itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput > Class Template Reference
Compute the discrete gradient magnitude gaussian of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type. More...
#include <itkDiscreteGradientMagnitudeGaussianImageFunction.h>
Public Types | |
| typedef SmartPointer< const Self > | ConstPointer |
| typedef Superclass::ContinuousIndexType | ContinuousIndexType |
| typedef TOutput | CoordRepType |
| typedef FixedArray < GaussianDerivativeOperatorType, 2 *itkGetStaticConstMacro(ImageDimension2)> | GaussianDerivativeOperatorArrayType |
| typedef itk::GaussianDerivativeOperator < TOutput, itkGetStaticConstMacro(ImageDimension2)> | GaussianDerivativeOperatorType |
| typedef Superclass::IndexType | IndexType |
| typedef InputImageType::ConstPointer | InputImageConstPointer |
| typedef Superclass::InputImageType | InputImageType |
| typedef Superclass::InputPixelType | InputPixelType |
| typedef Point< TOutput,::itk::GetImageDimension < TInputImage > ::ImageDimension > | InputType |
| enum | InterpolationModeType { NearestNeighbourInterpolation, LinearInterpolation } |
| typedef FixedArray< KernelType, itkGetStaticConstMacro(ImageDimension2)> | KernelArrayType |
| typedef Neighborhood< TOutput, itkGetStaticConstMacro(ImageDimension2)> | KernelType |
| typedef FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension2)> | OrderArrayType |
| typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension2)> | VarianceArrayType |
Public Member Functions | |
| void | ConvertContinuousIndexToNearestIndex (const ContinuousIndexType &cindex, IndexType &index) const |
| void | ConvertPointToContinuousIndex (const PointType &point, ContinuousIndexType &cindex) const |
| virtual LightObject::Pointer | CreateAnother () const |
| virtual void | DebugOff () const |
| virtual void | DebugOn () const |
| virtual void | Delete () |
| virtual TOutput | Evaluate (const PointType &point) const =0 |
| virtual OutputType | Evaluate (const PointType &point) const |
| virtual TOutput | EvaluateAtContinuousIndex (const ContinuousIndexType &index) const =0 |
| virtual OutputType | EvaluateAtContinuousIndex (const ContinuousIndexType &index) const |
| virtual TOutput | EvaluateAtIndex (const IndexType &index) const =0 |
| virtual OutputType | EvaluateAtIndex (const IndexType &index) const |
| Command * | GetCommand (unsigned long tag) |
| bool | GetDebug () const |
| virtual const ContinuousIndexType & | GetEndContinuousIndex () |
| virtual const IndexType & | GetEndIndex () |
| const InputImageType * | GetInputImage () const |
| const MetaDataDictionary & | GetMetaDataDictionary (void) const |
| MetaDataDictionary & | GetMetaDataDictionary (void) |
| virtual unsigned long | GetMTime () const |
| virtual const char * | GetNameOfClass () const |
| virtual int | GetReferenceCount () const |
| virtual const ContinuousIndexType & | GetStartContinuousIndex () |
| virtual const IndexType & | GetStartIndex () |
| bool | HasObserver (const EventObject &event) const |
| virtual void | Initialize () |
| void | InvokeEvent (const EventObject &) const |
| void | InvokeEvent (const EventObject &) |
| itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension) | |
| itkStaticConstMacro (ImageDimension2, unsigned int, InputImageType::ImageDimension) | |
| virtual void | Modified () const |
| void | Print (std::ostream &os, Indent indent=0) const |
| virtual void | Register () const |
| void | RemoveAllObservers () |
| void | RemoveObserver (unsigned long tag) |
| void | SetDebug (bool debugFlag) const |
| virtual void | SetInputImage (const InputImageType *ptr) |
| virtual void | SetInputImage (const InputImageType *ptr) |
| void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
| virtual void | SetReferenceCount (int) |
| void | SetSigma (const double sigma) |
| virtual void | UnRegister () const |
| unsigned long | AddObserver (const EventObject &event, Command *) const |
| unsigned long | AddObserver (const EventObject &event, Command *) |
| void | ConvertPointToContinousIndex (const PointType &point, ContinuousIndexType &cindex) const |
| void | ConvertPointToNearestIndex (const PointType &point, IndexType &index) const |
| virtual InterpolationModeType | GetInterpolationMode () const |
| virtual void | SetInterpolationMode (InterpolationModeType _arg) |
| virtual double | GetMaximumError () const |
| virtual void | SetMaximumError (double _arg) |
| virtual unsigned int | GetMaximumKernelWidth () const |
| virtual void | SetMaximumKernelWidth (unsigned int _arg) |
| virtual bool | GetNormalizeAcrossScale () const |
| virtual void | NormalizeAcrossScaleOff () |
| virtual void | NormalizeAcrossScaleOn () |
| virtual void | SetNormalizeAcrossScale (bool _arg) |
| virtual bool | GetUseImageSpacing () const |
| virtual void | SetUseImageSpacing (bool _arg) |
| virtual void | UseImageSpacingOff () |
| virtual void | UseImageSpacingOn () |
| virtual const VarianceArrayType | GetVariance () const |
| virtual void | SetVariance (double data[]) |
| virtual void | SetVariance (VarianceArrayType _arg) |
| virtual bool | IsInsideBuffer (const PointType &point) const |
| virtual bool | IsInsideBuffer (const ContinuousIndexType &index) const |
| virtual bool | IsInsideBuffer (const IndexType &index) const |
| virtual void | SetVariance (double variance) |
Static Public Member Functions | |
| static void | BreakOnError () |
| static Pointer | New () |
| static bool | GetGlobalWarningDisplay () |
| static void | GlobalWarningDisplayOff () |
| static void | GlobalWarningDisplayOn () |
| static void | SetGlobalWarningDisplay (bool flag) |
Protected Types | |
| typedef int | InternalReferenceCountType |
Protected Member Functions | |
| DiscreteGradientMagnitudeGaussianImageFunction (const Self &) | |
| DiscreteGradientMagnitudeGaussianImageFunction () | |
| void | operator= (const Self &) |
| bool | PrintObservers (std::ostream &os, Indent indent) const |
| void | PrintSelf (std::ostream &os, Indent indent) const |
| void | RecomputeGaussianKernel () |
| ~DiscreteGradientMagnitudeGaussianImageFunction () | |
| virtual void | PrintHeader (std::ostream &os, Indent indent) const |
| virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
Protected Attributes | |
| ContinuousIndexType | m_EndContinuousIndex |
| IndexType | m_EndIndex |
| InputImageConstPointer | m_Image |
| InternalReferenceCountType | m_ReferenceCount |
| SimpleFastMutexLock | m_ReferenceCountLock |
| ContinuousIndexType | m_StartContinuousIndex |
| IndexType | m_StartIndex |
Detailed Description
template<class TInputImage, class TOutput = double>
class itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >
Compute the discrete gradient magnitude gaussian of an the image at a specific location in space, i.e. point, index or continuous index. This class computes a single derivative given the order in each direction (by default zero). This class is templated over the input image type.
The Initialize() method must be called after setting the parameters and before evaluating the function.
This implementation was taken from the Insight Journal paper: http://hdl.handle.net/1926/1290
- See also:
- NeighborhoodOperator
Definition at line 49 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
Member Typedef Documentation
| typedef SmartPointer<const Self> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::ConstPointer |
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 62 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef Superclass::ContinuousIndexType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::ContinuousIndexType |
ContinuousIndex Type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 74 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
typedef TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::CoordRepType [inherited] |
CoordRepType typedef support.
Definition at line 94 of file itkImageFunction.h.
| typedef FixedArray<GaussianDerivativeOperatorType, 2*itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorArrayType |
Array to store gaussian derivative operators one for each dimension
Definition at line 94 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef itk::GaussianDerivativeOperator<TOutput, itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorType |
Definition at line 90 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef Superclass::IndexType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::IndexType |
Index Type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 73 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
typedef InputImageType::ConstPointer itk::ImageFunction< TInputImage , TOutput , TOutput >::InputImageConstPointer [inherited] |
InputImagePointer typedef support
Definition at line 88 of file itkImageFunction.h.
| typedef Superclass::InputImageType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::InputImageType |
Image dependent types
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 68 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef Superclass::InputPixelType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::InputPixelType |
InputPixel typedef support
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 72 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
typedef Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::FunctionBase< Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::InputType [inherited] |
Input type
Definition at line 54 of file itkFunctionBase.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 139 of file itkLightObject.h.
| typedef FixedArray<KernelType,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::KernelArrayType |
Array to store precomputed N-dimensional kernels for the gradient components
Definition at line 100 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef Neighborhood<TOutput,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::KernelType |
Precomputed N-dimensional derivative kernel
Definition at line 97 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef OperatorImageFunctionType::Pointer itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer |
Definition at line 105 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef NeighborhoodOperatorImageFunction<InputImageType, TOutput> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::OperatorImageFunctionType |
Image function that performs convolution with the neighborhood operator
Definition at line 104 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef FixedArray<unsigned int,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::OrderArrayType |
Arrays for native types
Definition at line 86 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef Superclass::OutputType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::OutputType |
Output type
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 82 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef SmartPointer<Self> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::Pointer |
Smart pointer typedef support
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 61 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef Superclass::PointType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::PointType |
Point Type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 75 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef DiscreteGradientMagnitudeGaussianImageFunction itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::Self |
Standard "Self" typedef
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 55 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef ImageFunction<TInputImage, TOutput, TOutput> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::Superclass |
Standard "Superclass" typedef
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 58 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| typedef FixedArray<double,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::VarianceArrayType |
Arrays for native types
Definition at line 85 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
Member Enumeration Documentation
| enum itk::DiscreteGradientMagnitudeGaussianImageFunction::InterpolationModeType |
Interpolation modes
Definition at line 108 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
Constructor & Destructor Documentation
| itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::DiscreteGradientMagnitudeGaussianImageFunction | ( | ) | [protected] |
| itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::DiscreteGradientMagnitudeGaussianImageFunction | ( | const Self & | ) | [inline, protected] |
Definition at line 194 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::~DiscreteGradientMagnitudeGaussianImageFunction | ( | ) | [inline, protected] |
Definition at line 196 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
Member Function Documentation
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertContinuousIndexToNearestIndex | ( | const ContinuousIndexType & | cindex, | |
| IndexType & | index | |||
| ) | const [inline, inherited] |
Convert continuous index to nearest index.
Definition at line 218 of file itkImageFunction.h.
| void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertPointToContinousIndex | ( | const PointType & | point, | |
| ContinuousIndexType & | cindex | |||
| ) | const [inline, inherited] |
Convert point to continuous index
Definition at line 199 of file itkImageFunction.h.
References itkWarningMacro.
| void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertPointToContinuousIndex | ( | const PointType & | point, | |
| ContinuousIndexType & | cindex | |||
| ) | const [inline, inherited] |
Convert point to continuous index
Definition at line 211 of file itkImageFunction.h.
| void itk::ImageFunction< TInputImage , TOutput , TOutput >::ConvertPointToNearestIndex | ( | const PointType & | point, | |
| IndexType & | index | |||
| ) | const [inline, inherited] |
Convert point to nearest index.
Definition at line 189 of file itkImageFunction.h.
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
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::LightObject.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| virtual TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::Evaluate | ( | const PointType & | point | ) | const [pure virtual, inherited] |
Evaluate the function at specified Point position. Subclasses must provide this method.
Implements itk::FunctionBase< Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
| virtual OutputType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::Evaluate | ( | const PointType & | point | ) | const [virtual] |
Evalutate the in the given dimension at specified point
| virtual TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::EvaluateAtContinuousIndex | ( | const ContinuousIndexType & | index | ) | const [pure virtual, inherited] |
Evaluate the function at specified ContinuousIndex position. Subclasses must provide this method.
| virtual OutputType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex | ( | const ContinuousIndexType & | index | ) | const [virtual] |
Evaluate the function at specified ContinousIndex position
| virtual TOutput itk::ImageFunction< TInputImage , TOutput , TOutput >::EvaluateAtIndex | ( | const IndexType & | index | ) | const [pure virtual, inherited] |
Evaluate the function at specified Index position. Subclasses must provide this method.
| virtual OutputType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::EvaluateAtIndex | ( | const IndexType & | index | ) | const [virtual] |
Evaluate the function at specified Index position
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| virtual const ContinuousIndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetEndContinuousIndex | ( | ) | [virtual, inherited] |
| virtual const IndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetEndIndex | ( | ) | [virtual, inherited] |
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| const InputImageType* itk::ImageFunction< TInputImage , TOutput , TOutput >::GetInputImage | ( | ) | const [inline, inherited] |
Get the input image.
Definition at line 113 of file itkImageFunction.h.
| virtual InterpolationModeType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetInterpolationMode | ( | ) | const [virtual] |
Set/Get the interpolation mode.
| virtual double itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetMaximumError | ( | ) | const [virtual] |
Set/Get the desired maximum error of the gaussian approximation. Maximum error is the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. The value is clamped between 0.00001 and 0.99999.
| virtual unsigned int itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetMaximumKernelWidth | ( | ) | const [virtual] |
Set/Get a limit for growth of the kernel. Small maximum error values with large variances will yield very large kernel sizes. This value can be used to truncate a kernel in such instances. A warning will be given on truncation of the kernel.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| virtual const char* itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods)
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
| virtual bool itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetNormalizeAcrossScale | ( | ) | const [virtual] |
Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
| virtual const ContinuousIndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetStartContinuousIndex | ( | ) | [virtual, inherited] |
| virtual const IndexType& itk::ImageFunction< TInputImage , TOutput , TOutput >::GetStartIndex | ( | ) | [virtual, inherited] |
| virtual bool itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetUseImageSpacing | ( | ) | const [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
| virtual const VarianceArrayType itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::GetVariance | ( | ) | const [virtual] |
Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. 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
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::Initialize | ( | void | ) | [inline, virtual] |
Initialize the Gaussian kernel. Call this method before evaluating the function. This method MUST be called after any changes to function parameters.
Definition at line 189 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual bool itk::ImageFunction< TInputImage , TOutput , TOutput >::IsInsideBuffer | ( | const PointType & | point | ) | const [inline, virtual, inherited] |
Check if a point is inside the image buffer.
- Warning:
- For efficiency, no validity checking of the input image pointer is done.
Definition at line 180 of file itkImageFunction.h.
| virtual bool itk::ImageFunction< TInputImage , TOutput , TOutput >::IsInsideBuffer | ( | const ContinuousIndexType & | index | ) | const [inline, virtual, inherited] |
Check if a continuous index is inside the image buffer.
- Warning:
- For efficiency, no validity checking of the input image is done.
Definition at line 156 of file itkImageFunction.h.
| virtual bool itk::ImageFunction< TInputImage , TOutput , TOutput >::IsInsideBuffer | ( | const IndexType & | index | ) | const [inline, virtual, inherited] |
Check if an index is inside the image buffer. If ITK_USE_CENTERED_PIXEL_COORDINATES_CONSISTENTLY is on, we take into account the fact that each voxel has its center at the integer coordinate and extends half way to the next integer coordinate.
- Warning:
- For efficiency, no validity checking of the input image is done.
Definition at line 136 of file itkImageFunction.h.
| itk::ImageFunction< TInputImage , TOutput , TOutput >::itkStaticConstMacro | ( | ImageDimension | , | |
| unsigned | int, | |||
| TInputImage ::ImageDimension | ||||
| ) | [inherited] |
Dimension underlying input image.
| itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::itkStaticConstMacro | ( | ImageDimension2 | , | |
| unsigned | int, | |||
| InputImageType::ImageDimension | ||||
| ) |
Dimension of the underlying image
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::New | ( | ) | [static] |
Method for creation through the object factory
Reimplemented from itk::Object.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::NormalizeAcrossScaleOff | ( | ) | [virtual] |
Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::NormalizeAcrossScaleOn | ( | ) | [virtual] |
Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
| void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::operator= | ( | const Self & | ) | [inline, protected] |
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 198 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::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::ImageFunction< TInputImage, TOutput, TOutput >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::RecomputeGaussianKernel | ( | ) | [protected] |
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| virtual void itk::ImageFunction< TInputImage , TOutput , TOutput >::SetInputImage | ( | const InputImageType * | ptr | ) | [virtual, inherited] |
Set the input image.
- Warning:
- this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetInputImage | ( | const InputImageType * | ptr | ) | [virtual] |
Set the input image.
- Warning:
- this method caches BufferedRegion information. If the BufferedRegion has changed, user must call SetInputImage again to update cached values.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetInterpolationMode | ( | InterpolationModeType | _arg | ) | [virtual] |
Set/Get the interpolation mode.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetMaximumError | ( | double | _arg | ) | [virtual] |
Set/Get the desired maximum error of the gaussian approximation. Maximum error is the difference between the area under the discrete Gaussian curve and the area under the continuous Gaussian. Maximum error affects the Gaussian operator size. The value is clamped between 0.00001 and 0.99999.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetMaximumKernelWidth | ( | unsigned int | _arg | ) | [virtual] |
Set/Get a limit for growth of the kernel. Small maximum error values with large variances will yield very large kernel sizes. This value can be used to truncate a kernel in such instances. A warning will be given on truncation of the kernel.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetNormalizeAcrossScale | ( | bool | _arg | ) | [virtual] |
Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetSigma | ( | const double | sigma | ) | [inline] |
Convenience method for setting the variance through the standard deviation
Definition at line 140 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetUseImageSpacing | ( | bool | _arg | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetVariance | ( | double | variance | ) | [inline, virtual] |
Convenience method for setting the variance for all dimensions
Definition at line 132 of file itkDiscreteGradientMagnitudeGaussianImageFunction.h.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetVariance | ( | double | data[] | ) | [virtual] |
Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. 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
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::SetVariance | ( | VarianceArrayType | _arg | ) | [virtual] |
Set/Get the variance for the discrete Gaussian kernel. Sets the variance for individual dimensions. 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
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::UseImageSpacingOff | ( | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
| virtual void itk::DiscreteGradientMagnitudeGaussianImageFunction< TInputImage, TOutput >::UseImageSpacingOn | ( | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
Member Data Documentation
ContinuousIndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_EndContinuousIndex [protected, inherited] |
Definition at line 242 of file itkImageFunction.h.
IndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_EndIndex [protected, inherited] |
Definition at line 240 of file itkImageFunction.h.
InputImageConstPointer itk::ImageFunction< TInputImage , TOutput , TOutput >::m_Image [protected, inherited] |
Const pointer to the input image.
Definition at line 236 of file itkImageFunction.h.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.
ContinuousIndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_StartContinuousIndex [protected, inherited] |
Definition at line 241 of file itkImageFunction.h.
IndexType itk::ImageFunction< TInputImage , TOutput , TOutput >::m_StartIndex [protected, inherited] |
Cache some values for testing if indices are inside buffered region.
Definition at line 239 of file itkImageFunction.h.
The documentation for this class was generated from the following file:
