Compute the Hessian Gaussian of an image at a specific location in space by calculating discrete second-order gaussian derivatives. This class is templated over the input image type. More...
#include <itkDiscreteHessianGaussianImageFunction.h>
Compute the Hessian Gaussian of an image at a specific location in space by calculating discrete second-order gaussian derivatives. 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
Definition at line 48 of file itkDiscreteHessianGaussianImageFunction.h.
typedef SmartPointer<const Self> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::ConstPointer |
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 65 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Superclass::ContinuousIndexType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::ContinuousIndexType |
ContinuousIndex Type.
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 78 of file itkDiscreteHessianGaussianImageFunction.h.
typedef TOutput itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::CoordRepType [inherited] |
CoordRepType typedef support.
Definition at line 94 of file itkImageFunction.h.
typedef FixedArray<GaussianDerivativeOperatorType, 3*itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorArrayType |
Array to store gaussian derivative operators from zero to second order (3*ImageDimension operators)
Definition at line 98 of file itkDiscreteHessianGaussianImageFunction.h.
typedef itk::GaussianDerivativeOperator<TOutput, itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorType |
Definition at line 93 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Superclass::IndexType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::IndexType |
Index Type.
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 76 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Superclass::IndexValueType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::IndexValueType |
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 77 of file itkDiscreteHessianGaussianImageFunction.h.
typedef InputImageType::ConstPointer itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::InputImageConstPointer [inherited] |
InputImagePointer typedef support
Definition at line 88 of file itkImageFunction.h.
typedef Superclass::InputImageType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::InputImageType |
Image dependent types
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 71 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Superclass::InputPixelType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::InputPixelType |
InputPixel typedef support
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 75 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::FunctionBase< Point< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > >::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)* (itkGetStaticConstMacro(ImageDimension2)+1)/2> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::KernelArrayType |
Array to store precomputed N-dimensional kernels for the hessian components
Definition at line 105 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Neighborhood<TOutput,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::KernelType |
Definition at line 100 of file itkDiscreteHessianGaussianImageFunction.h.
typedef OperatorImageFunctionType::Pointer itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer |
Definition at line 111 of file itkDiscreteHessianGaussianImageFunction.h.
typedef NeighborhoodOperatorImageFunction<InputImageType, TOutput> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::OperatorImageFunctionType |
Image function that performs convolution with the neighborhood operator
Definition at line 110 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Superclass::OutputType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::OutputType |
OutputType typedef support.
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 88 of file itkDiscreteHessianGaussianImageFunction.h.
typedef SmartPointer<Self> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Pointer |
Smart pointer typedef support
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 64 of file itkDiscreteHessianGaussianImageFunction.h.
typedef Superclass::PointType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::PointType |
Point Type.
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 79 of file itkDiscreteHessianGaussianImageFunction.h.
typedef DiscreteHessianGaussianImageFunction itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Self |
Standard "Self" typedef
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 56 of file itkDiscreteHessianGaussianImageFunction.h.
typedef ImageFunction<TInputImage, SymmetricSecondRankTensor<TOutput,::itk::GetImageDimension<TInputImage>::ImageDimension>, TOutput > itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Superclass |
Standard "Superclass" typedef
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 61 of file itkDiscreteHessianGaussianImageFunction.h.
typedef SymmetricSecondRankTensor<TOutput, ::itk::GetImageDimension<TInputImage>::ImageDimension> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::TensorType |
Output type
Definition at line 87 of file itkDiscreteHessianGaussianImageFunction.h.
typedef FixedArray<double,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::VarianceArrayType |
Definition at line 90 of file itkDiscreteHessianGaussianImageFunction.h.
enum itk::DiscreteHessianGaussianImageFunction::InterpolationModeType |
Interpolation modes
Definition at line 114 of file itkDiscreteHessianGaussianImageFunction.h.
itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::DiscreteHessianGaussianImageFunction | ( | ) | [protected] |
itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::DiscreteHessianGaussianImageFunction | ( | const Self & | ) | [inline, protected] |
Definition at line 200 of file itkDiscreteHessianGaussianImageFunction.h.
itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::~DiscreteHessianGaussianImageFunction | ( | ) | [inline, protected] |
Definition at line 202 of file itkDiscreteHessianGaussianImageFunction.h.
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
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
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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::ConvertContinuousIndexToNearestIndex | ( | const ContinuousIndexType & | cindex, | |
IndexType & | index | |||
) | const [inline, inherited] |
Convert continuous index to nearest index.
Definition at line 219 of file itkImageFunction.h.
void itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::ConvertPointToContinousIndex | ( | const PointType & | point, | |
ContinuousIndexType & | cindex | |||
) | const [inline, inherited] |
Convert point to continuous index
Definition at line 200 of file itkImageFunction.h.
void itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::ConvertPointToContinuousIndex | ( | const PointType & | point, | |
ContinuousIndexType & | cindex | |||
) | const [inline, inherited] |
Convert point to continuous index
Definition at line 212 of file itkImageFunction.h.
void itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::ConvertPointToNearestIndex | ( | const PointType & | point, | |
IndexType & | index | |||
) | const [inline, inherited] |
Convert point to nearest index.
Definition at line 190 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.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.
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 OutputType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::Evaluate | ( | const PointType & | point | ) | const [virtual] |
Evalutate the in the given dimension at specified point
virtual SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::Evaluate | ( | const PointType & | point | ) | const [pure virtual, inherited] |
Evaluate the function at specified Point position. Subclasses must provide this method.
virtual SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::EvaluateAtContinuousIndex | ( | const ContinuousIndexType & | index | ) | const [pure virtual, inherited] |
Evaluate the function at specified ContinuousIndex position. Subclasses must provide this method.
virtual OutputType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex | ( | const ContinuousIndexType & | index | ) | const [virtual] |
Evaluate the function at specified ContinousIndex position
virtual SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::EvaluateAtIndex | ( | const IndexType & | index | ) | const [pure virtual, inherited] |
Evaluate the function at specified Index position. Subclasses must provide this method.
virtual OutputType itk::DiscreteHessianGaussianImageFunction< 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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::GetEndContinuousIndex | ( | ) | [virtual, inherited] |
virtual const IndexType& itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , 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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::GetInputImage | ( | ) | const [inline, inherited] |
Get the input image.
Definition at line 114 of file itkImageFunction.h.
virtual InterpolationModeType itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetInterpolationMode | ( | ) | const [virtual] |
Set/Get the interpolation mode.
virtual double itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< 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.
MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [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::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, 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::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods)
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
virtual bool itk::DiscreteHessianGaussianImageFunction< 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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::GetStartContinuousIndex | ( | ) | [virtual, inherited] |
virtual const IndexType& itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::GetStartIndex | ( | ) | [virtual, inherited] |
virtual bool itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::GetUseImageSpacing | ( | ) | const [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
virtual const VarianceArrayType itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< 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 195 of file itkDiscreteHessianGaussianImageFunction.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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , 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.
Definition at line 137 of file itkImageFunction.h.
virtual bool itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::IsInsideBuffer | ( | const PointType & | point | ) | const [inline, virtual, inherited] |
Check if a point is inside the image buffer.
Definition at line 181 of file itkImageFunction.h.
virtual bool itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::IsInsideBuffer | ( | const ContinuousIndexType & | index | ) | const [inline, virtual, inherited] |
Check if a continuous index is inside the image buffer.
Definition at line 157 of file itkImageFunction.h.
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::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
static Pointer itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::New | ( | ) | [static] |
Method for creation through the object factory
Reimplemented from itk::Object.
virtual void itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::operator= | ( | const Self & | ) | [inline, protected] |
Reimplemented from itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
Definition at line 204 of file itkDiscreteHessianGaussianImageFunction.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::DiscreteHessianGaussianImageFunction< 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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension >, TOutput >.
virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
void itk::DiscreteHessianGaussianImageFunction< 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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::SetInputImage | ( | const InputImageType * | ptr | ) | [virtual, inherited] |
Set the input image.
virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetInputImage | ( | const InputImageType * | ptr | ) | [virtual] |
Set the input image.
virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetInterpolationMode | ( | InterpolationModeType | _arg | ) | [virtual] |
Set/Get the interpolation mode.
virtual void itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< 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] |
virtual void itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetSigma | ( | const double | sigma | ) | [inline] |
Convenience method for setting the variance through the standard deviation
Definition at line 146 of file itkDiscreteHessianGaussianImageFunction.h.
virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetUseImageSpacing | ( | bool | _arg | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::SetVariance | ( | double | variance | ) | [inline, virtual] |
Convenience method for setting the variance for all dimensions
Definition at line 138 of file itkDiscreteHessianGaussianImageFunction.h.
virtual void itk::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< 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::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::UseImageSpacingOff | ( | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
virtual void itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::UseImageSpacingOn | ( | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
const unsigned int itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::ImageDimension [static, inherited] |
Dimension underlying input image.
Definition at line 68 of file itkImageFunction.h.
const unsigned int itk::DiscreteHessianGaussianImageFunction< TInputImage, TOutput >::ImageDimension2 = InputImageType::ImageDimension [static] |
Dimension of the underlying image
Definition at line 83 of file itkDiscreteHessianGaussianImageFunction.h.
ContinuousIndexType itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::m_EndContinuousIndex [protected, inherited] |
Definition at line 243 of file itkImageFunction.h.
IndexType itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::m_EndIndex [protected, inherited] |
Definition at line 241 of file itkImageFunction.h.
InputImageConstPointer itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::m_Image [protected, inherited] |
Const pointer to the input image.
Definition at line 237 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, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::m_StartContinuousIndex [protected, inherited] |
Definition at line 242 of file itkImageFunction.h.
IndexType itk::ImageFunction< TInputImage, SymmetricSecondRankTensor< TOutput,::itk::GetImageDimension< TInputImage >::ImageDimension > , TOutput >::m_StartIndex [protected, inherited] |
Cache some values for testing if indices are inside buffered region.
Definition at line 240 of file itkImageFunction.h.