian parameters
| virtual void itk::GaussianImageSource< TOutputImage >::SetParameters | ( | const ParametersType & | parameters | ) | [virtual] |
Set/get the parameters for this source. When this source is templated over an N-dimensional output image type, the first N values in the parameter array are the Sigma parameters in each dimension, the next N values are the Mean parameters in each dimension, and the last value is the Scale.
| virtual void itk::GaussianImageSource< TOutputImage >::SetScale | ( | double | _arg | ) | [virtual] |
Gets and sets for Gaussian parameters
| virtual void itk::GaussianImageSource< TOutputImage >::SetSigma | ( | ArrayType | _arg | ) | [virtual] |
Gets and sets for Gaussian parameters
DirectionType itk::GaussianImageSource< TOutputImage >::m_Direction [private] |
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 131 of file itkGaussianImageSource.h.
ArrayType itk::GaussianImageSource< TOutputImage >::m_Mean [private] |
The mean in each direction.
Definition at line 139 of file itkGaussianImageSource.h.
bool itk::GaussianImageSource< TOutputImage >::m_Normalized [private] |
Whether or not to normalize the Gaussian.
Definition at line 145 of file itkGaussianImageSource.h.
PointType itk::GaussianImageSource< TOutputImage >::m_Origin [private] |
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 130 of file itkGaussianImageSource.h.
double itk::GaussianImageSource< TOutputImage >::m_Scale [private] |
A scale factor multiplied by the true value of the Gaussian.
Definition at line 142 of file itkGaussianImageSource.h.
ArrayType itk::GaussianImageSource< TOutputImage >::m_Sigma [private] |
Parameters for the Gaussian. The standard deviation in each direction.
Definition at line 136 of file itkGaussianImageSource.h.
SizeType itk::GaussianImageSource< TOutputImage >::m_Size [private] |
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 128 of file itkGaussianImageSource.h.
SpacingType itk::GaussianImageSource< TOutputImage >::m_Spacing [private] |
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 129 of file itkGaussianImageSource.h.
const unsigned int itk::GaussianImageSource< TOutputImage >::NDimensions = TOutputImage::ImageDimension [static] |
Dimensionality of the output image
Reimplemented from itk::GenerateImageSource< TOutputImage >.
Definition at line 73 of file itkGaussianImageSource.h.
1.7.4
