Gruen pattern matching algorithm. More...

#include <Gruen.h>

Inheritance diagram for Isis::Gruen:

Collaboration diagram for Isis::Gruen:

Classes
struct	ErrorCounter
	Struct that maintains error counts. More...

Public Types
enum	RegisterStatus { SuccessPixel, SuccessSubPixel, PatternChipNotEnoughValidData, FitChipNoData, FitChipToleranceNotMet, SurfaceModelNotEnoughValidData, SurfaceModelSolutionInvalid, SurfaceModelDistanceInvalid, PatternZScoreNotMet, AdaptiveAlgorithmFailed }
	Enumeration of the Register() method's return status. More...

enum	GradientFilterType { None, Sobel }
	Enumeration of the different types of gradient filters that can be applied to the pattern and search chips before matching them. More...

Public Member Functions
	Gruen ()
	Default constructor. More...

	Gruen (Pvl &pvl)
	Construct a Gruen search algorithm. More...

virtual	~Gruen ()
	Destructor. More...

BigInt	CallCount () const
	Returns the current call count. More...

void	WriteSubsearchChips (const QString &pattern="SubChip")
	Set up for writing subsearch for a a given registration call. More...

AffineTolerance	getAffineTolerance () const
	Return set of tolerances for affine convergence. More...

double	getSpiceConstraint () const
	Returns the SPICE tolerance constraint as read from config file. More...

double	getAffineConstraint () const
	Returns the Affine tolerance constraint as read from config file. More...

void	setAffineRadio (const AffineRadio &affrad)
	Sets initial chip transformation. More...

void	setAffineRadio ()
	Set affine parameters to defaults. More...

const AffineRadio &	getDefaultAffineRadio () const
	Returns default settings for Affine/Radiometric parameters. More...

const AffineRadio &	getAffineRadio () const
	Return current state of Affine/Radio state More...

MatchPoint	getLastMatch () const
	Returns the register state of the last successful Gruen match. More...

Chip *	PatternChip ()
	Return pointer to pattern chip. More...

Chip *	SearchChip ()
	Return pointer to search chip. More...

Chip *	FitChip ()
	Return pointer to fit chip. More...

Chip *	RegistrationPatternChip ()
	Return pointer to pattern chip used in registration. More...

Chip *	RegistrationSearchChip ()
	Return pointer to search chip used in registration. More...

Chip *	ReducedPatternChip ()
	Return pointer to reduced pattern chip. More...

Chip *	ReducedSearchChip ()
	Return pointer to reduced search chip. More...

Chip *	ReducedFitChip ()
	Return pointer to reduced fit chip. More...

void	SetSubPixelAccuracy (bool on)
	If the sub-pixel accuracy is enabled, the Register() method will attempt to match the pattern chip to the search chip at sub-pixel accuracy, otherwise it will be registered at whole pixel accuracy. More...

void	SetPatternValidPercent (const double percent)
	Set the amount of data in the pattern chip that must be valid. More...

void	SetSubsearchValidPercent (const double percent)
	Set the amount of data in the search chip's subchip that must be valid. More...

void	SetTolerance (double tolerance)
	Set the tolerance for an acceptable goodness of fit. More...

void	SetChipInterpolator (const QString &interpolator)
	Sets the Chip class interpolator type to be used to load pattern and search chips. More...

void	SetSurfaceModelWindowSize (int size)
	Set the surface model window size. More...

void	SetSurfaceModelDistanceTolerance (double distance)
	Set a distance the surface model solution is allowed to move away from the best whole pixel fit in the fit chip. More...

void	SetReductionFactor (int reductionFactor)
	Set the reduction factor used to speed up the pattern matching algorithm. More...

void	SetPatternZScoreMinimum (double minimum)
	Set the minimum pattern zscore. More...

void	SetGradientFilterType (const QString &gradientFilterType)
	Set the gradient filter type to be applied to the search and pattern chips. More...

QString	GradientFilterString () const

bool	SubPixelAccuracy ()
	Return whether this object will attempt to register to whole or sub-pixel accuracy. More...

int	ReductionFactor ()
	Return the reduction factor. More...

double	PatternValidPercent () const
	Return pattern chip valid percent. The default value is. More...

double	SubsearchValidPercent () const
	Return subsearch chip valid percent. More...

double	Tolerance () const
	Return match algorithm tolerance. More...

double	WindowSize () const
	Return window size. More...

double	DistanceTolerance () const
	Return distance tolerance. More...

void	Distance (double &sampDistance, double &lineDistance)
	Return the distance point moved. More...

AutoReg::RegisterStatus	Register ()
	Walk the pattern chip through the search chip to find the best registration. More...

bool	Success () const
	Return whether the match algorithm succeeded or not. More...

double	GoodnessOfFit () const
	Return the goodness of fit of the match algorithm. More...

bool	IsIdeal (double fit)
	Returns true if the fit parameter is arbitrarily close to the ideal fit value. More...

double	ChipSample () const
	Return the search chip sample that best matched. More...

double	ChipLine () const
	Return the search chip line that best matched. More...

double	CubeSample () const
	Return the search chip cube sample that best matched. More...

double	CubeLine () const
	Return the search chip cube line that best matched. More...

double	MinimumZScore () const
	Return minimumPatternZScore. More...

void	ZScores (double &score1, double &score2) const
	Return the ZScores of the pattern chip. More...

Pvl	RegistrationStatistics ()
	This returns the cumulative registration statistics. More...

virtual double	MostLenientTolerance ()
	Minimum tolerance specific to algorithm. More...

PvlGroup	RegTemplate ()
	This function returns the keywords that this object was created from. More...

PvlGroup	UpdatedTemplate ()
	Returns a PvlGroup containing the PvlKeywords of the parameters this object was most recently run with. More...

Protected Member Functions
virtual QString	AlgorithmName () const
	Returns the default name of the algorithm as Gruen. More...

int	algorithm (Chip &pattern, Chip &subsearch, const Radiometric &radio, BigInt &ptsUsed, double &resid, GMatrix &atai, AffineRadio &affrad)
	Real workhorse of the computational Gruen algorithm. More...

Analysis	errorAnalysis (const BigInt &npts, const double &resid, const GMatrix &atai)
	Compute the error analysis of convergent Gruen matrix. More...

virtual double	MatchAlgorithm (Chip &pattern, Chip &subsearch)
	Minimization of data set using Gruen algorithm. More...

virtual bool	CompareFits (double fit1, double fit2)
	This virtual method must return if the 1st fit is equal to or better than the second fit. More...

virtual double	IdealFit () const
	Returns the ideal fit for a perfect Gruen result. More...

virtual AutoReg::RegisterStatus	Registration (Chip &sChip, Chip &pChip, Chip &fChip, int startSamp, int startLine, int endSamp, int endLine, int bestSamp, int bestLine)
	Applies the adaptive Gruen algorithm to pattern and search chips. More...

virtual Pvl	AlgorithmStatistics (Pvl &pvl)
	Create Gruen error and processing statistics Pvl output. More...

void	SetChipSample (double sample)
	Sets the search chip subpixel sample that matches the pattern tack sample. More...

void	SetChipLine (double line)
	Sets the search chip subpixel line that matches the pattern tack line. More...

void	SetGoodnessOfFit (double fit)
	Sets the goodness of fit for adaptive algorithms. More...

void	Parse (Pvl &pvl)
	Initialize parameters in the AutoReg class using a PVL specification. More...

bool	SetSubpixelPosition (Chip &window)
	Set the search chip sample and line to subpixel values if possible. More...

Chip	Reduce (Chip &chip, int reductionFactor)
	This method reduces the given chip by the given reduction factor. More...

Protected Attributes
PvlObject	p_template
	AutoRegistration object that created this projection. More...

Private Types
enum	ErrorTypes { NotEnoughPoints = 1, CholeskyFailed = 2, EigenSolutionFailed = 3, AffineNotInvertable = 4, MaxIterationsExceeded = 5, RadShiftExceeded = 6, RadGainExceeded = 7, MaxEigenExceeded = 8, AffineDistExceeded = 9 }
	Error enumeration values. More...

typedef CollectorMap< int, ErrorCounter >	ErrorList
	Declaration of error count list. More...

Private Member Functions
QString	ConfKey (const DbProfile &conf, const QString &keyname, const QString &defval, int index=0) const
	Helper method to initialize parameters. More...

template<typename T >
T	ConfKey (const DbProfile &conf, const QString &keyname, const T &defval, int index=0) const
	Helper method to initialize parameters. More...

template<typename T >
PvlKeyword	ParameterKey (const QString &keyname, const T &value, const QString &unit="") const
	Keyword formatter for Gruen parameters. More...

PvlKeyword	ValidateKey (const QString keyname, const double &value, const QString &unit="") const
	Checks value of key, produces appropriate value. More...

ErrorList	initErrorList () const
	Creates an error list from know Gruen errors. More...

int	logError (int gerrno, const QString &gerrmsg)
	Logs a Gruen error. More...

PvlGroup	StatsLog () const
	Create a PvlGroup with the Gruen specific statistics. More...

PvlGroup	ParameterLog () const
	Create a PvlGroup with the Gruen specific parameters. More...

void	init (Pvl &pvl)
	Initialize the object. More...

Radiometric	getDefaultRadio () const
	Returns the default radiometric gain value. More...

double	DegreesOfFreedom (const int npts) const
	Returns number of degrees of freedom of points. More...

void	resetStats ()
	Reset Gruen statistics as needed. More...

GMatrix	Identity (const int &ndiag=3) const

GMatrix	Choldc (const GMatrix &a, GVector &p) const
	Compute Cholesky solution. More...

GMatrix	Cholsl (const GMatrix &a, const GVector &p, const GMatrix &b, const GMatrix &x) const
	Compute Cholesky solution matrix from correlation. More...

int	Jacobi (const GMatrix &a, GVector &evals, GMatrix &evecs, const int &MaxIters=50) const
	Compute the Jacobian of a covariance matrix. More...

void	EigenSort (GVector &evals, GMatrix &evecs) const
	Sort eigenvectors from highest to lowest. More...

BigInt	MinValidPoints (BigInt totalPoints) const
	Computes the number of minimum valid points. More...

bool	ValidPoints (BigInt totalPoints, BigInt nPoints) const
	Determines if number of points is valid percentage of all points. More...

int	CheckConstraints (MatchPoint &point)
	Test user limits/contraints after the algorithm has converged. More...

Coordinate	getChipUpdate (Chip &sChip, MatchPoint &point) const
	Compute the chip coordinate of the registered pixel. More...

AutoReg::RegisterStatus	Status (const MatchPoint &result)
	Returns the proper status given a Gruen result container. More...

void	Match (Chip &sChip, Chip &pChip, Chip &fChip, int startSamp, int endSamp, int startLine, int endLine)
	Empty copy constructor. More...

bool	ComputeChipZScore (Chip &chip)
	This method computes the given Chip's Z-Score. More...

void	Init ()
	Initialize AutoReg object private variables. More...

void	ApplyGradientFilter (Chip &chip)
	Run a gradient filter over the chip. More...

void	SobelGradient (Buffer &in, double &v)
	Compute a Sobel gradient based on an input buffer. More...

Static Private Member Functions
static Pvl &	getDefaultParameters ()
	Load default Gruen parameter file in $ISISROOT/appdata/templates. More...

Private Attributes
BigInt	m_callCount

QString	m_filePattern

ErrorList	m_errors

BigInt	m_unclassified

int	m_maxIters

int	m_nIters

BigInt	m_totalIterations

DbProfile	m_prof

double	m_transTol

double	m_scaleTol

double	m_shearTol

double	m_spiceTol

double	m_affineTol

double	m_shiftTol

double	m_rgainMinTol

double	m_rgainMaxTol

double	m_defGain

double	m_defShift

AffineRadio	m_defAffine

AffineRadio	m_affine

MatchPoint	m_point

Statistics	m_eigenStat

Statistics	m_iterStat

Statistics	m_shiftStat

Statistics	m_gainStat

Chip	p_patternChip
	Chip to be matched. More...

Chip	p_searchChip
	Chip to be searched for best registration. More...

Chip	p_fitChip
	Results from MatchAlgorithm() method. More...

Chip	p_gradientSearchChip
	Chip to be searched for best registration with gradient applied. More...

Chip	p_gradientPatternChip
	Chip to be matched with gradient applied. More...

Chip	p_reducedPatternChip
	Pattern Chip with reduction factor. More...

Chip	p_reducedSearchChip
	Search Chip with reduction factor. More...

Chip	p_reducedFitChip
	Fit Chip with reduction factor. More...

bool	p_subpixelAccuracy
	Indicates whether sub-pixel accuracy is enabled. Default is true. More...

int	p_totalRegistrations
	Registration Statistics Total keyword. More...

int	p_pixelSuccesses
	Registration statistics Success keyword. More...

int	p_subpixelSuccesses
	Registration statistics Success keyword. More...

int	p_patternChipNotEnoughValidDataCount
	Registration statistics PatternNotEnoughValidData keyword. More...

int	p_patternZScoreNotMetCount
	Registration statistics PatternZScoreNotMet keyword. More...

int	p_fitChipNoDataCount
	Registration statistics FitChipNoData keyword. More...

int	p_fitChipToleranceNotMetCount
	Registration statistics FitChipToleranceNotMet keyword. More...

int	p_surfaceModelNotEnoughValidDataCount
	Registration statistics SurfaceModelNotEnoughValidData keyword. More...

int	p_surfaceModelSolutionInvalidCount
	Registration statistics SurfaceModelSolutionInvalid keyword. More...

int	p_surfaceModelDistanceInvalidCount
	Registration statistics SurfaceModelDistanceInvalid keyword. More...

double	p_zScoreMin
	First Z-Score of pattern chip. More...

double	p_zScoreMax
	Second Z-Score of pattern chip. More...

double	p_minimumPatternZScore
	Minimum pattern Z-Score. More...

double	p_patternValidPercent
	Percentage of data in pattern chip that must be valid. More...

double	p_subsearchValidPercent
	Percentage of data in subsearch chip that must be valid. More...

double	p_chipSample
	Chip sample. More...

double	p_chipLine
	Chip line. More...

double	p_cubeSample
	Cube sample. More...

double	p_cubeLine
	Cube line. More...

double	p_goodnessOfFit
	Goodness of fit of the match algorithm. More...

double	p_tolerance
	Tolerance for acceptable goodness of fit in match algorithm. More...

int	p_windowSize
	Surface model window size. More...

double	p_distanceTolerance
	Maximum distance the surface model solution may be from the best whole pixel fit in the fit chip. More...

double	p_bestFit
	Goodness of fit for adaptive algorithms. More...

int	p_bestSamp
	Sample value of best fit. More...

int	p_bestLine
	Line value of best fit. More...

double	p_sampMovement
	The number of samples the point moved. More...

double	p_lineMovement
	The number of lines the point moved. More...

int	p_reduceFactor
	Reduction factor. More...

Isis::AutoReg::RegisterStatus	p_registrationStatus
	Registration status to be returned by Register(). More...

AutoReg::GradientFilterType	p_gradientFilterType
	Type of gradient filter to use before matching. More...

Detailed Description

Gruen pattern matching algorithm.

This class provides adaptive image (chip) registration using the AutoReg factory architecture. This algorithm uses an Affine transform to iteratively adjust the search chip at each iteration. Each iteration solves for new adjustments to the Affine transform until the 6 affine parameters fall below the tolerances as specified in AffineThreshHold1 and AffineThreshHold2.

This class minimizes the 6 specifiable Affine transform components of a 3x3 matrix. The three Affine components for X (sample) and Y (line) are scale, shear and translation. Gruen provides control over the maximum values these three components should attain in order for the registration to converge to a successful match. These limits are specified by AffineScaleTolerance, AffineShearTolerance and AffineTranslationTolerance. AffineShearTolerance is optional and if not specified, it defaults to the value of AffineScaleTolerance. These tolerances specify the maximum amount of translation pixels can be shifted between one Gruen iteration and another. For example, AffineTranslationTolerance = 0.2 means that a subsearch chip cannot move in sample or line direction more than 0.2 pixels in order to satisfy convergence. AffineScaleTolerance constrains the sample and line scale elements of the Affine transformation. And AffineShearTolerance constrains the sample and line shear elements of the Affine transformation. The scale and shear parameters are scaled by size of the Chip. The sample scale and shear Affine components maximum limit is computed as AffineScaleTolerance/((#Samples-1)/2) and AffineShearTolerance/((#Samples-1)/2). Likewise, the line scale and shear maximums are computed using #Lines in the preceding equation.

See also: MinimumGruen AdaptiveGruen AutoReg

Author: 2009-09-09 Kris Becker

History:: 2009-09-10 Kris Becker Changed AffineThreshHold1 to AffineTranslationTolerance and AffineThreshHold2 to AffineScaleTolerance. Added AffineShearTolerance. Added logging of Gruen parameters.

History:: 2009-09-11 Kris Becker Minor error in computation of radiometric shift

History:: 2010-06-14 Jeannie Walldren - Capitalized getTransform and setTransform to match changes in Chip class

History:: 2011-05-23 Kris Becker - Reworked major portions of implementation for a more modular support.

Definition at line 74 of file Gruen.h.

Member Typedef Documentation

◆ ErrorList

typedef CollectorMap<int, ErrorCounter> Isis::Gruen::ErrorList

private

Declaration of error count list.

Definition at line 182 of file Gruen.h.

Member Enumeration Documentation

◆ ErrorTypes

enum Isis::Gruen::ErrorTypes

private

Error enumeration values.

Definition at line 157 of file Gruen.h.

◆ GradientFilterType

enum Isis::AutoReg::GradientFilterType

inherited

Enumeration of the different types of gradient filters that can be applied to the pattern and search chips before matching them.

Enumerator
None	default, no gradient filter
Sobel	Sobel gradient filter.

Definition at line 196 of file AutoReg.h.

◆ RegisterStatus

enum Isis::AutoReg::RegisterStatus

inherited

Enumeration of the Register() method's return status.

All of the enumerations describe a failure to register except "Success". These status values can be used to provide the user with more specific feedback on why registration did not succeed.

Enumerator
SuccessPixel	Success registering to whole pixel.
SuccessSubPixel	Success registering to sub-pixel accuracy.
PatternChipNotEnoughValidData	Not enough valid data in pattern chip.
FitChipNoData	Fit chip did not have any valid data.
FitChipToleranceNotMet	Goodness of fit tolerance not satisfied.
SurfaceModelNotEnoughValidData	Not enough points to fit a surface model for sub-pixel accuracy.
SurfaceModelSolutionInvalid	Could not model surface for sub-pixel accuracy.
SurfaceModelDistanceInvalid	Surface model moves registration more than one pixel.
PatternZScoreNotMet	Pattern data max or min does not pass the z-score test.
AdaptiveAlgorithmFailed	Error occured in Adaptive algorithm.

Definition at line 179 of file AutoReg.h.

Constructor & Destructor Documentation

◆ Gruen() [1/2]

Isis::Gruen::Gruen ( )

Default constructor.

Default constructor sets up default Gruen parameters.

Author: Kris Becker - 5/22/2011

Definition at line 32 of file Gruen.cpp.

References getDefaultParameters(), and init().

◆ Gruen() [2/2]

Isis::Gruen::Gruen ( Pvl & pvl )

Construct a Gruen search algorithm.

This will construct a minimum difference search algorith. It is recommended that you use a AutoRegFactory class as opposed to this constructor. Direct construction is used commonly in stereo matching.

Parameters

pvl	A Pvl object that contains a valid automatic registration definition

Definition at line 47 of file Gruen.cpp.

References init().

◆ ~Gruen()

virtual Isis::Gruen::~Gruen ( )

inlinevirtual

Destructor.

Definition at line 82 of file Gruen.h.

Member Function Documentation

◆ algorithm()

int Isis::Gruen::algorithm	(	Chip &	pattern,
		Chip &	subsearch,
		const Radiometric &	radio,
		BigInt &	ptsUsed,
		double &	resid,
		GMatrix &	atai,
		AffineRadio &	affrad
	)

protected

Real workhorse of the computational Gruen algorithm.

This method is called for all registration requests and actually performs the registration of two chips.

The pattern chip is deemed constant. The subsearch chip is generally an extraction from the search chip that has had an affine transform applied to fill it.

At each iteration of the Gruen algorithm, the affine transform is incrementally updated based upon the results from this method. There are six affine parameters and two radiometric (shift and gain) parameters that are solved/computed here.

The algorithm itself is a first derivative computation of the subsearch chip with small radiometric adjustments applied to better tone match the two chips. This is intended to minimize the affine variability.

Parameters

pattern	Fixed pattern chip which subsearch is trying to match
subsearch	Affined extraction of the search chip

Returns: Returns 0 if successful, otherwise returns the error number associated with the problem encountered (see ErrorTypes)

Definition at line 156 of file Gruen.cpp.

References Choldc(), Cholsl(), Isis::Chip::GetValue(), Isis::Chip::IsValid(), Isis::Chip::Lines(), logError(), MinValidPoints(), Isis::Chip::Samples(), Isis::Chip::TackLine(), Isis::Chip::TackSample(), Isis::IException::toString(), and ValidPoints().

Referenced by MatchAlgorithm(), and Registration().

◆ AlgorithmName()

virtual QString Isis::Gruen::AlgorithmName ( ) const

inlineprotectedvirtual

Returns the default name of the algorithm as Gruen.

Implements Isis::AutoReg.

Reimplemented in Isis::AdaptiveGruen.

Definition at line 124 of file Gruen.h.

Referenced by AlgorithmStatistics().

◆ AlgorithmStatistics()

Pvl Isis::Gruen::AlgorithmStatistics ( Pvl & pvl )

protectedvirtual

Create Gruen error and processing statistics Pvl output.

This method generates two groups specific to the Gruen algorithm: The GruenFailures group which logs all the errors enountered during processing and the GruenStatistics group which logs selected statistics gathered during a registration run.

These groups are added to the AutoReg log output Pvl container for reporting to user/log files.

Parameters

pvl	Input AutoReg Pvl container to add results to

Returns: Pvl Output Pvl container with Gruen information

Reimplemented from Isis::AutoReg.

Definition at line 824 of file Gruen.cpp.

References Isis::PvlObject::addGroup(), AlgorithmName(), Isis::CollectorMap< K, T, ComparePolicy, RemovalPolicy, CopyPolicy >::getNth(), ParameterLog(), Isis::CollectorMap< K, T, ComparePolicy, RemovalPolicy, CopyPolicy >::size(), StatsLog(), and Isis::toString().

◆ ApplyGradientFilter()

void Isis::AutoReg::ApplyGradientFilter ( Chip & chip )

privateinherited

Run a gradient filter over the chip.

The type of filter is determined by the Gradient keyword in the Algorithm group.

Parameters

chip	the chip to be filtered

Exceptions

iException::Programmer - "Invalid Gradient type."

Definition at line 927 of file AutoReg.cpp.

References Isis::Buffer::DoubleBuffer(), Isis::Chip::Extract(), Isis::Chip::GetValue(), Isis::Chip::Lines(), Isis::Chip::Samples(), and Isis::Chip::SetValue().

◆ CallCount()

BigInt Isis::Gruen::CallCount ( ) const

inline

Returns the current call count.

Definition at line 85 of file Gruen.h.

◆ CheckConstraints()

int Isis::Gruen::CheckConstraints ( MatchPoint & point )

private

Test user limits/contraints after the algorithm has converged.

This method is invoked immediately after the Gruen algorithm has converged to test against user specified limits. This call is only valid in the adaptive context as much of the error checking is handled by AutoReg when using the non-adaptive algorithm.

This method tests for convergence, maximum iterations exceeded, tolerance limits of radiometric shift and gain and whether the eigenvalue of the solution exceeds the limit.

The result container is altered should a constraint not be meet which indicates the registration failed.

Parameters

point Container with point information

Returns: int Returns the status of the point. If all constraints tests are valid, 0 is return, otherwise returns error number.

Definition at line 1090 of file Gruen.cpp.

References Isis::Statistics::AddData(), getAffineConstraint(), Isis::MatchPoint::getAffinePoint(), Isis::Coordinate::getDistance(), logError(), and Isis::AutoReg::Tolerance().

Referenced by Registration().

◆ ChipLine()

double Isis::AutoReg::ChipLine ( ) const

inlineinherited

Return the search chip line that best matched.

Definition at line 335 of file AutoReg.h.

References Isis::AutoReg::p_chipLine.

◆ ChipSample()

double Isis::AutoReg::ChipSample ( ) const

inlineinherited

Return the search chip sample that best matched.

Definition at line 330 of file AutoReg.h.

References Isis::AutoReg::p_chipSample.

◆ Choldc()

GMatrix Isis::Gruen::Choldc	(	const GMatrix &	a,
		GVector &	p
	)		const

private

Compute Cholesky solution.

Author: kbecker (5/15/2011)

Parameters

a
p

Returns: Gruen::GMatrix

Definition at line 341 of file Gruen.cpp.

References Isis::IException::Programmer.

Referenced by algorithm().

◆ Cholsl()

GMatrix Isis::Gruen::Cholsl	(	const GMatrix &	a,
		const GVector &	p,
		const GMatrix &	b,
		const GMatrix &	x
	)		const

private

Compute Cholesky solution matrix from correlation.

Author: kbecker (5/15/2011)

Parameters

a
p
b
x

Returns: Gruen::GMatrix

Definition at line 383 of file Gruen.cpp.

Referenced by algorithm().

◆ CompareFits()

bool Isis::Gruen::CompareFits	(	double	fit1,
		double	fit2
	)

protectedvirtual

This virtual method must return if the 1st fit is equal to or better than the second fit.

Parameters

fit1	1st goodness of fit
fit2	2nd goodness of fit

Reimplemented from Isis::AutoReg.

Definition at line 636 of file Gruen.cpp.

◆ ComputeChipZScore()

bool Isis::AutoReg::ComputeChipZScore ( Chip & chip )

privateinherited

This method computes the given Chip's Z-Score.

If this value is less than the minimum pattern Z-Score or greater than the negative of the minimum pattern Z-Score, the method will return false. Otherwise, it returns true.

Parameters

chip	Chip object whose Z-Score is calculated

Returns: bool Indicates whether Z-Score calculated lies between the minimum and Pattern Z-Score and its negative.

Definition at line 895 of file AutoReg.cpp.

References Isis::Statistics::AddData(), Isis::Chip::GetValue(), Isis::Chip::Lines(), Isis::Statistics::Maximum(), Isis::Statistics::Minimum(), Isis::Chip::Samples(), and Isis::Statistics::ZScore().

◆ ConfKey() [1/2]

QString Isis::Gruen::ConfKey	(	const DbProfile &	conf,
		const QString &	keyname,
		const QString &	defval,
		int	index = `0`
	)		const

inlineprivate

Helper method to initialize parameters.

This method will check the existance of a keyword and extract the value

if it exists to the passed parameter (type). If it doesn't exist, the default values is returned.

Parameters

T	Templated variable type
conf	Parameter profile container
keyname	Name of keyword to get a value from
defval	Default value it keyword/value doesn't exist
index	Optional index of the value for keyword arrays

Returns: T Return type

Definition at line 241 of file Gruen.h.

References Isis::DbProfile::count(), Isis::DbProfile::exists(), Isis::IString::ToQt(), and Isis::DbProfile::value().

Referenced by init().

◆ ConfKey() [2/2]

template<typename T >

T Isis::Gruen::ConfKey	(	const DbProfile &	conf,
		const QString &	keyname,
		const T &	defval,
		int	index = `0`
	)		const

inlineprivate

Helper method to initialize parameters.

This method will check the existance of a keyword and extract the value

if it exists to the passed parameter (type). If it doesn't exist, the default values is returned.

Parameters

T	Templated variable type
conf	Parameter profile container
keyname	Name of keyword to get a value from
defval	Default value it keyword/value doesn't exist
index	Optional index of the value for keyword arrays

Returns: T Return type

Definition at line 272 of file Gruen.h.

References Isis::DbProfile::count(), Isis::DbProfile::exists(), and Isis::DbProfile::value().

◆ CubeLine()

double Isis::AutoReg::CubeLine ( ) const

inlineinherited

Return the search chip cube line that best matched.

Definition at line 345 of file AutoReg.h.

References Isis::AutoReg::p_cubeLine.

Referenced by Isis::SmtkMatcher::makeRegisteredPoint(), Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ CubeSample()

double Isis::AutoReg::CubeSample ( ) const

inlineinherited

Return the search chip cube sample that best matched.

Definition at line 340 of file AutoReg.h.

References Isis::AutoReg::p_cubeSample.

Referenced by Isis::SmtkMatcher::makeRegisteredPoint(), Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ DegreesOfFreedom()

double Isis::Gruen::DegreesOfFreedom ( const int npts ) const

inlineprivate

Returns number of degrees of freedom of points.

Definition at line 347 of file Gruen.h.

Referenced by errorAnalysis().

◆ Distance()

void Isis::AutoReg::Distance	(	double &	sampDistance,
		double &	lineDistance
	)

inlineinherited

Return the distance point moved.

Parameters

sampDistance	Sample movement
lineDistance	Line movement

Definition at line 310 of file AutoReg.h.

References Isis::AutoReg::p_lineMovement, and Isis::AutoReg::p_sampMovement.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ DistanceTolerance()

double Isis::AutoReg::DistanceTolerance ( ) const

inlineinherited

Return distance tolerance.

Definition at line 300 of file AutoReg.h.

References Isis::AutoReg::p_distanceTolerance.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ EigenSort()

void Isis::Gruen::EigenSort	(	GVector &	evals,
		GMatrix &	evecs
	)		const

private

Sort eigenvectors from highest to lowest.

Author: kbecker (5/15/2011)

Parameters

evals
evecs

Definition at line 556 of file Gruen.cpp.

Referenced by errorAnalysis().

◆ errorAnalysis()

Analysis Isis::Gruen::errorAnalysis	(	const BigInt &	npts,
		const double &	resid,
		const GMatrix &	atai
	)

protected

Compute the error analysis of convergent Gruen matrix.

Author: kbecker (5/15/2011)

Parameters

npts
resid
atai

Returns: Analysis

Definition at line 289 of file Gruen.cpp.

References DegreesOfFreedom(), EigenSort(), Jacobi(), logError(), and Isis::IException::toString().

Referenced by MatchAlgorithm(), and Registration().

◆ FitChip()

Chip* Isis::AutoReg::FitChip ( )

inlineinherited

Return pointer to fit chip.

Definition at line 212 of file AutoReg.h.

References Isis::AutoReg::p_fitChip.

Referenced by Isis::ControlMeasureEditWidget::saveChips(), and Isis::ControlPointEdit::saveChips().

◆ getAffineConstraint()

double Isis::Gruen::getAffineConstraint ( ) const

inline

Returns the Affine tolerance constraint as read from config file.

Definition at line 95 of file Gruen.h.

Referenced by CheckConstraints().

◆ getAffineRadio()

const AffineRadio& Isis::Gruen::getAffineRadio ( ) const

inline

Return current state of Affine/Radio state

Definition at line 104 of file Gruen.h.

Referenced by init().

◆ getAffineTolerance()

AffineTolerance Isis::Gruen::getAffineTolerance ( ) const

Return set of tolerances for affine convergence.

Author: kbecker (5/15/2011)

Returns: Tolerance Affine tolerances from PVL setup

Definition at line 1066 of file Gruen.cpp.

Referenced by Registration().

◆ getChipUpdate()

Coordinate Isis::Gruen::getChipUpdate	(	Chip &	chip,
		MatchPoint &	point
	)		const

private

Compute the chip coordinate of the registered pixel.

Author: Kris Becker - 5/19/2011

Parameters

chip	Chip to update with registration parameters
point	Registration match information

Returns: Coordinate

Definition at line 1141 of file Gruen.cpp.

References Isis::Chip::ChipLine(), Isis::Chip::ChipSample(), Isis::Chip::CubeLine(), Isis::Chip::CubeSample(), Isis::MatchPoint::getAffinePoint(), Isis::Chip::SetChipPosition(), Isis::Chip::TackCube(), Isis::Chip::TackLine(), and Isis::Chip::TackSample().

Referenced by Registration().

◆ getDefaultAffineRadio()

const AffineRadio& Isis::Gruen::getDefaultAffineRadio ( ) const

inline

Returns default settings for Affine/Radiometric parameters.

Definition at line 101 of file Gruen.h.

Referenced by setAffineRadio().

◆ getDefaultParameters()

Pvl & Isis::Gruen::getDefaultParameters ( )

staticprivate

Load default Gruen parameter file in $ISISROOT/appdata/templates.

Author: Kris Becker - 5/22/2011

Returns: Pvl Contents of default file

Definition at line 803 of file Gruen.cpp.

Referenced by Gruen().

◆ getDefaultRadio()

Radiometric Isis::Gruen::getDefaultRadio ( ) const

inlineprivate

Returns the default radiometric gain value.

Definition at line 342 of file Gruen.h.

Referenced by init(), and MatchAlgorithm().

◆ getLastMatch()

MatchPoint Isis::Gruen::getLastMatch ( ) const

inline

Returns the register state of the last successful Gruen match.

This method returns the full match condition of the last call to Gruen Register function that was successful.

BEWARE: This is only valid if Register returns successfully! This is due to AutoReg returning conditions that occur prior to the actual Gruen algorithm being called.

Author: Kris Becker - 6/4/2011

Returns: MatchPoint

Definition at line 120 of file Gruen.h.

Referenced by Isis::SmtkMatcher::makeRegisteredPoint().

◆ getSpiceConstraint()

double Isis::Gruen::getSpiceConstraint ( ) const

inline

Returns the SPICE tolerance constraint as read from config file.

Definition at line 92 of file Gruen.h.

Referenced by Isis::SmtkMatcher::makeRegisteredPoint().

◆ GoodnessOfFit()

double Isis::AutoReg::GoodnessOfFit ( ) const

inlineinherited

Return the goodness of fit of the match algorithm.

Definition at line 323 of file AutoReg.h.

References Isis::AutoReg::p_goodnessOfFit.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), Isis::ControlPointEdit::registerPoint(), Isis::ControlMeasureEditWidget::saveMeasure(), and Isis::ControlPointEdit::saveMeasure().

◆ IdealFit()

virtual double Isis::Gruen::IdealFit ( ) const

inlineprotectedvirtual

Returns the ideal fit for a perfect Gruen result.

Implements Isis::AutoReg.

Definition at line 140 of file Gruen.h.

◆ Init()

void Isis::AutoReg::Init ( )

privateinherited

Initialize AutoReg object private variables.

Fill fit chip, reduced pattern chip and reduced search chip with nulls.

Definition at line 114 of file AutoReg.cpp.

References Isis::Null.

◆ init()

void Isis::Gruen::init ( Pvl & pvl )

private

Initialize the object.

This method reads from the Algorithm group (if it exists) to set variables used in this object. If not all the keywords are present, then appropriate values are provided.

Parameters

PvlObject &pvl PVL object/groups that contain algorithm parameters

Definition at line 967 of file Gruen.cpp.

References ConfKey(), Isis::PvlObject::findGroup(), getAffineRadio(), getDefaultRadio(), Isis::PvlObject::hasObject(), initErrorList(), Isis::DbProfile::Name(), Isis::DbProfile::setName(), Isis::toDouble(), Isis::toInt(), Isis::toString(), and Isis::PvlObject::Traverse.

Referenced by Gruen().

◆ initErrorList()

Gruen::ErrorList Isis::Gruen::initErrorList ( ) const

private

Creates an error list from know Gruen errors.

This method creates the list of known/expected Gruen errors that might occur during processing. This should be closely maintained with the ErrorTypes enum list.

Returns: Gruen::ErrorList Error list container

Definition at line 922 of file Gruen.cpp.

References Isis::CollectorMap< K, T, ComparePolicy, RemovalPolicy, CopyPolicy >::add().

Referenced by init().

◆ IsIdeal()

bool Isis::AutoReg::IsIdeal ( double fit )

inlineinherited

Returns true if the fit parameter is arbitrarily close to the ideal fit value.

Parameters

fit	Fit value to be compared to the ideal fit

Returns: bool Indicates whether the fit is ideal

Definition at line 1162 of file AutoReg.cpp.

◆ Jacobi()

int Isis::Gruen::Jacobi	(	const GMatrix &	a,
		GVector &	evals,
		GMatrix &	evecs,
		const int &	MaxIters = `50`
	)		const

private

Compute the Jacobian of a covariance matrix.

Author: kbecker (5/15/2011)

Parameters

a
evals
evecs
MaxIters

Returns: int

Definition at line 427 of file Gruen.cpp.

References Isis::IException::Programmer.

Referenced by errorAnalysis().

◆ logError()

int Isis::Gruen::logError	(	int	gerrno,
		const QString &	gerrmsg
	)

private

Logs a Gruen error.

A running count of errors that occur is maintained through this method. If an error occurs that is not in the list, it will also be counted. This would indicate that a new error condition has occured and needs to be added to the list.

Parameters

gerrno	One of the errors as defined by GruenError enum
gerrmsg	Optional message although it is ignored in this context

Definition at line 948 of file Gruen.cpp.

References Isis::CollectorMap< K, T, ComparePolicy, RemovalPolicy, CopyPolicy >::exists(), and Isis::CollectorMap< K, T, ComparePolicy, RemovalPolicy, CopyPolicy >::get().

Referenced by algorithm(), CheckConstraints(), errorAnalysis(), and Registration().

◆ Match()

void Isis::AutoReg::Match	(	Chip &	sChip,
		Chip &	pChip,
		Chip &	fChip,
		int	startSamp,
		int	endSamp,
		int	startLine,
		int	endLine
	)

privateinherited

Empty copy constructor.

Here we walk from start sample to end sample and start line to end line, and compare the pattern chip against the search chip to find the best line/sample.

Parameters

original	AutoReg object
sChip	Search chip
pChip	Pattern chip
fChip	Fit chip
startSamp	Start sample
endSamp	End sample
startLine	Start line
endLine	End line

Exceptions

iException::Programmer - "StartSample = EndSample and StartLine = EndLine."

Definition at line 1031 of file AutoReg.cpp.

References Isis::Chip::Extract(), Isis::Chip::IsValid(), Isis::Chip::Lines(), Isis::Null, Isis::Chip::Samples(), Isis::Chip::SetSize(), and Isis::Chip::SetValue().

◆ MatchAlgorithm()

double Isis::Gruen::MatchAlgorithm	(	Chip &	pattern,
		Chip &	subsearch
	)

protectedvirtual

Minimization of data set using Gruen algorithm.

This is a very minimal application of the Gruen algorithm that provides the ability to use it in a non-adaptive capacity. This method processes two chips of the same size, pattern and subsearch. The subsearch has typically been extracted in the same manner as the MinimumDifference or MaximumCorrelation routines are utilized.

It simply applies the algorithm to the current state of the two chips, computes the error analysis on it and returns the eigen vector solution as an indication of chip registration integrity.

Note that in this mode, most all the parameters found in the definition file that apply to the adaptive mode are ignored when utilizing the algorithm in this fashion.

Parameters

pattern	[in] A Chip object usually containing an nxm area of a cube. Must be the same diminsions as subsearch.
subsearch	[in] A Chip object usually containing an nxm area of a cube. Must be the same dimensions as pattern. This is normally a subarea of a larger portion of the image.

Returns: The square root of the eigen values of DN differences OR Isis::NULL if the Gruen algorithm fails.

Implements Isis::AutoReg.

Definition at line 608 of file Gruen.cpp.

References algorithm(), errorAnalysis(), getDefaultRadio(), Isis::Analysis::getEigen(), and Isis::Null.

◆ MinimumZScore()

double Isis::AutoReg::MinimumZScore ( ) const

inlineinherited

Return minimumPatternZScore.

Definition at line 350 of file AutoReg.h.

References Isis::AutoReg::p_minimumPatternZScore.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ MinValidPoints()

BigInt Isis::Gruen::MinValidPoints ( BigInt totalPoints ) const

private

Computes the number of minimum valid points.

This method uses the pattern valid percent as specified in the registration config file (or the programmer) to compute the minimum number of valid points from the total.

Parameters

totalPoints Assumed to be total number of relavent pixels in a chip

Returns: BigInt Minimum number of valid points determined from the percentage specified by user/programmer.

Definition at line 1038 of file Gruen.cpp.

References Isis::AutoReg::PatternValidPercent().

Referenced by algorithm(), and ValidPoints().

◆ MostLenientTolerance()

virtual double Isis::AutoReg::MostLenientTolerance ( )

inlinevirtualinherited

Minimum tolerance specific to algorithm.

Reimplemented in Isis::MinimumDifference.

Definition at line 370 of file AutoReg.h.

◆ ParameterKey()

template<typename T >

PvlKeyword Isis::Gruen::ParameterKey	(	const QString &	keyname,
		const T &	value,
		const QString &	unit = `""`
	)		const

inlineprivate

Keyword formatter for Gruen parameters.

Constructs a keyword with actual user/programmer values if provided, otherwise sets the value to "Unbounded".

Parameters

T	Type of value to record
keyname	Name of keyword to create
value	Value to set keyword to if in profile
unit	Optional unit value

Returns: PvlKeyword Constructed keyword for key/value

Definition at line 301 of file Gruen.h.

References Isis::DbProfile::exists(), and ValidateKey().

Referenced by ParameterLog().

◆ ParameterLog()

PvlGroup Isis::Gruen::ParameterLog ( ) const

private

Create a PvlGroup with the Gruen specific parameters.

This method generates a PvlGroup of Gruen algorithm parameters. This routine is called from the AutoReg algorithm specific statistics routine and augments the AutoReg log output.

Returns: PvlGroup Group containing Pvl keywords of Gruen parameters

Definition at line 890 of file Gruen.cpp.

References ParameterKey(), Isis::toString(), and ValidateKey().

Referenced by AlgorithmStatistics().

◆ Parse()

void Isis::AutoReg::Parse ( Pvl & pvl )

protectedinherited

Initialize parameters in the AutoReg class using a PVL specification.

An example of the PVL required for this is:

Object = AutoRegistration
  Group = Algorithm
    Name      = MaximumCorrelation
    Tolerance = 0.7
  EndGroup
 
  Group = PatternChip
    Samples = 21
    Lines   = 21
  EndGroup
 
  Group = SearchChip
    Samples = 51
    Lines = 51
  EndGroup
EndObject

There are many other options that can be set via the pvl and are described in other documentation (see below).

See also: patternMatch.doc under the coreg application

Parameters

pvl	The pvl object containing the specification

Exceptions

iException::User "Improper format for AutoReg PVL."

History:: 2010-06-15 Jeannie Walldren - Added ability to read ChipInterpolator keyword from the Algorithm group.

History:: 2010-07-20 Jeannie Walldren - Added ability to read search sub chip valid percent

Definition at line 194 of file AutoReg.cpp.

References Isis::PvlContainer::fileName(), Isis::PvlObject::findGroup(), Isis::PvlObject::findObject(), Isis::PvlObject::hasGroup(), Isis::PvlContainer::hasKeyword(), Isis::ValidMaximum, and Isis::ValidMinimum.

◆ PatternChip()

Chip* Isis::AutoReg::PatternChip ( )

inlineinherited

Return pointer to pattern chip.

Definition at line 202 of file AutoReg.h.

References Isis::AutoReg::p_patternChip.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ PatternValidPercent()

double Isis::AutoReg::PatternValidPercent ( ) const

inlineinherited

Return pattern chip valid percent. The default value is.

Definition at line 280 of file AutoReg.h.

References Isis::AutoReg::p_patternValidPercent.

Referenced by Isis::MaximumCorrelation::MatchAlgorithm(), MinValidPoints(), Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ Reduce()

Chip Isis::AutoReg::Reduce	(	Chip &	chip,
		int	reductionFactor
	)

protectedinherited

This method reduces the given chip by the given reduction factor.

Used to speed up the match algorithm.

Parameters

chip	Chip to be reduced
reductionFactor	Factor by which to reduce chip.

Returns: Chip Reduced chip object

Definition at line 539 of file AutoReg.cpp.

References Isis::Statistics::AddData(), Isis::Statistics::Average(), Isis::Chip::GetValue(), Isis::Chip::Lines(), Isis::Null, Isis::Statistics::Reset(), Isis::Chip::Samples(), and Isis::Chip::SetValue().

◆ ReducedFitChip()

Chip* Isis::AutoReg::ReducedFitChip ( )

inlineinherited

Return pointer to reduced fit chip.

Definition at line 247 of file AutoReg.h.

References Isis::AutoReg::p_reducedFitChip.

◆ ReducedPatternChip()

Chip* Isis::AutoReg::ReducedPatternChip ( )

inlineinherited

Return pointer to reduced pattern chip.

Definition at line 237 of file AutoReg.h.

References Isis::AutoReg::p_reducedPatternChip.

◆ ReducedSearchChip()

Chip* Isis::AutoReg::ReducedSearchChip ( )

inlineinherited

Return pointer to reduced search chip.

Definition at line 242 of file AutoReg.h.

References Isis::AutoReg::p_reducedSearchChip.

◆ ReductionFactor()

int Isis::AutoReg::ReductionFactor ( )

inlineinherited

Return the reduction factor.

Definition at line 275 of file AutoReg.h.

References Isis::AutoReg::p_reduceFactor.

◆ Register()

AutoReg::RegisterStatus Isis::AutoReg::Register ( )

inherited

Walk the pattern chip through the search chip to find the best registration.

Returns: AutoReg::RegisterStatus Returns the status of the registration.

Exceptions

iException::User	- "Search chips samples must be at least N pixels wider than the pattern chip samples for successful surface modeling"
iException::User	- "Search chips lines must be at least N pixels taller than the pattern chip lines for successful surface modeling"
iException::User	- "Reduction factor is too large"

Prep for walking the search chip by computing the starting and ending sample and line positions of the search chip to extract a sub-search chip to compare with the pattern chip.

Because the sub-search chip needs to have the same pixel dimensions as the pattern chip, and will be composed from its center pixel outwards, buffer the start and end boundaries so an area the size of the pattern chip can always be extracted around the current position.

For example, consider trying to extract a 5x5 sub-search chip from some search chip. If one starts at sample 1 and line 1, then because the "current position" is treated as the center of the sub-search chip, the algorithm could not form a 5x5 chip because there is nothing up and to the left of the current position. Consequently, for this example, there needs to be a two-pixel buffer from the edge of the search chip as the algorithm walks through it to make sure a 5x5 sub-search chip can always be extracted with the current position as its center.

Definition at line 587 of file AutoReg.cpp.

References Isis::Chip::CubeLine(), Isis::Chip::CubeSample(), Isis::Chip::IsValid(), Isis::Chip::Lines(), Isis::Null, Isis::Chip::Samples(), Isis::Chip::SetChipPosition(), Isis::Chip::TackLine(), and Isis::Chip::TackSample().

Referenced by Isis::SmtkMatcher::makeRegisteredPoint(), Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ Registration()

AutoReg::RegisterStatus Isis::Gruen::Registration	(	Chip &	sChip,
		Chip &	pChip,
		Chip &	fChip,
		int	startSamp,
		int	startLine,
		int	endSamp,
		int	endLine,
		int	bestSamp,
		int	bestLine
	)

protectedvirtual

Applies the adaptive Gruen algorithm to pattern and search chips.

This method computes the adaptive Gruen algorithm for a pattern chip and search chip. The search chip is assumed to be of a larger size than the pattern chip as dictated by the contents of the registration definition file.

This algorithm can be used with or without "fast geoming" the search chip. It works quite well where the two images are assumed to be nearly spatially registered. Its real intent is to compute parallax angles between two images taken at different viewing geometry. This provides an efficient process for deriving a digital elevation model (DEM) from two datasets.

The Gruen algorithm is applied to the chips until the algorithm converges (current iteration yields a detla affine within tolerance limits), an error is encountered, or the maximum number of iterations is exceeded.

Note that bestSamp and bestLine may not be the original center of the search chip. It is subject to chip reduction matching as specified by the user. All distance tolerances are compute from this postion. The process of chip reduction processing is handled by AutoReg prior to calling this routine.

See also: getThreshHold() for Affine limit information

Parameters

sChip	Full search chip as rendered from the search image
pChip	Full pattern chip as rendered from the pattern/match image
fChip	Maintains the solution vector at each chip location
startSamp	Starting sample of the search image range
startLine	Starting line of the search image range
endSamp	Ending sample of the search image range
endLine	Ending line of the search image range
bestSamp	Best registering sample of search chip
bestLine	best registering line of search chip

Returns: AutoReg::RegisterStatus Returns AutoReg::Success if the chip is successfully registered, otherwise returns AutoReg::AdaptiveAlgorithmFailed.

Reimplemented from Isis::AutoReg.

Definition at line 680 of file Gruen.cpp.

References algorithm(), CheckConstraints(), errorAnalysis(), Isis::Chip::Extract(), getAffineTolerance(), getChipUpdate(), Isis::Threshold::hasConverged(), Isis::Chip::Lines(), logError(), Isis::Chip::Samples(), Isis::AutoReg::SetChipLine(), Isis::Chip::SetChipPosition(), Isis::AutoReg::SetChipSample(), Isis::AutoReg::SetGoodnessOfFit(), Isis::Chip::SetSize(), Status(), Isis::Chip::TackLine(), Isis::Chip::TackSample(), Isis::AffineRadio::Translate(), and Isis::Chip::Write().

◆ RegistrationPatternChip()

Chip* Isis::AutoReg::RegistrationPatternChip ( )

inlineinherited

Return pointer to pattern chip used in registration.

Definition at line 217 of file AutoReg.h.

References Isis::AutoReg::None, Isis::AutoReg::p_gradientFilterType, Isis::AutoReg::p_gradientPatternChip, and Isis::AutoReg::p_patternChip.

Referenced by Isis::ControlMeasureEditWidget::saveChips(), and Isis::ControlPointEdit::saveChips().

◆ RegistrationSearchChip()

Chip* Isis::AutoReg::RegistrationSearchChip ( )

inlineinherited

Return pointer to search chip used in registration.

Definition at line 227 of file AutoReg.h.

References Isis::AutoReg::None, Isis::AutoReg::p_gradientFilterType, Isis::AutoReg::p_gradientSearchChip, and Isis::AutoReg::p_searchChip.

Referenced by Isis::ControlMeasureEditWidget::saveChips(), and Isis::ControlPointEdit::saveChips().

◆ RegistrationStatistics()

Pvl Isis::AutoReg::RegistrationStatistics ( )

inherited

This returns the cumulative registration statistics.

That is, the Register() method accumulates statistics regard the errors each time is called. Invoking this method returns a PVL summary of those statisitics

Author: janderson (3/26/2009)

Returns: Pvl

Definition at line 1177 of file AutoReg.cpp.

References Isis::PvlObject::addGroup(), and Isis::toString().

◆ RegTemplate()

PvlGroup Isis::AutoReg::RegTemplate ( )

inherited

This function returns the keywords that this object was created from.

Returns: PvlGroup The keywords this object used in initialization

Definition at line 1216 of file AutoReg.cpp.

References Isis::PvlContainer::hasKeyword().

◆ resetStats()

void Isis::Gruen::resetStats ( )

private

Reset Gruen statistics as needed.

Definition at line 1018 of file Gruen.cpp.

References Isis::Statistics::Reset().

◆ SearchChip()

Chip* Isis::AutoReg::SearchChip ( )

inlineinherited

Return pointer to search chip.

Definition at line 207 of file AutoReg.h.

References Isis::AutoReg::p_searchChip.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ setAffineRadio() [1/2]

void Isis::Gruen::setAffineRadio ( )

Set affine parameters to defaults.

This method differs from the one above in that it uses the defaults as defined at construction. The basic difference is that this call sets the affine portion to the identity and the radiometric parameters to the defaults as provided in the user input auto-regististration parameters. It may have default shift and gain values to use.

Author: Kris Becker - 6/4/2011

Definition at line 127 of file Gruen.cpp.

References getDefaultAffineRadio().

◆ setAffineRadio() [2/2]

void Isis::Gruen::setAffineRadio ( const AffineRadio & affrad )

Sets initial chip transformation.

This method can be used with AutoReg registration to set initial affine transform parameters. This initial condition will be applied to the whole search chip extraction for the first subsearch chip. The caller must define the contents of the affine and radiometric parameters. See the AffineRadio construct for details.

Author: kbecker (5/14/2011)

Parameters

affrad Initial Affine/Radio parameters to apply on registration entry

Definition at line 111 of file Gruen.cpp.

◆ SetChipInterpolator()

void Isis::AutoReg::SetChipInterpolator ( const QString & interpolator )

inherited

Sets the Chip class interpolator type to be used to load pattern and search chips.

Acceptable values for the interpolator parameter include:

NearestNeighborType
BiLinearType
CubicConvolutionType

If this method is not called, the chip interpolator type defaults to CubicConvolutionType in the Chip class.

Parameters

interpolator Name of interpolator type to be used. This is taken from the Pvl's ChipInterpolator keyword value.

Exceptions

iException::User - "Invalid Interpolator type."

Author: Jeannie Walldren

History:: 2010-06-15 Jeannie Walldren - Original version.

Definition at line 440 of file AutoReg.cpp.

◆ SetChipLine()

void Isis::AutoReg::SetChipLine ( double line )

inlineprotectedinherited

Sets the search chip subpixel line that matches the pattern tack line.

Parameters

line	Value to set for search chip subpixel line

Definition at line 404 of file AutoReg.h.

References Isis::AutoReg::p_chipLine.

Referenced by Registration().

◆ SetChipSample()

void Isis::AutoReg::SetChipSample ( double sample )

inlineprotectedinherited

Sets the search chip subpixel sample that matches the pattern tack sample.

Parameters

sample Value to set for search chip subpixel sample

Definition at line 393 of file AutoReg.h.

References Isis::AutoReg::p_chipSample.

Referenced by Registration().

◆ SetGoodnessOfFit()

void Isis::AutoReg::SetGoodnessOfFit ( double fit )

inlineprotectedinherited

Sets the goodness of fit for adaptive algorithms.

Parameters

fit	Fit value to set

Definition at line 413 of file AutoReg.h.

References Isis::AutoReg::p_bestFit.

Referenced by Registration().

◆ SetGradientFilterType()

void Isis::AutoReg::SetGradientFilterType ( const QString & gradientFilterType )

inherited

Set the gradient filter type to be applied to the search and pattern chips.

Parameters

gradientFilterType the gradient filter type to use

Exceptions

iException::User - "Invalid Gradient type."

Definition at line 273 of file AutoReg.cpp.

◆ SetPatternValidPercent()

void Isis::AutoReg::SetPatternValidPercent ( const double percent )

inherited

Set the amount of data in the pattern chip that must be valid.

For example, a 21x21 pattern chip has 441 pixels. If percent is 75 then at least 330 pixels pairs must be valid in order for a comparision between the pattern and search sub-region to occur. That is, both the pattern pixel and search pixel must be valid to be counted. Pixels are considered valid based on the min/max range specified on each of the Chips (see Chip::SetValidRange method).

If the pattern chip reduction option is used this percentage will apply to all reduced patterns. Additionally, the pattern sampling effects the pixel count. For example if pattern sampling is 50% then only 220 pixels in the 21x21 pattern are considered so 165 must be valid.

If this method is not called, the PatternChip ValidPercent defaults to 50 in the AutoReg object constructor.

See also: SetValidRange()

Parameters

percent Percentage of valid data between 0 and 100, default is 50% if never invoked

Exceptions

iException::User - "Invalid value for PatternChip ValidPercent."

Definition at line 339 of file AutoReg.cpp.

◆ SetPatternZScoreMinimum()

void Isis::AutoReg::SetPatternZScoreMinimum ( double minimum )

inherited

Set the minimum pattern zscore.

This option is used to ignore pattern chips which are bland (low standard deviation). If the minimum or maximum pixel value in the pattern chip does not meet the minimum zscore value (see a statisitcs book for definition of zscore) then invalid registration will occur.

If this method is not called, the z-score minimum defaults to 1.0 in the AutoReg object constructor.

Parameters

minimum The minimum zscore value for the pattern chip. Default is 1.0

Exceptions

iException::User - "Invalid value for PatternChip MinimumZScore."

Definition at line 394 of file AutoReg.cpp.

◆ SetReductionFactor()

void Isis::AutoReg::SetReductionFactor ( int factor )

inherited

Set the reduction factor used to speed up the pattern matching algorithm.

If this method is not called, the reduction factor defaults to 1 in the AutoReg object constructor.

Parameters

factor Reduction factor. Must be greater than or equal to 1.

Exceptions

iException::User - "Invalid value for Algorithm ReductionFactor."

Definition at line 521 of file AutoReg.cpp.

◆ SetSubPixelAccuracy()

void Isis::AutoReg::SetSubPixelAccuracy ( bool on )

inherited

If the sub-pixel accuracy is enabled, the Register() method will attempt to match the pattern chip to the search chip at sub-pixel accuracy, otherwise it will be registered at whole pixel accuracy.

If this method is not called, the sub pixel accuracy defaults to on = true in the AutoReg object constructor.

Parameters

on	Set the state of registration accuracy. The default is sub-pixel accuracy is on

Definition at line 312 of file AutoReg.cpp.

◆ SetSubpixelPosition()

bool Isis::AutoReg::SetSubpixelPosition ( Chip & window )

protectedinherited

Set the search chip sample and line to subpixel values if possible.

This method uses a centroiding method to gravitate the whole pixel best fit to a subpixel extremum in the continuous image space. The weights of the centers of gravity in the centroiding algorithm are modeled by goodness of fit values within a discrete search window.

Parameters

window The search window extracted from the fit chip

Returns: bool Returns true if the subpixel solution is valid

Definition at line 1087 of file AutoReg.cpp.

References Isis::Chip::ChipLine(), Isis::Chip::ChipSample(), Isis::Chip::GetValue(), Isis::Chip::Lines(), Isis::Chip::Samples(), Isis::Centroid::select(), Isis::Centroid::setDNRange(), and Isis::Chip::SetValue().

◆ SetSubsearchValidPercent()

void Isis::AutoReg::SetSubsearchValidPercent ( const double percent )

inherited

Set the amount of data in the search chip's subchip that must be valid.

If this method is not called, the SearchChip SubchipValidPercent defaults to 50 in the AutoReg object constructor.

Parameters

percent Percentage of valid data between 0 and 100, default is 50% if never invoked

See also: SetPatternValidPercent()

Exceptions

iException::User - "Invalid value for SearchChip SubchipValidPercent."

Author: 2010-07-20 Jeannie Walldren

History:: 2010-07-20 Jeannie Walldren - Original Version.

Definition at line 367 of file AutoReg.cpp.

◆ SetSurfaceModelDistanceTolerance()

void Isis::AutoReg::SetSurfaceModelDistanceTolerance ( double distance )

inherited

Set a distance the surface model solution is allowed to move away from the best whole pixel fit in the fit chip.

If this method is not called, the distance tolerance defaults to 1.5 in the AutoReg object constructor.

Parameters

distance The distance allowed to move in pixels. Must be greater than 0.

Exceptions

iException::User - "Invalid value for SurfaceModel DistanceTolerance."

Definition at line 501 of file AutoReg.cpp.

◆ SetSurfaceModelWindowSize()

void Isis::AutoReg::SetSurfaceModelWindowSize ( int size )

inherited

Set the surface model window size.

The pixels in this window will be used to fit a surface model in order to compute sub-pixel accuracy. In some cases the default (3x3) and produces erroneous sub-pixel accuracy values.

If this method is not called, the window size defaults to 5 in the AutoReg object constructor.

Parameters

size	The size of the window must be three or greater and odd.

Exceptions

iException::User - "Invalid value for SurfaceModel WindowSize."

Definition at line 480 of file AutoReg.cpp.

◆ SetTolerance()

void Isis::AutoReg::SetTolerance ( double tolerance )

inherited

Set the tolerance for an acceptable goodness of fit.

If this method is not called, the tolerance value defaults to Isis::Null in the AutoReg object constructor.

Parameters

tolerance This tolerance is used to test against the goodness of fit returned by the MatchAlgorith method after a surface model has been fit. See TestGoodnessOfFit

Definition at line 416 of file AutoReg.cpp.

◆ SobelGradient()

void Isis::AutoReg::SobelGradient	(	Buffer &	in,
		double &	v
	)

privateinherited

Compute a Sobel gradient based on an input buffer.

TODO: Remove this method as it already exists in the gradient application.

Parameters

in	the input buffer
v	the value of the gradient computed from the buffer

Definition at line 1000 of file AutoReg.cpp.

References Isis::IsSpecial(), Isis::Null, and Isis::Buffer::size().

◆ StatsLog()

PvlGroup Isis::Gruen::StatsLog ( ) const

private

Create a PvlGroup with the Gruen specific statistics.

This method generates a PvlGroup from statistics collected for a particular Gruen algorithm application. This routine is called from the AutoReg algorithm specific statistics routine and augments the AutoReg statistics log output.

Returns: PvlGroup Group containing Pvl keywords with collected statistics

Definition at line 853 of file Gruen.cpp.

References Isis::Statistics::Average(), Isis::Statistics::Maximum(), Isis::Statistics::Minimum(), Isis::Statistics::StandardDeviation(), Isis::toString(), and ValidateKey().

Referenced by AlgorithmStatistics().

◆ Status()

AutoReg::RegisterStatus Isis::Gruen::Status ( const MatchPoint & mpt )

private

Returns the proper status given a Gruen result container.

This method will return registration status consistant with AutoReg::RegisterStatus return codes.

Parameters

result Gruen result container used to determine status

Returns: AutoReg::RegisterStatus Returns AutoReg::Success if the Gruen registration is successful, otherwise returns AutoReg::AdaptiveAlgorithmFailed.

Definition at line 1161 of file Gruen.cpp.

References Isis::AutoReg::AdaptiveAlgorithmFailed, and Isis::AutoReg::SuccessSubPixel.

Referenced by Registration().

◆ SubPixelAccuracy()

bool Isis::AutoReg::SubPixelAccuracy ( )

inlineinherited

Return whether this object will attempt to register to whole or sub-pixel accuracy.

Returns: on Is sub-pixel accuracy enabled?

Definition at line 270 of file AutoReg.h.

References Isis::AutoReg::p_subpixelAccuracy.

◆ SubsearchValidPercent()

double Isis::AutoReg::SubsearchValidPercent ( ) const

inlineinherited

Return subsearch chip valid percent.

Definition at line 285 of file AutoReg.h.

References Isis::AutoReg::p_subsearchValidPercent.

◆ Success()

bool Isis::AutoReg::Success ( ) const

inlineinherited

Return whether the match algorithm succeeded or not.

Definition at line 318 of file AutoReg.h.

References Isis::AutoReg::p_registrationStatus, Isis::AutoReg::SuccessPixel, and Isis::AutoReg::SuccessSubPixel.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ Tolerance()

double Isis::AutoReg::Tolerance ( ) const

inlineinherited

Return match algorithm tolerance.

Definition at line 290 of file AutoReg.h.

References Isis::AutoReg::p_tolerance.

Referenced by CheckConstraints(), Isis::ControlMeasureEditWidget::registerPoint(), and Isis::ControlPointEdit::registerPoint().

◆ UpdatedTemplate()

PvlGroup Isis::AutoReg::UpdatedTemplate ( )

inherited

Returns a PvlGroup containing the PvlKeywords of the parameters this object was most recently run with.

Because of publically accessible mutators, AutoReg's runtime parameters can change, and this version of the template is designed to reflect the paramters it was actually run with, as opposed to simply initialized with. If no mutators were ever called externally, then this PvlGroup should be the same as the one received from RegTemplate().

Returns: PvlGroup The keywords this object was most recently run with

Definition at line 1289 of file AutoReg.cpp.

References Isis::Chip::Lines(), Isis::Chip::Samples(), and Isis::toString().

◆ ValidateKey()

PvlKeyword Isis::Gruen::ValidateKey	(	const QString	keyname,
		const double &	value,
		const QString &	unit = `""`
	)		const

inlineprivate

Checks value of key, produces appropriate value.

This function checks the value of the keyword for specialness and will create the appropriate keyword if it is special.

Parameters

keyname	Name of keyword to create
value	Keyword value
unit	Optional unit qualifer with value

Returns: PvlKeyword Returns newly created keyword/value

Definition at line 323 of file Gruen.h.

References Isis::IsSpecial(), and Isis::toString().

Referenced by ParameterKey(), ParameterLog(), and StatsLog().

◆ ValidPoints()

bool Isis::Gruen::ValidPoints	(	BigInt	totalPoints,
		BigInt	nPoints
	)		const

private

Determines if number of points is valid percentage of all points.

Computes the number of minimum valid points from user specified percentage and tests the acutal number used.

Parameters

totalPoints	Total number of possible valid points in chip
nPoints	Actual number of valid points used in chips

Returns: bool True if number of actual points exceeds percent mimimum valid, otherwise returns false.

Definition at line 1055 of file Gruen.cpp.

References MinValidPoints().

Referenced by algorithm().

◆ WindowSize()

double Isis::AutoReg::WindowSize ( ) const

inlineinherited

Return window size.

Definition at line 295 of file AutoReg.h.

References Isis::AutoReg::p_windowSize.

◆ WriteSubsearchChips()

void Isis::Gruen::WriteSubsearchChips ( const QString & pattern = "SubChip" )

Set up for writing subsearch for a a given registration call.

This method is provided to request the write of the subsearch chip at each iteration. This must be invoked prior to every call to AutoReg::Register() method. It will only write subchips from the Register() interface as it interates to a solution. Direct calls to Gruen methods don't iterate in the same fashion.

The "pattern" parameter is optional but is provided to direct the location and naming convention of each subsearch chip. The format for the output file name for each subsearch chip is comprised of the pattern parameter, call number, which can be retrieved by the CallCount() method and pertains to the call after the Register() method is invoked and the interation count. Below is a code example:

Gruen gruen(myPvldef);
 
// Set up pattern and search chips here
 
gruen.WriteSubsearchChips("/mydata/subchip");
gruen.Register();

Note that prior to each call to Register(), it must be called again in order for the subchips to be written. The last part of the parameter above, "subchip", cannot be a directory, but is a filename prefix. Assuming this is the first call to Register(), a series of cube subsearch chips will be written with the pattern "/work1/kbecker/subchipC000001IXXX.cub" where "C" indicates call count and the next 6 digits are the return of CallCount() method, "I" indicates the iteration count "XXX" of the algorithm() method. Note that the chip written for a particular iteration is what is provided as a parameter into the algorithm() method.

Parameters

pattern Specifies an optional directory and file pattern to write the subsearch chip at each algorithm iteration.

Definition at line 92 of file Gruen.cpp.

◆ ZScores()

void Isis::AutoReg::ZScores	(	double &	score1,
		double &	score2
	)		const

inlineinherited

Return the ZScores of the pattern chip.

Parameters

score1	First Z Score
score2	Second Z Score

Definition at line 360 of file AutoReg.h.

References Isis::AutoReg::p_zScoreMax, and Isis::AutoReg::p_zScoreMin.

Referenced by Isis::ControlMeasureEditWidget::registerPoint(), Isis::ControlPointEdit::registerPoint(), Isis::ControlMeasureEditWidget::saveMeasure(), and Isis::ControlPointEdit::saveMeasure().

Member Data Documentation

◆ p_bestFit

double Isis::AutoReg::p_bestFit

privateinherited

Goodness of fit for adaptive algorithms.

Definition at line 523 of file AutoReg.h.

Referenced by Isis::AutoReg::SetGoodnessOfFit().

◆ p_bestLine

int Isis::AutoReg::p_bestLine

privateinherited

Line value of best fit.

Definition at line 525 of file AutoReg.h.

◆ p_bestSamp

int Isis::AutoReg::p_bestSamp

privateinherited

Sample value of best fit.

Definition at line 524 of file AutoReg.h.

◆ p_chipLine

double Isis::AutoReg::p_chipLine

privateinherited

Chip line.

Definition at line 514 of file AutoReg.h.

Referenced by Isis::AutoReg::ChipLine(), and Isis::AutoReg::SetChipLine().

◆ p_chipSample

double Isis::AutoReg::p_chipSample

privateinherited

Chip sample.

Definition at line 513 of file AutoReg.h.

Referenced by Isis::AutoReg::ChipSample(), and Isis::AutoReg::SetChipSample().

◆ p_cubeLine

double Isis::AutoReg::p_cubeLine

privateinherited

Cube line.

Definition at line 516 of file AutoReg.h.

Referenced by Isis::AutoReg::CubeLine().

◆ p_cubeSample

double Isis::AutoReg::p_cubeSample

privateinherited

Cube sample.

Definition at line 515 of file AutoReg.h.

Referenced by Isis::AutoReg::CubeSample().

◆ p_distanceTolerance

double Isis::AutoReg::p_distanceTolerance

privateinherited

Maximum distance the surface model solution may be from the best whole pixel fit in the fit chip.

Definition at line 521 of file AutoReg.h.

Referenced by Isis::AutoReg::DistanceTolerance().

◆ p_fitChip

Chip Isis::AutoReg::p_fitChip

privateinherited

Results from MatchAlgorithm() method.

Definition at line 485 of file AutoReg.h.

Referenced by Isis::AutoReg::FitChip().

◆ p_fitChipNoDataCount

int Isis::AutoReg::p_fitChipNoDataCount

privateinherited

Registration statistics FitChipNoData keyword.

Definition at line 500 of file AutoReg.h.

◆ p_fitChipToleranceNotMetCount

int Isis::AutoReg::p_fitChipToleranceNotMetCount

privateinherited

Registration statistics FitChipToleranceNotMet keyword.

Definition at line 501 of file AutoReg.h.

◆ p_goodnessOfFit

double Isis::AutoReg::p_goodnessOfFit

privateinherited

Goodness of fit of the match algorithm.

Definition at line 517 of file AutoReg.h.

Referenced by Isis::AutoReg::GoodnessOfFit().

◆ p_gradientFilterType

AutoReg::GradientFilterType Isis::AutoReg::p_gradientFilterType

privateinherited

Type of gradient filter to use before matching.

Definition at line 530 of file AutoReg.h.

Referenced by Isis::AutoReg::RegistrationPatternChip(), and Isis::AutoReg::RegistrationSearchChip().

◆ p_gradientPatternChip

Chip Isis::AutoReg::p_gradientPatternChip

privateinherited

Chip to be matched with gradient applied.

Definition at line 487 of file AutoReg.h.

Referenced by Isis::AutoReg::RegistrationPatternChip().

◆ p_gradientSearchChip

Chip Isis::AutoReg::p_gradientSearchChip

privateinherited

Chip to be searched for best registration with gradient applied.

Definition at line 486 of file AutoReg.h.

Referenced by Isis::AutoReg::RegistrationSearchChip().

◆ p_lineMovement

double Isis::AutoReg::p_lineMovement

privateinherited

The number of lines the point moved.

Definition at line 527 of file AutoReg.h.

Referenced by Isis::AutoReg::Distance().

◆ p_minimumPatternZScore

double Isis::AutoReg::p_minimumPatternZScore

privateinherited

Minimum pattern Z-Score.

Definition at line 509 of file AutoReg.h.

Referenced by Isis::AutoReg::MinimumZScore().

◆ p_patternChip

Chip Isis::AutoReg::p_patternChip

privateinherited

Chip to be matched.

Definition at line 483 of file AutoReg.h.

Referenced by Isis::AutoReg::PatternChip(), and Isis::AutoReg::RegistrationPatternChip().

◆ p_patternChipNotEnoughValidDataCount

int Isis::AutoReg::p_patternChipNotEnoughValidDataCount

privateinherited

Registration statistics PatternNotEnoughValidData keyword.

Definition at line 498 of file AutoReg.h.

◆ p_patternValidPercent

double Isis::AutoReg::p_patternValidPercent

privateinherited

Percentage of data in pattern chip that must be valid.

Definition at line 510 of file AutoReg.h.

Referenced by Isis::AutoReg::PatternValidPercent().

◆ p_patternZScoreNotMetCount

int Isis::AutoReg::p_patternZScoreNotMetCount

privateinherited

Registration statistics PatternZScoreNotMet keyword.

Definition at line 499 of file AutoReg.h.

◆ p_pixelSuccesses

int Isis::AutoReg::p_pixelSuccesses

privateinherited

Registration statistics Success keyword.

Definition at line 496 of file AutoReg.h.

◆ p_reducedFitChip

Chip Isis::AutoReg::p_reducedFitChip

privateinherited

Fit Chip with reduction factor.

Definition at line 490 of file AutoReg.h.

Referenced by Isis::AutoReg::ReducedFitChip().

◆ p_reducedPatternChip

Chip Isis::AutoReg::p_reducedPatternChip

privateinherited

Pattern Chip with reduction factor.

Definition at line 488 of file AutoReg.h.

Referenced by Isis::AutoReg::ReducedPatternChip().

◆ p_reducedSearchChip

Chip Isis::AutoReg::p_reducedSearchChip

privateinherited

Search Chip with reduction factor.

Definition at line 489 of file AutoReg.h.

Referenced by Isis::AutoReg::ReducedSearchChip().

◆ p_reduceFactor

int Isis::AutoReg::p_reduceFactor

privateinherited

Reduction factor.

Definition at line 528 of file AutoReg.h.

Referenced by Isis::AutoReg::ReductionFactor().

◆ p_registrationStatus

Isis::AutoReg::RegisterStatus Isis::AutoReg::p_registrationStatus

privateinherited

Registration status to be returned by Register().

Definition at line 529 of file AutoReg.h.

Referenced by Isis::AutoReg::Success().

◆ p_sampMovement

double Isis::AutoReg::p_sampMovement

privateinherited

The number of samples the point moved.

Definition at line 526 of file AutoReg.h.

Referenced by Isis::AutoReg::Distance().

◆ p_searchChip

Chip Isis::AutoReg::p_searchChip

privateinherited

Chip to be searched for best registration.

Definition at line 484 of file AutoReg.h.

Referenced by Isis::AutoReg::RegistrationSearchChip(), and Isis::AutoReg::SearchChip().

◆ p_subpixelAccuracy

bool Isis::AutoReg::p_subpixelAccuracy

privateinherited

Indicates whether sub-pixel accuracy is enabled. Default is true.

Definition at line 492 of file AutoReg.h.

Referenced by Isis::AutoReg::SubPixelAccuracy().

◆ p_subpixelSuccesses

int Isis::AutoReg::p_subpixelSuccesses

privateinherited

Registration statistics Success keyword.

Definition at line 497 of file AutoReg.h.

◆ p_subsearchValidPercent

double Isis::AutoReg::p_subsearchValidPercent

privateinherited

Percentage of data in subsearch chip that must be valid.

Definition at line 511 of file AutoReg.h.

Referenced by Isis::AutoReg::SubsearchValidPercent().

◆ p_surfaceModelDistanceInvalidCount

int Isis::AutoReg::p_surfaceModelDistanceInvalidCount

privateinherited

Registration statistics SurfaceModelDistanceInvalid keyword.

Definition at line 504 of file AutoReg.h.

◆ p_surfaceModelNotEnoughValidDataCount

int Isis::AutoReg::p_surfaceModelNotEnoughValidDataCount

privateinherited

Registration statistics SurfaceModelNotEnoughValidData keyword.

Definition at line 502 of file AutoReg.h.

◆ p_surfaceModelSolutionInvalidCount

int Isis::AutoReg::p_surfaceModelSolutionInvalidCount

privateinherited

Registration statistics SurfaceModelSolutionInvalid keyword.

Definition at line 503 of file AutoReg.h.

◆ p_template

PvlObject Isis::AutoReg::p_template

protectedinherited

AutoRegistration object that created this projection.

Definition at line 449 of file AutoReg.h.

◆ p_tolerance

double Isis::AutoReg::p_tolerance

privateinherited

Tolerance for acceptable goodness of fit in match algorithm.

Definition at line 518 of file AutoReg.h.

Referenced by Isis::AutoReg::Tolerance().

◆ p_totalRegistrations

int Isis::AutoReg::p_totalRegistrations

privateinherited

Registration Statistics Total keyword.

Definition at line 495 of file AutoReg.h.

◆ p_windowSize

int Isis::AutoReg::p_windowSize

privateinherited

Surface model window size.

Definition at line 520 of file AutoReg.h.

Referenced by Isis::AutoReg::WindowSize().

◆ p_zScoreMax

double Isis::AutoReg::p_zScoreMax

privateinherited

Second Z-Score of pattern chip.

Definition at line 507 of file AutoReg.h.

Referenced by Isis::AutoReg::ZScores().

◆ p_zScoreMin

double Isis::AutoReg::p_zScoreMin

privateinherited

First Z-Score of pattern chip.

Definition at line 506 of file AutoReg.h.

Referenced by Isis::AutoReg::ZScores().

The documentation for this class was generated from the following files:

src/base/objs/Gruen/Gruen.h
src/base/objs/Gruen/Gruen.cpp

Classes

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Private Types

Private Member Functions

Static Private Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ ErrorList

Member Enumeration Documentation

◆ ErrorTypes

◆ GradientFilterType

◆ RegisterStatus

Constructor & Destructor Documentation

◆ Gruen() [1/2]

◆ Gruen() [2/2]

◆ ~Gruen()

Member Function Documentation

◆ algorithm()

◆ AlgorithmName()

◆ AlgorithmStatistics()

◆ ApplyGradientFilter()

◆ CallCount()

◆ CheckConstraints()

◆ ChipLine()

◆ ChipSample()

◆ Choldc()

◆ Cholsl()

◆ CompareFits()

◆ ComputeChipZScore()

◆ ConfKey() [1/2]

◆ ConfKey() [2/2]

◆ CubeLine()

◆ CubeSample()

◆ DegreesOfFreedom()

◆ Distance()

◆ DistanceTolerance()

◆ EigenSort()

◆ errorAnalysis()

◆ FitChip()

◆ getAffineConstraint()

◆ getAffineRadio()

◆ getAffineTolerance()

◆ getChipUpdate()

◆ getDefaultAffineRadio()

◆ getDefaultParameters()

◆ getDefaultRadio()

◆ getLastMatch()

◆ getSpiceConstraint()

◆ GoodnessOfFit()

◆ IdealFit()

◆ Init()

◆ init()

◆ initErrorList()

◆ IsIdeal()

◆ Jacobi()

◆ logError()

◆ Match()

◆ MatchAlgorithm()

◆ MinimumZScore()

◆ MinValidPoints()

◆ MostLenientTolerance()

◆ ParameterKey()

◆ ParameterLog()

◆ Parse()

◆ PatternChip()

◆ PatternValidPercent()

◆ Reduce()

◆ ReducedFitChip()

◆ ReducedPatternChip()

◆ ReducedSearchChip()

◆ ReductionFactor()

◆ Register()

◆ Registration()

◆ RegistrationPatternChip()

◆ RegistrationSearchChip()

◆ RegistrationStatistics()