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itk::CannySegmentationLevelSetImageFilter

itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > Class Template Reference

#include <itkCannySegmentationLevelSetImageFilter.h>

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Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
class itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >

Segments structures in images based on image features derived from pseudo-canny-edges.

IMPORTANT
The SegmentationLevelSetImageFilter class and the CannySegmentationLevelSetFunction class contain additional information necessary to the full understanding of how to use this filter.
OVERVIEW
This class is a level set method segmentation filter. It constructs a speed function which is designed to lock onto edges as detected by a Canny filter.
The CannySegmentationLevelSetImageFilter can be a tool for refining an existing segmentation, or it can be used to try to segment a region by itself. Like all other level-set based segmentation filters (see SegmentationLevelSetImageFilter), it works by first constructing a scalar speed term and a vector advection field based on edge features in the image. The level set front is then moved according to these two terms with the addition of a third curvature term to contol the smoothness of the solution.
The speed term is constructed as the Danielsson distance transform of the Canny edge image, as calculated by the CannyEdgeDetectionImageFilter. This scalar speed can be tuned in and out of the final evolution equation by setting the PropagationScaling parameter (a value of 0 removes the speed term).
The advection field term is constructed by minimizing Danielsson distance squared. i.e. $ \mbox{min} \int D^2 \Rightarrow D \nabla D $ . This term moves the level set down the gradient of the distance transform.
In practice, you may set the speed (propagation) term to zero if your initialization is already close to the edge you are interested in. If you are trying to segment a region by seeding with a small surface (blob, sphere) then you will likely want to add speed (propagation) to the equation so that the levelsets can expand along zero gradients. The relative influence of these two terms are controlled by the SetPropagationScaling and SetAdvectionScaling parameters.
INPUTS
This filter requires two inputs. The first input is a seed image. This seed image must contain an isosurface that you want to use as the seed for your segmentation. It can be a binary, graylevel, or floating point image. The only requirement is that it contain a closed isosurface that you will identify as the seed by setting the IsosurfaceValue parameter of the filter. For a binary image you will want to set your isosurface value halfway between your on and off values (i.e. for 0's and 1's, use an isosurface value of 0.5).
The second input is the feature image. This is the image from which the speed function will be calculated. For most applications, this is the image that you want to segment. The desired isosurface in your seed image should lie within the region of your feature image that you are trying to segment.
See SegmentationLevelSetImageFilter for more information on Inputs.
OUTPUTS
The filter outputs a single, scalar, real-valued image. Positive *values in the output image are inside the segmentated region and negative *values in the image are outside of the inside region. The zero crossings of *the image correspond to the position of the level set front.
See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.
PARAMETERS
There are five parameters important for controlling the behavior of this filter.
(1) Threshold. Sets the thresholding value of the Canny edge detection. See CannyEdgeDetectionImageFilter for more information.
(2) Variance. Controls the smoothing paramter of the gaussian filtering done during Canny edge detection.
(3) CurvatureScaling. Controls the degree to which curvature influences the evolution of the level set. Higher values relative to Propagation and Advection scalings will yield a smoother surface.
(4) PropagationScaling. Scales the propagation (speed) term of the level set equation. Set this term to zero to allow the level set to flow _only_ down the gradient of the distance transform.
(5) AdvectionScaling. Scales influence of the advection field relative to curvature and propagation terms.
See also:
SegmentationLevelSetImageFilter

CannySegmentationLevelSetFunction,

SparseFieldLevelSetImageFilter

Definition at line 129 of file itkCannySegmentationLevelSetImageFilter.h.

Public Types

typedef ::itk::CannySegmentationLevelSetFunction<
OutputImageType, FeatureImageType > 		CannyFunctionType
typedef SmartPointer< const
Self > 		ConstPointer
typedef Superclass::FeatureImageType FeatureImageType
typedef Superclass::IndexType IndexType
typedef Superclass::InputImageType InputImageType
typedef Superclass::OutputImageType OutputImageType
typedef SmartPointer< Self > Pointer
typedef CannyFunctionType::ScalarValueType ScalarValueType
typedef SegmentationLevelSetFunction<
OutputImageType, FeatureImageType > 		SegmentationFunctionType
typedef CannySegmentationLevelSetImageFilter Self
typedef Superclass::SpeedImageType SpeedImageType
typedef SegmentationLevelSetImageFilter<
TInputImage, TFeatureImage,
TOutputPixelType > 		Superclass
typedef Superclass::TimeStepType TimeStepType
typedef Superclass::ValueType ValueType
typedef Superclass::VectorImageType VectorImageType

Public Member Functions

virtual void AutoGenerateSpeedAdvectionOff ()
virtual void AutoGenerateSpeedAdvectionOn ()
Turn On Off the flag which
determines whether Positive
or Negative speed *terms will
cause surface expansion If
set to TRUE then negative
speed *terms will cause the
surface to expand and positive
speed terms will cause *the
surface to contract If set
to 		FALSE (default) then positive speed terms will *cause the surface to expand and negative speed terms will cause the *surface to contract.This method can be safely used to reverse the *expansion/contraction as appropriate to a particular application or data *set.*/virtual void SetReverseExpansionDirection(bool _arg)
void GenerateAdvectionImage ()
void GenerateSpeedImage ()
virtual const VectorImageType * GetAdvectionImage () const
ValueType GetAdvectionScaling () const
virtual bool GetAutoGenerateSpeedAdvection ()
OutputImageType * GetCannyImage (void)
ValueType GetCurvatureScaling () const
virtual FeatureImageType * GetFeatureImage ()
Set Get the feature image
to be used for speed function
of the level set *equation
Equivalent to calling Set 		GetInput (1,..)*/virtual void SetFeatureImage(const FeatureImageType *f)
double GetMaximumCurvatureTimeStep () const
unsigned int GetMaximumIterations ()
double GetMaximumPropagationTimeStep () const
virtual const char * GetNameOfClass () const
ValueType GetPropagationScaling () const
virtual bool GetReverseExpansionDirection ()
virtual SegmentationFunctionType * GetSegmentationFunction ()
virtual const SpeedImageType * GetSpeedImage () const
ScalarValueType GetThreshold () const
bool GetUseMinimalCurvature () const
bool GetUseNegativeFeatures () const
double GetVariance () const
 itkStaticConstMacro (InputImageDimension, unsigned int, TInputImage::ImageDimension)
virtual void ReverseExpansionDirectionOff ()
virtual void ReverseExpansionDirectionOn ()
void SetAdvectionImage (VectorImageType *v)
Set Get the scaling of the
advection field Setting the
FeatureScaling parameter will
override any existing value
for AdvectionScaling *void 		SetAdvectionScaling (ValueType v)
Combined scaling of the propagation
and advection speed terms
You should use either this
or Get SetPropagationScaling
and Get 		SetAdvectionScaling (if appropriate).See subclasses for details on when and whether to set these parameters.*/void SetFeatureScaling(ValueType v)
Set Get the scaling of the
curvature Use this parameter
to increase the influence
of curvature on the movement
of the surface Higher values
relative to Advection and
Propagation values will give
smoother surfaces *void 		SetCurvatureScaling (ValueType v)
virtual void SetInitialImage (InputImageType *f)
Set Get the maximum constraint
for the curvature term factor
in the time step *calculation
Changing this value from the
default is not recommended
or *necessary but could be
used to speed up the surface
evolution at the risk *of
creating an unstable solution
*void 		SetMaximumCurvatureTimeStep (double n)
Set Get the maximum number
of iterations allowed for
the solver This *prevents
infinite loops if a solution
bounces *void 		SetMaximumIterations (unsigned int i)
Set Get the maximum constraint
for the scalar vector term
factor of the time step *calculation
Changing this value from the
default is not recommended
or *necessary but could be
used to speed up the surface
evolution at the risk *of
creating an unstable solution
*void 		SetMaximumPropagationTimeStep (double n)
Set Get the scaling of the
propagation speed Setting
the FeatureScaling parameter
overrides any previous values
set for PropagationScaling
*void 		SetPropagationScaling (ValueType v)
virtual void SetSegmentationFunction (SegmentationFunctionType *s)
void SetSpeedImage (SpeedImageType *s)
Set the Threshold parameter
of the CannyEdgeDetectionImageFilter
used by the underlying level
set function *void 		SetThreshold (ScalarValueType v)
*void SetUseMinimalCurvature (bool b)
THIS METHOD IS DEPRECATED
AND SHOULD NOT BE USED Set
Get the value of the UseNegativeFeatures
flag This method is *deprecated
Use Set Get ReverseExpansionDirection
instead *void 		SetUseNegativeFeatures (bool u)
void SetUseNegativeFeaturesOff ()
THIS METHOD IS DEPRECATED
AND SHOULD NOT BE USED This
method reverses *the speed
function effectively changing
inside feature values to
*outside feature values and
vice versa *void 		SetUseNegativeFeaturesOn ()
Set the Variance parameter
of the CannyEdgeDetectionImageFilter
used by the underlying level
set function *void 		SetVariance (double v)
void UseMinimalCurvatureOff ()
void UseMinimalCurvatureOn ()

Static Public Member Functions

static Pointer New ()

Public Attributes

THIS METHOD IS DEPRECATED
AND SHOULD NOT BE USED This
method reverses *the speed
function 		direction
Turn On Off automatic generation
of Speed and Advection terms
when Update is called If set
to 		Off

Protected Member Functions

 CannySegmentationLevelSetImageFilter ()
void GenerateData ()
Overrides parent implementation
*virtual void 		InitializeIteration ()
virtual void PrintSelf (std::ostream &os, Indent indent) const
 ~CannySegmentationLevelSetImageFilter ()

Protected Attributes

bool m_AutoGenerateSpeedAdvection
bool m_ReverseExpansionDirection

Member Typedef Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef ::itk::CannySegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CannyFunctionType
 

Type of the segmentation function

Definition at line 148 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SmartPointer<const Self> itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ConstPointer
 

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 137 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::FeatureImageType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FeatureImageType
 

Local image typedefs

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 142 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::IndexType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::IndexType [inherited]
 

Definition at line 167 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::InputImageType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InputImageType [inherited]
 

Definition at line 169 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::OutputImageType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::OutputImageType
 

Output image type typedefs

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 141 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SmartPointer<Self> itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Pointer
 

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 136 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef CannyFunctionType::ScalarValueType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ScalarValueType
 

Definition at line 150 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SegmentationLevelSetFunction<OutputImageType, FeatureImageType> itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SegmentationFunctionType [inherited]
 

The generic level set function type

Definition at line 176 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef CannySegmentationLevelSetImageFilter itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Self
 

Standard class typedefs

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 134 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::SpeedImageType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SpeedImageType
 

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 144 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType > itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Superclass
 

Standard class typedefs

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 135 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::TimeStepType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::TimeStepType [inherited]
 

Definition at line 168 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::ValueType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ValueType
 

Inherited typedef from the superclass.

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 140 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
typedef Superclass::VectorImageType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::VectorImageType
 

The type used for the advection field

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 143 of file itkCannySegmentationLevelSetImageFilter.h.

Constructor & Destructor Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::~CannySegmentationLevelSetImageFilter (   )  [inline, protected]
 

Definition at line 188 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::CannySegmentationLevelSetImageFilter (   )  [protected]
 

Member Function Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOff (   )  [virtual, inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::AutoGenerateSpeedAdvectionOn (   )  [virtual, inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Turn On Off the flag which determines whether Positive or Negative speed* terms will cause surface expansion If set to TRUE then negative speed* terms will cause the surface to expand and positive speed terms will cause* the surface to contract If set to itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::FALSE (  default   )  [inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateAdvectionImage (   )  [inherited]
 

Allocate and calculate the advection term image in the SegmentationFunction object This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateData (   )  [protected, inherited]
 

Overridden from ProcessObject to set certain values before starting the finite difference solver and then create an appropriate output

Reimplemented in itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GenerateSpeedImage (   )  [inherited]
 

Allocate and calculate the speed term image in the SegmentationFunction object. This method is called automatically on filter execution unless AutoGenerateSpeedAdvection is set to Off.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual const VectorImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionImage (   )  const [inline, virtual, inherited]
 

Return a pointer to the image sampled as the advection term of the segmentation algorithm.

Definition at line 236 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAdvectionScaling (   )  const [inline, inherited]
 

Definition at line 348 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetAutoGenerateSpeedAdvection (   )  [virtual, inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
OutputImageType* itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCannyImage (  void   )  [inline]
 

Get the Canny image that was used to create the speed and advection images

Definition at line 176 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetCurvatureScaling (   )  const [inline, inherited]
 

Definition at line 365 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual FeatureImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage (   )  [inline, virtual, inherited]
 

Definition at line 206 of file itkSegmentationLevelSetImageFilter.h.

References itk::fem::this.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the feature image to be used for speed function of the level set* equation Equivalent to calling Set itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetInput (  1  ,
.. 
)  const [inline, inherited]
 

Definition at line 200 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumCurvatureTimeStep (   )  const [inline, inherited]
 

Definition at line 429 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
unsigned int itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumIterations (   )  [inline, inherited]
 

Definition at line 192 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
double itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetMaximumPropagationTimeStep (   )  const [inline, inherited]
 

Definition at line 447 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual const char* itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetNameOfClass (   )  const [virtual]
 

Run-time type information (and related methods).

Reimplemented from itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
ValueType itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetPropagationScaling (   )  const [inline, inherited]
 

Definition at line 332 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetReverseExpansionDirection (   )  [virtual, inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual SegmentationFunctionType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSegmentationFunction (   )  [inline, virtual, inherited]
 

Definition at line 413 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual const SpeedImageType* itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetSpeedImage (   )  const [inline, virtual, inherited]
 

Return a pointer to the image sampled as the speed term of the segmentation algorithm.

Definition at line 231 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
ScalarValueType itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetThreshold (   )  const [inline]
 

Definition at line 162 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseMinimalCurvature (   )  const [inline, inherited]
 

Definition at line 381 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetUseNegativeFeatures (   )  const [inline, inherited]
 

Definition at line 268 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
double itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetVariance (   )  const [inline]
 

Definition at line 170 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Overrides parent implementation* virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::InitializeIteration (   )  [inline, protected, virtual, inherited]
 

Reimplemented in itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

Definition at line 479 of file itkSegmentationLevelSetImageFilter.h.

References itk::fem::this.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::itkStaticConstMacro (  InputImageDimension  ,
unsigned  int,
TInputImage::ImageDimension 
)  [inherited]
 

Repeat definition from Superclass to satisfy Borland compiler quirks

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
static Pointer itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::New (   )  [static]
 

Method for creation through the object factory

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::PrintSelf (  std::ostream &  os,
Indent  indent
)  const [protected, virtual, inherited]
 

Reimplemented in itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::LaplacianSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, and itk::VectorThresholdSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOff (   )  [virtual, inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::ReverseExpansionDirectionOn (   )  [virtual, inherited]
 

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionImage (  VectorImageType *  v  )  [inline, inherited]
 

This function is for advanced applications. Set the image sampled as the advection term of this segmentation method. In general, the advection image is generated automatically by a subclass of this filter.

Definition at line 226 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the scaling of the advection field Setting the FeatureScaling parameter will override any existing value for AdvectionScaling* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling (  ValueType  v  )  [inline, inherited]
 

Definition at line 340 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Combined scaling of the propagation and advection speed terms You should use either this or Get SetPropagationScaling and Get itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetAdvectionScaling (  if  appropriate  )  [inline, inherited]
 

Definition at line 307 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the scaling of the curvature Use this parameter to increase the influence of curvature on the movement of the surface Higher values relative to Advection and Propagation values will give smoother surfaces* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetCurvatureScaling (  ValueType  v  )  [inline, inherited]
 

Definition at line 357 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetInitialImage (  InputImageType *  f  )  [inline, virtual, inherited]
 

Set/Get the initial level set model. Equivalent to calling SetInput(..)

Definition at line 212 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the maximum constraint for the curvature term factor in the time step* calculation Changing this value from the default is not recommended or* necessary but could be used to speed up the surface evolution at the risk* of creating an unstable solution* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumCurvatureTimeStep (  double  n  )  [inline, inherited]
 

Definition at line 421 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the maximum number of iterations allowed for the solver This* prevents infinite loops if a solution bounces* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumIterations (  unsigned int  i  )  [inline, inherited]
 

Definition at line 187 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the maximum constraint for the scalar vector term factor of the time step* calculation Changing this value from the default is not recommended or* necessary but could be used to speed up the surface evolution at the risk* of creating an unstable solution* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetMaximumPropagationTimeStep (  double  n  )  [inline, inherited]
 

Definition at line 439 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set Get the scaling of the propagation speed Setting the FeatureScaling parameter overrides any previous values set for PropagationScaling* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetPropagationScaling (  ValueType  v  )  [inline, inherited]
 

Definition at line 324 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
virtual void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSegmentationFunction (  SegmentationFunctionType *  s  )  [inline, virtual, inherited]
 

Set the segmentation function. In general, this should only be called by a subclass of this object. It is made public to allow itk::Command objects access. The method is inline to avoid a problem with the gcc 2.95 compiler matching the declaration with the definition.

Definition at line 401 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetSpeedImage (  SpeedImageType *  s  )  [inline, inherited]
 

This function is for advanced applications. Set the image sampled as the speed term of this segmentation method. In general, the speed image is generated automatically by a subclass of this filter.

Definition at line 220 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set the Threshold parameter of the CannyEdgeDetectionImageFilter used by the underlying level set function* void itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetThreshold (  ScalarValueType  v  )  [inline]
 

Definition at line 160 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseMinimalCurvature (  bool  b  )  [inline, inherited]
 

Definition at line 373 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED Set Get the value of the UseNegativeFeatures flag This method is* deprecated Use Set Get ReverseExpansionDirection instead* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeatures (  bool  u  )  [inline, inherited]
 

Definition at line 256 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOff (   )  [inline, inherited]
 

Definition at line 247 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED This method reverses* the speed function effectively changing inside feature values to* outside feature values and vice versa* void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetUseNegativeFeaturesOn (   )  [inline, inherited]
 

Definition at line 242 of file itkSegmentationLevelSetImageFilter.h.

References itkWarningMacro.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Set the Variance parameter of the CannyEdgeDetectionImageFilter used by the underlying level set function* void itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetVariance (  double  v  )  [inline]
 

Definition at line 168 of file itkCannySegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOff (   )  [inline, inherited]
 

Definition at line 389 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
void itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::UseMinimalCurvatureOn (   )  [inline, inherited]
 

Definition at line 385 of file itkSegmentationLevelSetImageFilter.h.

Member Data Documentation

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
THIS METHOD IS DEPRECATED AND SHOULD NOT BE USED This method reverses* the speed function itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::direction [inherited]
 

Definition at line 240 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_AutoGenerateSpeedAdvection [protected, inherited]
 

Flag to indicate whether Speed and Advection images are automatically generated when running the filter. Otherwise, a pointer to images must be explicitly set or GenerateSpeedImage() and/or GenerateAdvectionImage() called directly before updating the filter

Definition at line 500 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
bool itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::m_ReverseExpansionDirection [protected, inherited]
 

Flag which sets the inward/outward direction of propagation speed. See SetReverseExpansionDirection for more information.

Definition at line 494 of file itkSegmentationLevelSetImageFilter.h.

template<class TInputImage, class TFeatureImage, class TOutputPixelType = float>
Turn On Off automatic generation of Speed and Advection terms when Update is called If set to itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::Off [inherited]
 

Definition at line 292 of file itkSegmentationLevelSetImageFilter.h.

The documentation for this class was generated from the following file:
Generated at Sun Jul 9 19:10:35 2006 for ITK by doxygen 1.4.2 written by Dimitri van Heesch, © 1997-2000