LMatch Class Reference

Inheritance diagram for LMatch:

Additional Inherited Members
Public Member Functions inherited from ILMatch
void	GetPatCenter (double *patX, double *patY, double *patAngle)
LPVPatCenterMode	GetPatCenterMode ()
ILPoints *	GetPatFeature (int level)
void	GetPatImage (ILImage *img)
void	GetPatMask (ILImage *mask)
void	GetPatPruneMask (ILImage *mask)
LArray< ILPolygon * >	GetPatShape (int level)
BOOL	IsLearnt ()
LPVErrorCode	Learn (ILImage *img, ILRegion *region)
LPVErrorCode	LearnWithShape (ILImage *img, ILRegion *region, ILRegion *shapeRegion)
LPVErrorCode	LearnWithShapeImage (ILImage *img, ILRegion *region, ILImage *shapeImg)
LPVErrorCode	Match (ILImage *img, ILRegion *region, ILMatchResults **results)
LPVErrorCode	Prune (ILImage *img, ILRegion *region, LArray< int > shapeIdx0, LArray< int > shapeIdx1)
void	SetPatCenter (LPVPatCenterMode centerMode, double patX, double patY, double patAngle)
Public Member Functions inherited from ILObject
ILObject *	Copy ()
LPVErrorCode	Load (LString filename)
void	Reset ()
LPVErrorCode	Save (LString filename)
BOOL	Valid ()
Properties inherited from ILMatch
int	AcceptScore [get, set]
	The minimum acceptable score, in range from 1 to 100. Higher score indicates more strict evaluation standard. The searching wouldn't go through all candidates. It firstly sort the candidates by its approximate similarity to template, then optimize their position/angle/scale to sub-pixel level one-by-one. It stops if there are enough results met the specified acceptable score.
int	AccuracyLevel [get, set]
	Accuracy level for the matching, higher level usually means more accurate and stable result but slower. It should be either 0(Low), 1(Middle, default) or 2(High).
int	AngleBias [get, set]
	The angle bias in range from -180 to 180. By default, it's 0.
int	AngleTolerance [get, set]
	The angle tolerance in range from 0 to 180. By default, it's 5. The matching angle range is based on the bias and tolerance as \( AngleBias \pm AngleTolerance \) .
double	DetailLevel [get, set]
	Level of detail of the pattern template, in range of 0 ~ 1. By default, it's set to 0.5. Higher level indicates more details contained in the trained template, while it may introduce more noise and slow down the detection. You should set the proper detail level firstly, then train the template via Learn(), since the template features should be re-extracted again in the training process. More...
BOOL	ExcludeBoundary [get, set]
	Whether to exclude the matching result on the boundary of the input image or region.
int	GrayValueWeight [get, set]
	The combination weight of the evaluation score based on the similarity of the matching result and the template image, using normalized cross correlation (NCC). By default, it's 0, means the gray score does not take any effect. The final score of the result is calculated as: \( Score = Score_{shape} \times (1 - w) + Score_{gray} \times w \) .
BOOL	IgnoreMissing [get, set]
	Whether the missing parts contribute negatively to the matching result. By default is true, the missing features are ignored when scoring and missing percentage check is skipped.
BOOL	IgnorePolarity [get, set]
	Whether to ignore polarity in matching. By default, it's off.
BOOL	IsotropicScale [get, set]
	Whether to keep aspect ratio when scaling, default to true.
int	MaxCount [get, set]
	The expected maximum count of the matching results.
int	MissingTolerance [get, set]
	The maximum acceptable missing rate of the matching features in percentage. The value range is 0 ~ 100. By default, it's 50, means 50% missing is acceptable. Note missing part check is only enabled when IgnoreMissing is false.
int	Overlap [get, set]
	The maximum acceptable overlap between the nearby matching results in percentage. The value range is 1 ~ 80. By default, it's 50, means 50% overlap. The recommended setting is around 30 ~ 70.
int	ScaleBias [get, set]
	The scale bias in range from 50 to 150%. By default, it's 100.
int	ScaleTolerance [get, set]
	The scale tolerance in range from 0 to 50%. By default, it's 0. The matching scale range is based on the bias and tolerance as \( ScaleBias \pm ScaleTolerance \) .
BOOL	StrictScore [get, set]
	Whether to enable strict scoring in matching. By default, it's off. If it's on, scoring is done on the original image with most detail information. If it's off, scoring is done on the scaled and smoothed image which is much faster but with less detail.
BOOL	UseCache [get, set]
	Whether to make use of cache in matching, it will slightly speed up the matching while consume more memory. By default, it's on.

Detailed Description

This class implements the interface ILMatch, and is used to create an instance of pattern matching tool.