Compute the discrete gaussian derivatives 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 <itkDiscreteGaussianDerivativeImageFunction.h>
Detailed Description
template<class TInputImage, class TOutput = double>
class itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >
Compute the discrete gaussian derivatives 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
- ImageFunction
Definition at line 49 of file itkDiscreteGaussianDerivativeImageFunction.h.
Member Typedef Documentation
| typedef SmartPointer<const Self> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::ConstPointer |
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 62 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef Superclass::ContinuousIndexType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::ContinuousIndexType |
ContinuousIndex Type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 75 of file itkDiscreteGaussianDerivativeImageFunction.h.
typedef TOutput itk::ImageFunction< TInputImage, TOutput, TOutput >::CoordRepType [inherited] |
CoordRepType typedef support.
Definition at line 94 of file itkImageFunction.h.
| typedef FixedArray<GaussianDerivativeOperatorType, itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorArrayType |
Array to store gaussian derivative operators one for each dimension.
Definition at line 95 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef itk::GaussianDerivativeOperator<TOutput, itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GaussianDerivativeOperatorType |
Definition at line 91 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef Superclass::IndexType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::IndexType |
Index Type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 73 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef Superclass::IndexValueType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::IndexValueType |
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 74 of file itkDiscreteGaussianDerivativeImageFunction.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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::InputImageType |
Image dependent types.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 68 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef Superclass::InputPixelType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::InputPixelType |
InputPixel typedef support
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 72 of file itkDiscreteGaussianDerivativeImageFunction.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 Neighborhood<TOutput,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::KernelType |
Precomputed N-dimensional derivative kernel.
Definition at line 98 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef OperatorImageFunctionType::Pointer itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionPointer |
Definition at line 103 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef NeighborhoodOperatorImageFunction<InputImageType, TOutput> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OperatorImageFunctionType |
Image function that performs convolution with the neighborhood operator.
Definition at line 102 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef FixedArray<unsigned int,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OrderArrayType |
Arrays for native types.
Definition at line 87 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef Superclass::OutputType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::OutputType |
Output type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 83 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef SmartPointer<Self> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Pointer |
Smart pointer typedef support.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 61 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef Superclass::PointType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::PointType |
Point Type.
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 76 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef DiscreteGaussianDerivativeImageFunction itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Self |
Standard "Self" typedef
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 55 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef ImageFunction<TInputImage, TOutput, TOutput> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Superclass |
Standard "Superclass" typedef
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 58 of file itkDiscreteGaussianDerivativeImageFunction.h.
| typedef FixedArray<double,itkGetStaticConstMacro(ImageDimension2)> itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::VarianceArrayType |
Arrays for native types.
Definition at line 86 of file itkDiscreteGaussianDerivativeImageFunction.h.
Member Enumeration Documentation
| enum itk::DiscreteGaussianDerivativeImageFunction::InterpolationModeType |
Interpolation modes.
Definition at line 106 of file itkDiscreteGaussianDerivativeImageFunction.h.
Constructor & Destructor Documentation
| itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::DiscreteGaussianDerivativeImageFunction | ( | ) | [protected] |
| itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::DiscreteGaussianDerivativeImageFunction | ( | const Self & | ) | [inline, protected] |
Definition at line 212 of file itkDiscreteGaussianDerivativeImageFunction.h.
| itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::~DiscreteGaussianDerivativeImageFunction | ( | ) | [inline, protected] |
Definition at line 214 of file itkDiscreteGaussianDerivativeImageFunction.h.
Member Function Documentation
| 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, TOutput, 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, TOutput, TOutput >::ConvertPointToContinousIndex | ( | const PointType & | point, | |
| ContinuousIndexType & | cindex | |||
| ) | const [inline, inherited] |
Convert point to continuous index
Definition at line 200 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 212 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 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 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::Evaluate | ( | const PointType & | point | ) | const [virtual] |
Evaluate the function at specified point.
| virtual OutputType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::EvaluateAtContinuousIndex | ( | const ContinuousIndexType & | index | ) | const [virtual] |
Evaluate the function at specified ContinousIndex position.
| 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 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::DiscreteGaussianDerivativeImageFunction< 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 114 of file itkImageFunction.h.
| virtual InterpolationModeType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetInterpolationMode | ( | ) | const [virtual] |
Set/Get the interpolation mode.
| virtual double itk::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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] |
- Returns:
- A reference to this objects MetaDataDictionary.
- Warning:
- This reference may be changed.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
| virtual bool itk::DiscreteGaussianDerivativeImageFunction< 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 const OrderArrayType itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetOrder | ( | ) | const [virtual] |
Set/Get the derivative order for an individual dimension.
| 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::GetUseImageSpacing | ( | ) | const [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
| virtual const VarianceArrayType itk::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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 207 of file itkDiscreteGaussianDerivativeImageFunction.h.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| 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.
| 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 181 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 157 of file itkImageFunction.h.
References HardConnectedComponentImageFilter::ImageDimension.
| 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 137 of file itkImageFunction.h.
References HardConnectedComponentImageFilter::ImageDimension.
| 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::operator= | ( | const Self & | ) | [inline, protected] |
Reimplemented from itk::ImageFunction< TInputImage, TOutput, TOutput >.
Definition at line 216 of file itkDiscreteGaussianDerivativeImageFunction.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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetInterpolationMode | ( | InterpolationModeType | _arg | ) | [virtual] |
Set/Get the interpolation mode.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetOrder | ( | unsigned int | order | ) | [inline, virtual] |
Convenience method for setting the order for all dimensions.
Definition at line 164 of file itkDiscreteGaussianDerivativeImageFunction.h.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetOrder | ( | OrderArrayType | _arg | ) | [virtual] |
Set/Get the derivative order for an individual dimension.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetOrder | ( | unsigned int | data[] | ) | [virtual] |
Set/Get the derivative order for an individual dimension.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetSigma | ( | const double | sigma | ) | [inline] |
Convenience method for setting the variance through the standard deviation.
Definition at line 142 of file itkDiscreteGaussianDerivativeImageFunction.h.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetUseImageSpacing | ( | bool | _arg | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< 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::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::SetVariance | ( | double | variance | ) | [inline, virtual] |
Convenience method for setting the variance for all dimensions.
Definition at line 132 of file itkDiscreteGaussianDerivativeImageFunction.h.
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::UseImageSpacingOff | ( | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
| virtual void itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::UseImageSpacingOn | ( | ) | [virtual] |
Set/Get the flag for using image spacing when calculating derivatives.
Member Data Documentation
const unsigned int itk::ImageFunction< TInputImage, TOutput, TOutput >::ImageDimension [static, inherited] |
Dimension underlying input image.
Definition at line 68 of file itkImageFunction.h.
const unsigned int itk::DiscreteGaussianDerivativeImageFunction< TInputImage, TOutput >::ImageDimension2 = InputImageType::ImageDimension [static] |
Dimension of the underlying image.
Definition at line 80 of file itkDiscreteGaussianDerivativeImageFunction.h.
ContinuousIndexType itk::ImageFunction< TInputImage, TOutput, TOutput >::m_EndContinuousIndex [protected, inherited] |
Definition at line 243 of file itkImageFunction.h.
IndexType itk::ImageFunction< TInputImage, TOutput, TOutput >::m_EndIndex [protected, inherited] |
Definition at line 241 of file itkImageFunction.h.
InputImageConstPointer itk::ImageFunction< TInputImage, TOutput, 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, TOutput, TOutput >::m_StartContinuousIndex [protected, inherited] |
Definition at line 242 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 240 of file itkImageFunction.h.
The documentation for this class was generated from the following file:
