ITK
4.4.0
Insight Segmentation and Registration Toolkit
|
#include <itkGaussianDerivativeImageFunction.h>
Compute the gaussian derivatives of an the image at a specific location in space, i.e. point, index or continuous index. This class is templated over the input image type.
Definition at line 38 of file itkGaussianDerivativeImageFunction.h.
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
virtual OutputType | Evaluate (const PointType &point) const |
virtual OutputType | EvaluateAtContinuousIndex (const ContinuousIndexType &index) const |
virtual OutputType | EvaluateAtIndex (const IndexType &index) const |
const double * | GetExtent () const |
virtual const char * | GetNameOfClass () const |
const double * | GetSigma () const |
void | SetExtent (const double *extent) |
void | SetExtent (const double extent) |
virtual void | SetInputImage (const InputImageType *ptr) |
void | SetSigma (const double *sigma) |
void | SetSigma (const double sigma) |
Public Member Functions inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput > | |
void | ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const |
void | ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const |
void | ConvertPointToNearestIndex (const PointType &point, IndexType &index) const |
virtual Vector< TOutput, TInputImage::ImageDimension > | Evaluate (const PointType &point) const =0 |
virtual Vector< TOutput, TInputImage::ImageDimension > | EvaluateAtContinuousIndex (const ContinuousIndexType &index) const =0 |
virtual const ContinuousIndexType & | GetEndContinuousIndex () |
virtual const IndexType & | GetEndIndex () |
const InputImageType * | GetInputImage () const |
virtual const ContinuousIndexType & | GetStartContinuousIndex () |
virtual const IndexType & | GetStartIndex () |
virtual bool | IsInsideBuffer (const IndexType &index) const |
virtual bool | IsInsideBuffer (const ContinuousIndexType &index) const |
virtual bool | IsInsideBuffer (const PointType &point) const |
Public Member Functions inherited from itk::FunctionBase< Point< TOutput, TInputImage::ImageDimension >, Vector< TOutput, TInputImage::ImageDimension > > | |
virtual OutputType | Evaluate (const InputType &input) const =0 |
Public Member Functions inherited from itk::Object | |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
MetaDataDictionary & | GetMetaDataDictionary (void) |
const MetaDataDictionary & | GetMetaDataDictionary (void) const |
virtual ModifiedTimeType | GetMTime () const |
virtual const TimeStamp & | GetTimeStamp () const |
bool | HasObserver (const EventObject &event) const |
void | InvokeEvent (const EventObject &) |
void | InvokeEvent (const EventObject &) const |
virtual void | Modified () const |
virtual void | Register () const |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
virtual void | SetReferenceCount (int) |
virtual void | UnRegister () const |
Public Member Functions inherited from itk::LightObject | |
virtual void | Delete () |
virtual int | GetReferenceCount () const |
itkCloneMacro (Self) | |
void | Print (std::ostream &os, Indent indent=0) const |
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension2 = InputImageType::ImageDimension |
Static Public Attributes inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput > | |
static const unsigned int | ImageDimension |
Additional Inherited Members | |
Protected Types inherited from itk::LightObject | |
typedef int | InternalReferenceCountType |
Protected Attributes inherited from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput > | |
ContinuousIndexType | m_EndContinuousIndex |
IndexType | m_EndIndex |
InputImageConstPointer | m_Image |
ContinuousIndexType | m_StartContinuousIndex |
IndexType | m_StartIndex |
typedef SmartPointer< const Self > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ConstPointer |
Definition at line 55 of file itkGaussianDerivativeImageFunction.h.
typedef ContinuousIndex< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::ContinuousIndexType |
Definition at line 73 of file itkGaussianDerivativeImageFunction.h.
typedef GaussianDerivativeFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionPointer |
Definition at line 86 of file itkGaussianDerivativeImageFunction.h.
typedef GaussianDerivativeSpatialFunction< TOutput, 1 > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeFunctionType |
Definition at line 85 of file itkGaussianDerivativeImageFunction.h.
typedef GaussianFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionPointer |
Definition at line 89 of file itkGaussianDerivativeImageFunction.h.
typedef GaussianSpatialFunction< TOutput, 1 > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianFunctionType |
Definition at line 88 of file itkGaussianDerivativeImageFunction.h.
typedef InputImageType::IndexType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::IndexType |
Definition at line 66 of file itkGaussianDerivativeImageFunction.h.
typedef TInputImage itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputImageType |
InputImageType typedef support.
Definition at line 61 of file itkGaussianDerivativeImageFunction.h.
typedef InputImageType::PixelType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::InputPixelType |
Definition at line 65 of file itkGaussianDerivativeImageFunction.h.
typedef Neighborhood< InputPixelType, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::NeighborhoodType |
Definition at line 75 of file itkGaussianDerivativeImageFunction.h.
typedef FixedArray< OperatorNeighborhoodType, 2 *itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorArrayType |
Definition at line 80 of file itkGaussianDerivativeImageFunction.h.
typedef OperatorImageFunctionType::Pointer itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer |
Definition at line 83 of file itkGaussianDerivativeImageFunction.h.
typedef NeighborhoodOperatorImageFunction< InputImageType, TOutput > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionType |
Definition at line 82 of file itkGaussianDerivativeImageFunction.h.
typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorNeighborhoodType |
Definition at line 76 of file itkGaussianDerivativeImageFunction.h.
typedef Superclass::OutputType itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::OutputType |
Definition at line 79 of file itkGaussianDerivativeImageFunction.h.
typedef SmartPointer< Self > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Pointer |
Smart pointer typedef support.
Definition at line 54 of file itkGaussianDerivativeImageFunction.h.
typedef Point< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::PointType |
Point typedef support.
Definition at line 92 of file itkGaussianDerivativeImageFunction.h.
typedef GaussianDerivativeImageFunction itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Self |
Standard "Self" typedef
Definition at line 46 of file itkGaussianDerivativeImageFunction.h.
typedef ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::Superclass |
Standard "Superclass" typedef
Definition at line 51 of file itkGaussianDerivativeImageFunction.h.
typedef Vector< TOutput, itkGetStaticConstMacro(ImageDimension2) > itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::VectorType |
Definition at line 78 of file itkGaussianDerivativeImageFunction.h.
|
protected |
|
protected |
|
inlineprotected |
Definition at line 133 of file itkGaussianDerivativeImageFunction.h.
|
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.
|
virtual |
Evalutate the in the given dimension at specified point
|
virtual |
Evaluate the function at specified ContinousIndex position.
|
virtual |
Evaluate the function at specified Index position
Implements itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >.
|
inline |
Definition at line 121 of file itkGaussianDerivativeImageFunction.h.
|
virtual |
Run-time type information (and related methods).
Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >.
|
inline |
Definition at line 114 of file itkGaussianDerivativeImageFunction.h.
|
static |
Method for creation through the object factory.
|
protected |
|
protectedvirtual |
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::Object.
|
protected |
|
protected |
void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent | ( | const double * | extent | ) |
Set the extent of the kernel
void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetExtent | ( | const double | extent | ) |
|
virtual |
Set the input image.
Reimplemented from itk::ImageFunction< TInputImage, Vector< TOutput, TInputImage::ImageDimension >, TOutput >.
void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma | ( | const double * | sigma | ) |
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.
void itk::GaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma | ( | const double | sigma | ) |
|
static |
Dimension of the underlying image.
Definition at line 70 of file itkGaussianDerivativeImageFunction.h.
|
mutableprivate |
Definition at line 151 of file itkGaussianDerivativeImageFunction.h.
|
private |
Definition at line 155 of file itkGaussianDerivativeImageFunction.h.
|
private |
Definition at line 161 of file itkGaussianDerivativeImageFunction.h.
|
private |
Definition at line 162 of file itkGaussianDerivativeImageFunction.h.
|
mutableprivate |
Array of 1D operators. Contains a derivative kernel and a gaussian kernel for each dimension
Definition at line 150 of file itkGaussianDerivativeImageFunction.h.
|
private |
OperatorImageFunction
Definition at line 154 of file itkGaussianDerivativeImageFunction.h.
|
private |
Definition at line 146 of file itkGaussianDerivativeImageFunction.h.
|
private |
Flag to indicate whether to use image spacing
Definition at line 158 of file itkGaussianDerivativeImageFunction.h.