#include <itkLaplacianImageFilter.h>

Inheritance diagram for itk::LaplacianImageFilter< TInputImage, TOutputImage >:

Collaboration diagram for itk::LaplacianImageFilter< TInputImage, TOutputImage >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef InputImageType::Pointer	InputImagePointer
typedef TInputImage	InputImageType
typedef TOutputImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef LaplacianImageFilter	Self
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual void	GenerateInputRequestedRegion () throw ( InvalidRequestedRegionError )
virtual const char *	GetNameOfClass () const
	typedef (Concept::SameDimension< InputImageDimension, ImageDimension >) SameDimensionCheck
	typedef (Concept::IsFloatingPoint< InputPixelType >) InputPixelTypeIsFloatingPointCheck
	typedef (Concept::IsFloatingPoint< OutputPixelType >) OutputPixelTypeIsFloatingPointCheck
virtual void	UseImageSpacingOff ()
virtual void	UseImageSpacingOn ()

virtual void	SetUseImageSpacing (bool _arg)
virtual bool	GetUseImageSpacing () const
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
void	GenerateData ()
	LaplacianImageFilter ()
void	PrintSelf (std::ostream &, Indent) const
virtual	~LaplacianImageFilter ()
Private Member Functions
	LaplacianImageFilter (const Self &)
void	operator= (const Self &)
Private Attributes
bool	m_UseImageSpacing
typedef TOutputImage::PixelType	OutputPixelType
typedef TOutputImage::InternalPixelType	OutputInternalPixelType
typedef TInputImage::PixelType	InputPixelType
typedef TInputImage::InternalPixelType	InputInternalPixelType
static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	ImageDimension = TOutputImage::ImageDimension

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::LaplacianImageFilter< TInputImage, TOutputImage >

This filter computes the Laplacian of a scalar-valued image. The Laplacian is an isotropic measure of the 2nd spatial derivative of an image. The Laplacian of an image highlights regions of rapid intensity change and is therefore often used for edge detection. Often, the Laplacian is applied to an image that has first been smoothed with a Gaussian filter in order to reduce its sensitivity to noise.

: The Laplacian at each pixel location is computed by convolution with the itk::LaplacianOperator.

Inputs and Outputs: The input to this filter is a scalar-valued itk::Image of arbitrary dimension. The output is a scalar-valued itk::Image.

Warning:: The pixel type of the input and output images must be of real type (float or double). ConceptChecking is used here to enforce the input pixel type. You will get a compilation error if the pixel type of the input and output images is not float or double.

See also:: Image; Neighborhood; NeighborhoodOperator; NeighborhoodIterator; LaplacianOperator

Wiki Examples:

All Examples

Compute the Laplacian of an image

Definition at line 62 of file itkLaplacianImageFilter.h.