lti::hessianFunctor::parameters Class Reference

The parameters for the class hessianFunctor. More...

#include <ltiHessianFunctor.h>

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List of all members.

Public Types
enum	eKernelType { Ando , Prewitt, Harris, Robinson, Kirsch, OGD2, Hessian, Classic }
Public Member Functions
	parameters ()
	parameters (const parameters &other)
	~parameters ()
const char *	getTypeName () const
parameters &	copy (const parameters &other)
parameters &	operator= (const parameters &other)
virtual functor::parameters *	clone () const
virtual bool	write (ioHandler &handler, const bool complete=true) const
virtual bool	read (ioHandler &handler, const bool complete=true)
Public Attributes
eKernelType	kernelType
int	kernelSize
float	kernelVariance

Detailed Description

The parameters for the class hessianFunctor.

Member Enumeration Documentation

enum lti::hessianFunctor::parameters::eKernelType

Possible types of kernels for the computation of the second derivative.

Enumerator:

Ando	convolution of the appropriate optimal gradient kernels by Ando (see lti::andoKernelXX)
Prewitt	convolution of Sobel kernels leads to 5x5 separable kernels (see lti::sobleKernelXX): XX and YY: /code [ 1 0 -2 0 1] [ 1 4 6 4 1] /endcode XY both: /code [ 1 2 0 -2 -1] /endcode
Harris	convolution of Prewitt kernels leads to 5x5 separable kernels (see lti::prewittKernelXX): XX and YY: /code [ 1 0 -2 0 1] [ 1 2 3 2 1] /endcode XY both: /code [ 1 1 0 -1 -1] /endcode
Robinson	Harris has 1D kernels of length nine for XX and YY and a separable 5x5 kernel for XY (see lti::harrisKernelXX): XX and YY: /code [ 4 4 1 -4 -10 -4 1 4 4] [] /endcode XY both: /code [-2 -1 0 1 2] /endcode.
Kirsch	convolution of Robinson kernels leads to 5x5 NON-separable kernels (see lti::robinsonKernelXX): XX and YY: /code +- -+ \| 1 2 -1 -2 1 \| \| 2 -2 -8 2 2 \| \| 3 0 0 0 3 \| \| 2 -2 -8 2 2 \| \| 1 2 -1 -2 1 \| +- -+ /endcode XY: /code +- -+ \| 1 2 1 0 -1 \| \| 2 -2 -4 0 -2 \| \| 1 -4 4 0 -1 \| \| 0 0 0 6 0 \| \| -1 -2 -1 0 -1 \| +- -+ /endcode
OGD2	convolution of Kirsch kernels leads to 5x5 NON-separable kernels (see lti::kirschKernelXX): XX and YY: /code +- -+ \| 9 18 -21 -30 25 \| \| 18 18 -51 -30 50 \| \| 27 36 -72 -60 75 \| \| 18 18 -51 -30 50 \| \| 9 18 -21 -30 25 \| +- -+ /endcode XY: /code +- -+ \| 9 18 3 -6 -15 \| \| 18 18 -12 -6 -30 \| \| 3 -12 -8 4 -5 \| \| -6 -6 4 34 10 \| \| -15 -30 -5 10 25 \| +- -+ /endcode
Hessian	Oriented Gaussian Derivative Kernels order 2. See lti::ogd2Kernel for description. Remember to set kernelSize and kernelVariance appropriately.
Classic	Kernels developed by Pablo Alvarado. See lti::hessianKernelXX for details. Classic kernels for second derivatives. Note that no actual kernels but a much faster manual implementation is used. The same is used for the XY direction of Hessian since the kernel is equal. Further, the 'same' kernels are obtained by convolution of lti::robertsKernelX and Y and a rotation of $\pi/4$ . These are the kernels: XX and YY are 1D: /code [1 -2 1] /endcode XY is 3x3 separable: /code +- -+ \| 1 0 -1 \| \| 0 0 0 \| \| -1 0 1 \| +- -+ /endcode

Constructor & Destructor Documentation

lti::hessianFunctor::parameters::parameters ( )

Default constructor.

Reimplemented from lti::transform::parameters.

lti::hessianFunctor::parameters::parameters ( const parameters & other )

Copy constructor.

Parameters:

other

the parameters object to be copied

Reimplemented from lti::transform::parameters.

lti::hessianFunctor::parameters::~parameters ( ) [virtual]

Destructor.

Reimplemented from lti::functor::parameters.

Member Function Documentation

virtual functor::parameters* lti::hessianFunctor::parameters::clone ( ) const [virtual]

Returns a pointer to a clone of the parameters.

Reimplemented from lti::transform::parameters.

parameters& lti::hessianFunctor::parameters::copy ( const parameters & other )

Copy the contents of a parameters object.

Parameters:

other

the parameters object to be copied

Returns:: a reference to this parameters object

Reimplemented from lti::transform::parameters.

const char* lti::hessianFunctor::parameters::getTypeName ( ) const [virtual]

Returns name of this type.

Reimplemented from lti::transform::parameters.

parameters& lti::hessianFunctor::parameters::operator= ( const parameters & other )

Copy the contents of a parameters object.

Parameters:

other

the parameters object to be copied

Returns:: a reference to this parameters object

virtual bool lti::hessianFunctor::parameters::read	(	ioHandler &	handler,
		const bool	complete = `true`
	)			`[virtual]`

Read the parameters from the given ioHandler.

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.

Returns:: true if write was successful

Reimplemented from lti::functor::parameters.

virtual bool lti::hessianFunctor::parameters::write	(	ioHandler &	handler,
		const bool	complete = `true`
	)			const `[virtual]`

Write the parameters in the given ioHandler.

Parameters:

	handler	the ioHandler to be used
	complete	if true (the default) the enclosing begin/end will be also written, otherwise only the data block will be written.