fancynorm.C File Reference

#include "Image/fancynorm.H"
#include "Util/Assert.H"
#include "Image/Image.H"
#include "Image/ImageSet.H"
#include "Image/FilterOps.H"
#include "Image/Kernels.H"
#include "Image/MathOps.H"
#include "Image/ShapeOps.H"
#include "Image/Transforms.H"
#include "Image/PyramidOps.H"
#include "Util/StringConversions.H"
#include "Util/log.H"
#include "rutz/compat_cmath.h"
#include "rutz/trace.h"
#include <algorithm>
#include <cmath>
#include "inst/Image/fancynorm.I"

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Functions
template<class T >
Image< T >	maxNormalize (const Image< T > &src, const T mi, const T ma, const MaxNormType normtyp, int nbiter, const Image< float > *lrexcit)
	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)
	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, const double weakness, const Image< float > *lrexcit)
	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)
	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_activity)
	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.

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Detailed Description

Intrafeature competition with maxNormalize().

Definition in file fancynorm.C.

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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().