cv::ximgproc::ContourFitting Class Reference

Class for ContourFitting algorithms. ContourFitting match two contours \( z_a \) and \( z_b \) minimizing distance

\[ d(z_a,z_b)=\sum (a_n - s b_n e^{j(n \alpha +\phi )})^2 \]

where \( a_n \) and \( b_n \) are Fourier descriptors of \( z_a \) and \( z_b \) and s is a scaling factor and \( \phi \) is angle rotation and \( \alpha \) is starting point factor adjustement. More...

#include <opencv2/ximgproc/fourier_descriptors.hpp>

Inheritance diagram for cv::ximgproc::ContourFitting:

Public Member Functions
	ContourFitting (int ctr=1024, int fd=16)
	Fit two closed curves using fourier descriptors. More details in.
void	estimateTransformation (InputArray src, InputArray dst, OutputArray alphaPhiST, double *dist=0, bool fdContour=false)
	Fit two closed curves using fourier descriptors. More details in.
void	estimateTransformation (InputArray src, InputArray dst, OutputArray alphaPhiST, double &dist, bool fdContour=false)
	Fit two closed curves using fourier descriptors. More details in.
int	getCtrSize ()
int	getFDSize ()
void	setCtrSize (int n)
	set number of Fourier descriptors used in estimateTransformation
void	setFDSize (int n)
	set number of Fourier descriptors when estimateTransformation used vector<Point>
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Additional Inherited Members
Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class for ContourFitting algorithms. ContourFitting match two contours \( z_a \) and \( z_b \) minimizing distance

\[ d(z_a,z_b)=\sum (a_n - s b_n e^{j(n \alpha +\phi )})^2 \]

where \( a_n \) and \( b_n \) are Fourier descriptors of \( z_a \) and \( z_b \) and s is a scaling factor and \( \phi \) is angle rotation and \( \alpha \) is starting point factor adjustement.

Constructor & Destructor Documentation

cv::ximgproc::ContourFitting::ContourFitting ( int  ctr = 1024, int  fd = 16  )

inline

Fit two closed curves using fourier descriptors. More details in.

PersoonFu1977 andBergerRaghunathan1998

Parameters

ctr	number of Fourier descriptors equal to number of contour points after resampling.
fd	Contour defining second shape (Target).

Member Function Documentation

void cv::ximgproc::ContourFitting::estimateTransformation	(	InputArray	src,
		InputArray	dst,
		OutputArray	alphaPhiST,
		double *	dist = 0,
		bool	fdContour = false
	)

Python:
	alphaPhiST, dist	=	cv.ximgproc_ContourFitting.estimateTransformation(	src, dst[, alphaPhiST[, fdContour]]	)

Fit two closed curves using fourier descriptors. More details in.

PersoonFu1977 andBergerRaghunathan1998

Parameters

src	Contour defining first shape.
dst	Contour defining second shape (Target).
alphaPhiST	: \( \alpha \)=alphaPhiST(0,0), \( \phi \)=alphaPhiST(0,1) (in radian), s=alphaPhiST(0,2), Tx=alphaPhiST(0,3), Ty=alphaPhiST(0,4) rotation center
dist	distance between src and dst after matching.
fdContour	false then src and dst are contours and true src and dst are fourier descriptors.

void cv::ximgproc::ContourFitting::estimateTransformation	(	InputArray	src,
		InputArray	dst,
		OutputArray	alphaPhiST,
		double &	dist,
		bool	fdContour = false
	)

Python:
	alphaPhiST, dist	=	cv.ximgproc_ContourFitting.estimateTransformation(	src, dst[, alphaPhiST[, fdContour]]	)

Fit two closed curves using fourier descriptors. More details in.

PersoonFu1977 andBergerRaghunathan1998

Parameters

src	Contour defining first shape.
dst	Contour defining second shape (Target).
alphaPhiST	: \( \alpha \)=alphaPhiST(0,0), \( \phi \)=alphaPhiST(0,1) (in radian), s=alphaPhiST(0,2), Tx=alphaPhiST(0,3), Ty=alphaPhiST(0,4) rotation center
dist	distance between src and dst after matching.
fdContour	false then src and dst are contours and true src and dst are fourier descriptors.

int cv::ximgproc::ContourFitting::getCtrSize ( )

inline

Python:
	retval	=	cv.ximgproc_ContourFitting.getCtrSize(		)

Returns

number of fourier descriptors

int cv::ximgproc::ContourFitting::getFDSize ( )

inline

Python:
	retval	=	cv.ximgproc_ContourFitting.getFDSize(		)

Returns

number of fourier descriptors used for optimal curve matching

void cv::ximgproc::ContourFitting::setCtrSize

(

int

n

)

Python:
	None	=	cv.ximgproc_ContourFitting.setCtrSize(	n	)

set number of Fourier descriptors used in estimateTransformation

Parameters

n	number of Fourier descriptors equal to number of contour points after resampling.

void cv::ximgproc::ContourFitting::setFDSize

(

int

n

)

Python:
	None	=	cv.ximgproc_ContourFitting.setFDSize(	n	)

set number of Fourier descriptors when estimateTransformation used vector<Point>

Parameters

n	number of fourier descriptors used for optimal curve matching.

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

• fourier_descriptors.hpp