itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage > Class Template Reference

#include <itkBinaryImageToStatisticsLabelMapFilter.h>

Inheritance diagram for itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >:

Collaboration diagram for itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef FeatureImageType::ConstPointer	FeatureImageConstPointer
typedef FeatureImageType::PixelType	FeatureImagePixelType
typedef FeatureImageType::Pointer	FeatureImagePointer
typedef TFeatureImage	FeatureImageType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef BinaryImageToLabelMapFilter < InputImageType, OutputImageType >	LabelizerType
typedef OutputImageType::LabelObjectType	LabelObjectType
typedef StatisticsLabelMapFilter < OutputImageType, FeatureImageType >	LabelObjectValuatorType
typedef OutputImageType::ConstPointer	OutputImageConstPointer
typedef OutputImageType::PixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef OutputImageType::RegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef BinaryImageToStatisticsLabelMapFilter	Self
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
const FeatureImageType *	GetFeatureImage ()
virtual const char *	GetNameOfClass () const
void	SetFeatureImage (const TFeatureImage *input)
void	SetInput1 (const InputImageType *input)
void	SetInput2 (const FeatureImageType *input)
	typedef (Concept::EqualityComparable< InputImagePixelType >) InputEqualityComparableCheck
	typedef (Concept::Convertible< int, InputImagePixelType >) IntConvertibleToInputCheck
	typedef (Concept::OStreamWritable< InputImagePixelType >) InputOStreamWritableCheck
virtual void	SetFullyConnected (bool _arg)
virtual const bool &	GetFullyConnected ()
virtual void	FullyConnectedOn ()
virtual void	FullyConnectedOff ()
virtual void	SetOutputBackgroundValue (OutputImagePixelType _arg)
virtual OutputImagePixelType	GetOutputBackgroundValue () const
virtual void	SetInputForegroundValue (InputImagePixelType _arg)
virtual InputImagePixelType	GetInputForegroundValue () const
virtual void	SetComputeFeretDiameter (bool _arg)
virtual const bool &	GetComputeFeretDiameter ()
virtual void	ComputeFeretDiameterOn ()
virtual void	ComputeFeretDiameterOff ()
virtual void	SetComputePerimeter (bool _arg)
virtual const bool &	GetComputePerimeter ()
virtual void	ComputePerimeterOn ()
virtual void	ComputePerimeterOff ()
virtual void	SetComputeHistogram (bool _arg)
virtual const bool &	GetComputeHistogram ()
virtual void	ComputeHistogramOn ()
virtual void	ComputeHistogramOff ()
Static Public Member Functions
static Pointer	New ()
Static Public Attributes
static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TInputImage::ImageDimension
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Member Functions
void	EnlargeOutputRequestedRegion (DataObject *)
void	GenerateData ()
void	GenerateInputRequestedRegion ()
Private Member Functions
	BinaryImageToStatisticsLabelMapFilter (const Self &)
void	operator= (const Self &)
Private Attributes
bool	m_ComputeFeretDiameter
bool	m_ComputeHistogram
bool	m_ComputePerimeter
bool	m_FullyConnected
InputImagePixelType	m_InputForegroundValue
unsigned int	m_NumberOfBins
OutputImagePixelType	m_OutputBackgroundValue
virtual void	SetNumberOfBins (unsigned int _arg)
virtual const unsigned int &	GetNumberOfBins ()
	BinaryImageToStatisticsLabelMapFilter ()
	~BinaryImageToStatisticsLabelMapFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const

---

Detailed Description

template<class TInputImage, class TFeatureImage, class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>
class itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >

a convenient class to convert a binary image to a label map and valuate the statistics attributes at once

Author:

Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.

This implementation was taken from the Insight Journal paper: http://hdl.handle.net/1926/584 or http://www.insight-journal.org/browse/publication/176

See also:

StatisticsLabelObject, LabelStatisticsOpeningImageFilter, BinaryStatisticsOpeningImageFilter

Definition at line 42 of file itkBinaryImageToStatisticsLabelMapFilter.h.

---

Member Typedef Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef SmartPointer< const Self > itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 50 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef FeatureImageType::ConstPointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImageConstPointer

Definition at line 68 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef FeatureImageType::PixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImagePixelType

Definition at line 69 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef FeatureImageType::Pointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImagePointer

Definition at line 67 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef TFeatureImage itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImageType

Definition at line 66 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef InputImageType::ConstPointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 55 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef InputImageType::PixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImagePixelType

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 57 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef InputImageType::Pointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImagePointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 54 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef InputImageType::RegionType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageRegionType

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 56 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef TInputImage itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageType

Some convenient typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 53 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef BinaryImageToLabelMapFilter< InputImageType, OutputImageType > itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelizerType

Definition at line 80 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef OutputImageType::LabelObjectType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelObjectType

Definition at line 64 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef StatisticsLabelMapFilter< OutputImageType, FeatureImageType > itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelObjectValuatorType

Definition at line 81 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef OutputImageType::ConstPointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageConstPointer

Definition at line 61 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef OutputImageType::PixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImagePixelType

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 63 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef OutputImageType::Pointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImagePointer

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 60 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef OutputImageType::RegionType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageRegionType

Superclass typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 62 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef TOutputImage itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 59 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef SmartPointer< Self > itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 49 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef BinaryImageToStatisticsLabelMapFilter itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Self

Standard class typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 47 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

typedef ImageToImageFilter< TInputImage, TOutputImage > itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 48 of file itkBinaryImageToStatisticsLabelMapFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::BinaryImageToStatisticsLabelMapFilter

(

)

[protected]

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::~BinaryImageToStatisticsLabelMapFilter

(

)

[inline, protected]

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

Definition at line 192 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::BinaryImageToStatisticsLabelMapFilter

(

const Self &

)

[private]

---

Member Function Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputeFeretDiameterOff

(

)

[virtual]

Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputeFeretDiameterOn

(

)

[virtual]

Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputeHistogramOff

(

)

[virtual]

Set/Get whether the histogram should be attached to the label object or not. This option defaults to `true`, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputeHistogramOn

(

)

[virtual]

Set/Get whether the histogram should be attached to the label object or not. This option defaults to `true`, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputePerimeterOff

(

)

[virtual]

Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ComputePerimeterOn

(

)

[virtual]

Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual::itk::LightObject::Pointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::CreateAnother

(

void

)

const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::EnlargeOutputRequestedRegion

(

DataObject *

)

[protected, virtual]

BinaryImageToStatisticsLabelMapFilter will produce the entire output.

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FullyConnectedOff

(

)

[virtual]

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FullyConnectedOn

(

)

[virtual]

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GenerateData

(

)

[protected, virtual]

Single-threaded version of GenerateData. This filter delegates to GrayscaleGeodesicErodeImageFilter.

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GenerateInputRequestedRegion

(

)

[protected, virtual]

BinaryImageToStatisticsLabelMapFilter needs the entire input be available. Thus, it needs to provide an implementation of GenerateInputRequestedRegion().

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetComputeFeretDiameter

(

)

[virtual]

Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetComputeHistogram

(

)

[virtual]

Set/Get whether the histogram should be attached to the label object or not. This option defaults to `true`, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetComputePerimeter

(

)

[virtual]

Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

const FeatureImageType* itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage

(

)

[inline]

Get the feature image

Definition at line 155 of file itkBinaryImageToStatisticsLabelMapFilter.h.

References itk::ProcessObject::GetInput().

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual const bool& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFullyConnected

(

)

[virtual]

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual InputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetInputForegroundValue

(

)

const [virtual]

Set/Get the value used as "foreground" in the output image. Defaults to NumericTraits<PixelType>::max().

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual const char* itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetNameOfClass

(

)

const [virtual]

Runtime information support.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual const unsigned int& itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetNumberOfBins

(

)

[virtual]

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual OutputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetOutputBackgroundValue

(

)

const [virtual]

End concept checking Set/Get the value used as "background" in the output image. Defaults to NumericTraits<PixelType>::NonpositiveMin().

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

static Pointer itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::New

(

)

[static]

Standard New method.

Reimplemented from itk::Object.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::operator=

(

const Self &

)

[private]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const [protected, virtual]

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetComputeFeretDiameter

(

bool

_arg

)

[virtual]

Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetComputeHistogram

(

bool

_arg

)

[virtual]

Set/Get whether the histogram should be attached to the label object or not. This option defaults to `true`, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetComputePerimeter

(

bool

_arg

)

[virtual]

Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetFeatureImage

(

const TFeatureImage *

input

)

[inline]

Set the feature image

Definition at line 148 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetFullyConnected

(

bool

_arg

)

[virtual]

Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetInput1

(

const InputImageType *

input

)

[inline]

Set the input image

Definition at line 161 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetInput2

(

const FeatureImageType *

input

)

[inline]

Set the feature image

Definition at line 167 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetInputForegroundValue

(

InputImagePixelType

_arg

)

[virtual]

Set/Get the value used as "foreground" in the output image. Defaults to NumericTraits<PixelType>::max().

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetNumberOfBins

(

unsigned int

_arg

)

[virtual]

Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

virtual void itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::SetOutputBackgroundValue

(

OutputImagePixelType

_arg

)

[virtual]

End concept checking Set/Get the value used as "background" in the output image. Defaults to NumericTraits<PixelType>::NonpositiveMin().

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::typedef

(

Concept::EqualityComparable< InputImagePixelType >

)

Begin concept checking This class requires InputEqualityComparableCheck in the form of ( Concept::EqualityComparable< InputImagePixelType > )

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::typedef

(

Concept::Convertible< int, InputImagePixelType >

)

This class requires IntConvertibleToInputCheck in the form of ( Concept::Convertible< int, InputImagePixelType > )

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::typedef

(

Concept::OStreamWritable< InputImagePixelType >

)

This class requires InputOStreamWritableCheck in the form of ( Concept::OStreamWritable< InputImagePixelType > )

---

Member Data Documentation

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

const unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension [static]

ImageDimension constants

Definition at line 77 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

const unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageDimension = TInputImage::ImageDimension [static]

ImageDimension constants

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 73 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_ComputeFeretDiameter [private]

Definition at line 217 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_ComputeHistogram [private]

Definition at line 220 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_ComputePerimeter [private]

Definition at line 218 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

bool itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_FullyConnected [private]

Definition at line 214 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

InputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_InputForegroundValue [private]

Definition at line 216 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_NumberOfBins [private]

Definition at line 219 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

OutputImagePixelType itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::m_OutputBackgroundValue [private]

Definition at line 215 of file itkBinaryImageToStatisticsLabelMapFilter.h.

template<class TInputImage , class TFeatureImage , class TOutputImage = LabelMap< StatisticsLabelObject< SizeValueType, ::itk::GetImageDimension< TInputImage >::ImageDimension > >>

const unsigned int itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageDimension = TInputImage::ImageDimension [static]

ImageDimension constants

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 75 of file itkBinaryImageToStatisticsLabelMapFilter.h.

---

The documentation for this class was generated from the following file:

• itkBinaryImageToStatisticsLabelMapFilter.h