class IntensityProfileInformation : public RangeInformation

an intensity profile stored at a vertex

Inheritance:

Public Classes

enum	Criterion registration evaluation criterion DIFFERENCES minimize sum |x - y| LINEAR maximise [sum xy]^2 / [sum x^2 sum y^2] CORRELATION maximise [sum (x - E(x))(y - E(y))]^2 / [n^2 Var(x) Var(y)] PATTERN_INTENSITY maximise sum s^2 / (s^2 + (Idiff(i, j) - Idiff(v, w))^2)

Public Fields

static const TclString

informationName name stored in the Range Information

Public Methods

double	getMaxDistance (void) const get the maximum range distance
void	setMaxDistance (double r) set the maximum range distance
unsigned int	getSize (void) const returns number of sampled vector values
double	getOrigin (void) const returns profile origin
double	getIntensity (unsigned int i) const returns a sampled intensity value
double	getDistance (unsigned int i) const returns a sampled point distance
double	getIntensity (double d) const returns a linear interpolation of intensity value at given distance
Criterion	getCriterion (void) const returns registration evaluation criterion
void	setCriterion (Criterion criterion, double threshold = -1.0) set registration evaluation criterion
double	getThreshold () const return the threshold related to the image criterion
void	setThreshold (const double t) set the threshold related to the image criterion
void	setOrigin (const double o) set the profile origin
virtual bool	getPoint (const ImageLine& line, Vec3& point) computes attractive point in given image line using local information
static RangeInformation*	readIntensityProfile (GFInput &input) create an IntensityProfile Object from a file
virtual RangeInformation*	duplicate () create a copy of this IntensityProfile object
virtual void	writeInFile (GFOutput &output) write in a file the data stored in an Intensity Profile object

Public

	constructors IntensityProfileInformation (const ImageLine& line, double origin) constructs a profile representing given image line IntensityProfileInformation (unsigned int size, double origin, double *distance, double *intensity, Criterion criterion=DIFFERENCES, double threshold=50.0) constructs a profile from values array
	destructor ~IntensityProfileInformation () destroys profile intensity values

Private Fields

std::vector <element>	profile intensity values
double	origin profile origin
Criterion	criterion registration evaluation criterion
double	threshold criterion match threshold
double	range the half length of the image line to be matched with the stored profile

static const TclString informationName

name stored in the Range Information

enum Criterion

registration evaluation criterion

DIFFERENCES

minimize sum |x - y|

LINEAR

maximise [sum xy]^2 / [sum x^2 sum y^2]

CORRELATION

maximise [sum (x - E(x))(y - E(y))]^2 / [n^2 Var(x) Var(y)]

PATTERN_INTENSITY

maximise sum s^2 / (s^2 + (Idiff(i, j) - Idiff(v, w))^2)

struct element

an intensity element

element(double d, double v)

constructor

double distance

distance from profile origin

double value

intensity value at that point

std::vector <element> profile

intensity values

double origin

profile origin

Criterion criterion

registration evaluation criterion

double threshold

criterion match threshold

double range

the half length of the image line to be matched with the stored profile

constructors

IntensityProfileInformation(const ImageLine& line, double origin)

constructs a profile representing given image line

Parameters:

line - profile line in image
origin - profile origin

IntensityProfileInformation(unsigned int size, double origin, double *distance, double *intensity, Criterion criterion=DIFFERENCES, double threshold=50.0)

constructs a profile from values array

Parameters:

size - profile number of points
origin - profile origin
distance - size elements array of points distance
intensity - size elements array of points intensity
criterion - the criterion used to find the matching point
threshold -

destructor

~IntensityProfileInformation()

destroys profile intensity values

double getMaxDistance(void) const

get the maximum range distance

void setMaxDistance(double r)

set the maximum range distance

unsigned int getSize(void) const

returns number of sampled vector values

double getOrigin(void) const

returns profile origin

double getIntensity(unsigned int i) const

returns a sampled intensity value

Returns:

intensity value or 0 if index falls out of profile

Parameters:

i - sampled value index

double getDistance(unsigned int i) const

returns a sampled point distance

Returns:

ith point distance from profile origin or 0 if index falls out of profile

Parameters:

i - sampled value index

double getIntensity(double d) const

returns a linear interpolation of intensity value at given distance

Returns:

intensity value at distance d or 0.0 if d falls out of profile

Parameters:

d - euclidian point distance from profile origin

Criterion getCriterion(void) const

returns registration evaluation criterion

void setCriterion(Criterion criterion, double threshold = -1.0)

set registration evaluation criterion

Parameters:

criterion - criterion to use
threshold - criterion threshold

double getThreshold() const

return the threshold related to the image criterion

void setThreshold(const double t)

set the threshold related to the image criterion

void setOrigin(const double o)

set the profile origin

virtual bool getPoint(const ImageLine& line, Vec3& point)

computes attractive point in given image line using local information

Returns:

true if a point was found in image line, false otherwise

Parameters:

line - image line
point - returned attractive point

static RangeInformation* readIntensityProfile(GFInput &input)

create an IntensityProfile Object from a file

virtual RangeInformation* duplicate()

create a copy of this IntensityProfile object. This is used to apply the same algorithm to all vertices of a mesh

virtual void writeInFile(GFOutput &output)

write in a file the data stored in an Intensity Profile object

Parameters:

output - a pointer on a file

alphabetic index hierarchy of classes

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