203        return &p_patternChip;
 
 
  208        return &p_searchChip;
 
 
  218        if (p_gradientFilterType == 
None) {
 
  219          return &p_patternChip;
 
  222          return &p_gradientPatternChip;
 
 
  228        if (p_gradientFilterType == 
None) {
 
  229          return &p_searchChip;
 
  232          return &p_gradientSearchChip;
 
 
  238        return &p_reducedPatternChip;
 
 
  243        return &p_reducedSearchChip;
 
 
  248        return &p_reducedFitChip;
 
 
  271        return p_subpixelAccuracy;
 
 
  276        return p_reduceFactor;
 
 
  281        return p_patternValidPercent;
 
 
  286        return p_subsearchValidPercent;
 
 
  301        return p_distanceTolerance;
 
 
  310      void Distance(
double &sampDistance, 
double &lineDistance) {
 
  311        sampDistance = p_sampMovement;
 
  312        lineDistance = p_lineMovement;
 
 
  324        return p_goodnessOfFit;
 
 
  327      inline bool IsIdeal(
double fit);
 
  351        return p_minimumPatternZScore;
 
 
  360      void ZScores(
double &score1, 
double &score2)
 const {
 
  361        score1 = p_zScoreMin;
 
  362        score2 = p_zScoreMax;
 
 
  394        p_chipSample = sample;
 
 
  418          Chip &fChip, 
int startSamp, 
int startLine, 
int endSamp, 
int endLine,
 
  419          int bestSamp, 
int bestLine);
 
  422      virtual bool CompareFits(
double fit1, 
double fit2);
 
  471      void Match(
Chip &sChip,
 
  478      bool ComputeChipZScore(
Chip &chip);
 
  480      void ApplyGradientFilter(
Chip &chip);
 
  481      void SobelGradient(
Buffer &in, 
double &v);
 
  486      Chip p_gradientSearchChip;                           
 
  487      Chip p_gradientPatternChip;                          
 
  488      Chip p_reducedPatternChip;                           
 
  489      Chip p_reducedSearchChip;                            
 
  490      Chip p_reducedFitChip;                               
 
  492      bool p_subpixelAccuracy;                             
 
  495      int p_totalRegistrations;                            
 
  496      int p_pixelSuccesses;                                
 
  497      int p_subpixelSuccesses;                             
 
  498      int p_patternChipNotEnoughValidDataCount;            
 
  499      int p_patternZScoreNotMetCount;                      
 
  500      int p_fitChipNoDataCount;                            
 
  501      int p_fitChipToleranceNotMetCount;                   
 
  502      int p_surfaceModelNotEnoughValidDataCount;           
 
  503      int p_surfaceModelSolutionInvalidCount;              
 
  504      int p_surfaceModelDistanceInvalidCount;              
 
  509      double p_minimumPatternZScore;                       
 
  510      double p_patternValidPercent;                        
 
  511      double p_subsearchValidPercent;                      
 
  517      double p_goodnessOfFit;                              
 
  521      double p_distanceTolerance;                          
 
  526      double p_sampMovement;                               
 
  527      double p_lineMovement;                               
 
 
Auto Registration class.
Definition AutoReg.h:167
 
void ZScores(double &score1, double &score2) const
Return the ZScores of the pattern chip.
Definition AutoReg.h:360
 
double CubeLine() const
Return the search chip cube line that best matched.
Definition AutoReg.h:345
 
RegisterStatus
Enumeration of the Register() method's return status.
Definition AutoReg.h:179
 
@ PatternChipNotEnoughValidData
Not enough valid data in pattern chip.
Definition AutoReg.h:182
 
@ SuccessPixel
Success registering to whole pixel.
Definition AutoReg.h:180
 
@ PatternZScoreNotMet
Pattern data max or min does not pass the z-score test.
Definition AutoReg.h:188
 
@ SurfaceModelSolutionInvalid
Could not model surface for sub-pixel accuracy.
Definition AutoReg.h:186
 
@ SuccessSubPixel
Success registering to sub-pixel accuracy.
Definition AutoReg.h:181
 
@ AdaptiveAlgorithmFailed
Error occured in Adaptive algorithm.
Definition AutoReg.h:189
 
@ FitChipToleranceNotMet
Goodness of fit tolerance not satisfied.
Definition AutoReg.h:184
 
@ FitChipNoData
Fit chip did not have any valid data.
Definition AutoReg.h:183
 
@ SurfaceModelDistanceInvalid
Surface model moves registration more than one pixel.
Definition AutoReg.h:187
 
@ SurfaceModelNotEnoughValidData
Not enough points to fit a surface model for sub-pixel accuracy.
Definition AutoReg.h:185
 
double WindowSize() const
Return window size.
Definition AutoReg.h:295
 
GradientFilterType
Enumeration of the different types of gradient filters that can be applied to the pattern and search ...
Definition AutoReg.h:196
 
@ Sobel
Sobel gradient filter.
Definition AutoReg.h:198
 
@ None
default, no gradient filter
Definition AutoReg.h:197
 
PvlGroup UpdatedTemplate()
Returns a PvlGroup containing the PvlKeywords of the parameters this object was most recently run wit...
Definition AutoReg.cpp:1289
 
double GoodnessOfFit() const
Return the goodness of fit of the match algorithm.
Definition AutoReg.h:323
 
Chip * RegistrationPatternChip()
Return pointer to pattern chip used in registration.
Definition AutoReg.h:217
 
void SetChipLine(double line)
Sets the search chip subpixel line that matches the pattern tack line.
Definition AutoReg.h:404
 
PvlObject p_template
AutoRegistration object that created this projection.
Definition AutoReg.h:449
 
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.
Definition AutoReg.cpp:1152
 
AutoReg(Pvl &pvl)
Create AutoReg object.
Definition AutoReg.cpp:66
 
Chip * ReducedPatternChip()
Return pointer to reduced pattern chip.
Definition AutoReg.h:237
 
void Parse(Pvl &pvl)
Initialize parameters in the AutoReg class using a PVL specification.
Definition AutoReg.cpp:194
 
bool IsIdeal(double fit)
Returns true if the fit parameter is arbitrarily close to the ideal fit value.
Definition AutoReg.cpp:1162
 
int ReductionFactor()
Return the reduction factor.
Definition AutoReg.h:275
 
void SetSubsearchValidPercent(const double percent)
Set the amount of data in the search chip's subchip that must be valid.
Definition AutoReg.cpp:367
 
PvlGroup RegTemplate()
This function returns the keywords that this object was created from.
Definition AutoReg.cpp:1216
 
void SetChipInterpolator(const QString &interpolator)
Sets the Chip class interpolator type to be used to load pattern and search chips.
Definition AutoReg.cpp:440
 
double DistanceTolerance() const
Return distance tolerance.
Definition AutoReg.h:300
 
Chip * RegistrationSearchChip()
Return pointer to search chip used in registration.
Definition AutoReg.h:227
 
bool Success() const
Return whether the match algorithm succeeded or not.
Definition AutoReg.h:318
 
virtual double IdealFit() const =0
Returns the ideal (perfect) fit that could be returned by the MatchAlgorithm.
 
double PatternValidPercent() const
Return pattern chip valid percent. The default value is.
Definition AutoReg.h:280
 
Pvl RegistrationStatistics()
This returns the cumulative registration statistics.
Definition AutoReg.cpp:1177
 
void SetPatternValidPercent(const double percent)
Set the amount of data in the pattern chip that must be valid.
Definition AutoReg.cpp:339
 
double SubsearchValidPercent() const
Return subsearch chip valid percent.
Definition AutoReg.h:285
 
Chip * SearchChip()
Return pointer to search chip.
Definition AutoReg.h:207
 
virtual AutoReg::RegisterStatus Registration(Chip &sChip, Chip &pChip, Chip &fChip, int startSamp, int startLine, int endSamp, int endLine, int bestSamp, int bestLine)
Performs matching between the pattern and search at both whole-pixel and subpixel levels.
Definition AutoReg.cpp:811
 
double ChipSample() const
Return the search chip sample that best matched.
Definition AutoReg.h:330
 
void SetReductionFactor(int reductionFactor)
Set the reduction factor used to speed up the pattern matching algorithm.
Definition AutoReg.cpp:521
 
double CubeSample() const
Return the search chip cube sample that best matched.
Definition AutoReg.h:340
 
bool SubPixelAccuracy()
Return whether this object will attempt to register to whole or sub-pixel accuracy.
Definition AutoReg.h:270
 
void SetSubPixelAccuracy(bool on)
If the sub-pixel accuracy is enabled, the Register() method will attempt to match the pattern chip to...
Definition AutoReg.cpp:312
 
virtual double MostLenientTolerance()
Minimum tolerance specific to algorithm.
Definition AutoReg.h:370
 
Chip Reduce(Chip &chip, int reductionFactor)
This method reduces the given chip by the given reduction factor.
Definition AutoReg.cpp:539
 
virtual ~AutoReg()
Destroy AutoReg object.
Definition AutoReg.cpp:153
 
bool SetSubpixelPosition(Chip &window)
Set the search chip sample and line to subpixel values if possible.
Definition AutoReg.cpp:1087
 
Chip * ReducedSearchChip()
Return pointer to reduced search chip.
Definition AutoReg.h:242
 
double MinimumZScore() const
Return minimumPatternZScore.
Definition AutoReg.h:350
 
void SetPatternZScoreMinimum(double minimum)
Set the minimum pattern zscore.
Definition AutoReg.cpp:394
 
virtual Pvl AlgorithmStatistics(Pvl &pvl)
Provide (adaptive) algorithms a chance to report results.
Definition AutoReg.h:461
 
void SetChipSample(double sample)
Sets the search chip subpixel sample that matches the pattern tack sample.
Definition AutoReg.h:393
 
void SetSurfaceModelDistanceTolerance(double distance)
Set a distance the surface model solution is allowed to move away from the best whole pixel fit in th...
Definition AutoReg.cpp:501
 
void Distance(double &sampDistance, double &lineDistance)
Return the distance point moved.
Definition AutoReg.h:310
 
Chip * FitChip()
Return pointer to fit chip.
Definition AutoReg.h:212
 
QString GradientFilterString() const
Definition AutoReg.cpp:289
 
double ChipLine() const
Return the search chip line that best matched.
Definition AutoReg.h:335
 
void SetTolerance(double tolerance)
Set the tolerance for an acceptable goodness of fit.
Definition AutoReg.cpp:416
 
Chip * PatternChip()
Return pointer to pattern chip.
Definition AutoReg.h:202
 
void SetGoodnessOfFit(double fit)
Sets the goodness of fit for adaptive algorithms.
Definition AutoReg.h:413
 
virtual double MatchAlgorithm(Chip &pattern, Chip &subsearch)=0
Given two identically sized chips return a double that indicates how well they match.
 
virtual QString AlgorithmName() const =0
Returns the name of the algorithm.
 
Chip * ReducedFitChip()
Return pointer to reduced fit chip.
Definition AutoReg.h:247
 
void SetSurfaceModelWindowSize(int size)
Set the surface model window size.
Definition AutoReg.cpp:480
 
void SetGradientFilterType(const QString &gradientFilterType)
Set the gradient filter type to be applied to the search and pattern chips.
Definition AutoReg.cpp:273
 
AutoReg::RegisterStatus Register()
Walk the pattern chip through the search chip to find the best registration.
Definition AutoReg.cpp:587
 
double Tolerance() const
Return match algorithm tolerance.
Definition AutoReg.h:290
 
Buffer for reading and writing cube data.
Definition Buffer.h:53
 
A small chip of data used for pattern matching.
Definition Chip.h:86
 
Contains multiple PvlContainers.
Definition PvlGroup.h:41
 
Container for cube-like labels.
Definition Pvl.h:119
 
Contains Pvl Groups and Pvl Objects.
Definition PvlObject.h:61
 
This is free and unencumbered software released into the public domain.
Definition Apollo.h:16