fancynorm.H File Reference

#include "Util/log.H"
#include <string>

Include dependency graph for fancynorm.H:

Go to the source code of this file.

Functions
template<class T >
Image< T >	maxNormalize (const Image< T > &src, const T mi, const T ma, const MaxNormType normtyp=VCXNORM_DEFAULT, int nbiter=FANCYITER, const Image< float > *lrexcit=0)
	Generic implementation (select algorithm with normtyp).
template<class T >
Image< T >	maxNormalizeNone (const Image< T > &src, const T mi, const T ma)
	Specialized implementation (corresponds to VCXNORM_NONE).
template<class T >
Image< T >	maxNormalizeStd (const Image< T > &src, const T mi, const T ma)
	Specialized implementation (corresponds to VCXNORM_MAXNORM).
template<class T >
Image< T >	maxNormalizeFancyFast (const Image< T > &src, const T mi, const T ma, const int nbiter=FANCYITER)
	Specialized implementation (corresponds to VCXNORM_FANCYFAST).
template<class T >
Image< T >	maxNormalizeFancy (const Image< T > &src, const T mi, const T ma, const int nbiter=FANCYITER, const double weakness=1.0, const Image< float > *lrexcit=0)
	Specialized implementation (corresponds to VCXNORM_FANCY).
template<class T >
Image< T >	maxNormalizeFancyLandmark (const Image< T > &src, const T mi, const T ma, const int nbiter=FANCYITER)
	Specialized implementation (corresponds to VCXNORM_FANCY).
template<class T >
Image< T >	maxNormalizeLandmark (const Image< T > &src, const T mi, const T ma)
	Specialized implementation (corresponds to VCXNORM_LANDMARK).
template<class T >
int	findPeaks (const Image< T > &src, const T mi, const T ma, double &sum)
	to find number of peaks in the image (used in landmark detection)
template<class T >
float	goodness_map (const Image< T > &src)
	to find the goodness of a map (used in landmark detection)
template<class T >
Image< T >	maxNormalizeStdev (const Image< T > &src)
	Specialized implementation (corresponds to VCXNORM_STDEV).
template<class T >
Image< T >	maxNormalizeStdev0 (const Image< T > &src)
	Specialized implementation (corresponds to VCXNORM_STDEV0).
std::string	convertToString (const MaxNormType val)
	MaxNormType overload.
void	convertFromString (const std::string &str, MaxNormType &val)
	MaxNormType overload.
Variables
Additional parameters for fancynorm versions of the algorithm.
const int	FANCYITER = 5
	default number of iterations
const double	FANCYESIG = 2
	excitatory sigma as % of image size
const double	FANCYISIG = 25
	inhibitory sigma as % of image size
const double	FANCYCOEX = 0.5
	excitatory coefficient (strength)
const double	FANCYCOIN = 1.5
	inhibitory coefficient (strength)
const double	FANCYINHI = 2.0
	strength of global inhibition
const double	FANCYG = 2.1
	for sigmoid normalization
const double	FANCYH = 2.0
	for sigmoid normalization
const double	FANCYS = 1.0
	for sigmoid normalization
const int	LRLEVEL = 2
	for tuned long-range excitation:
Standard min/max bounds for maxNormalize().
const float	MAXNORMMAX = 10.0f
	upper bound for maxNormalize()
const float	MAXNORMMIN = 0.0f
	lower bound for maxNormalize()
const float	MAXNORMLANDMARK = 255.0f
	upper bound for maxNormalizeFancyLandmark()
Types of normalization (normtyp)
#define	NBMAXNORMTYPES   13
#define	VCXNORM_DEFAULT   VCXNORM_FANCY
enum	MaxNormType {   VCXNORM_NONE = 0, VCXNORM_MAXNORM = 1, VCXNORM_FANCY = 2, VCXNORM_FANCYFAST = 3,   VCXNORM_FANCYONE = 4, VCXNORM_FANCYLANDMARK = 5, VCXNORM_LANDMARK = 6, VCXNORM_FANCYWEAK = 7,   VCXNORM_IGNORE = 8, VCXNORM_SURPRISE = 9, VCXNORM_FANCYVWEAK = 10, VCXNORM_STDEV = 11,   VCXNORM_STDEV0 = 12 }
const char *	maxNormTypeName (const MaxNormType m)
	Get a name in clear for a given type.

---

Detailed Description

Intrafeature competition with maxNormalize().

Definition in file fancynorm.H.

---

Function Documentation

void convertFromString	(	const std::string &	str,
		MaxNormType &	val
	)

MaxNormType overload.

Format is "name" as defined by maxNormTypeName() in MaxNormTypes.H

Definition at line 638 of file fancynorm.C.

References maxNormTypeName(), and NBMAXNORMTYPES.

std::string convertToString

(

const MaxNormType

val

)

MaxNormType overload.

Format is "name" as defined by maxNormTypeName() in MaxNormTypes.H

Definition at line 632 of file fancynorm.C.

References maxNormTypeName().