cv::ximgproc::ContourFitting Class Reference

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

#include <opencv2/ximgproc/fourier_descriptors.hpp>

Collaboration 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 [220] and [25].
void	estimateTransformation (InputArray src, InputArray dst, OutputArray alphaPhiST, double &dist, bool fdContour=false)
	Fit two closed curves using fourier descriptors. More details in [220] and [25].
void	estimateTransformation (InputArray src, InputArray dst, OutputArray alphaPhiST, double *dist=0, bool fdContour=false)
	Fit two closed curves using fourier descriptors. More details in [220] and [25].
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
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

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

ContourFitting()

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

inline

Fit two closed curves using fourier descriptors. More details in [220] and [25].

Parameters

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

Member Function Documentation

estimateTransformation() [1/2]

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

Python:
	cv.ximgproc.ContourFitting.estimateTransformation(	src, dst[, alphaPhiST[, fdContour]]	) ->	alphaPhiST, dist

Fit two closed curves using fourier descriptors. More details in [220] and [25].

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.

estimateTransformation() [2/2]

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

Python:
	cv.ximgproc.ContourFitting.estimateTransformation(	src, dst[, alphaPhiST[, fdContour]]	) ->	alphaPhiST, dist

Fit two closed curves using fourier descriptors. More details in [220] and [25].

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.

getCtrSize()

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

inline

Python:
	cv.ximgproc.ContourFitting.getCtrSize(		) ->	retval

Returns

number of fourier descriptors

getFDSize()

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

inline

Python:
	cv.ximgproc.ContourFitting.getFDSize(		) ->	retval

Returns

number of fourier descriptors used for optimal curve matching

setCtrSize()

void cv::ximgproc::ContourFitting::setCtrSize

(

int

n

)

Python:
	cv.ximgproc.ContourFitting.setCtrSize(	n	) ->	None

set number of Fourier descriptors used in estimateTransformation

Parameters

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

setFDSize()

void cv::ximgproc::ContourFitting::setFDSize

(

int

n

)

Python:
	cv.ximgproc.ContourFitting.setFDSize(	n	) ->	None

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:

• opencv2/ximgproc/fourier_descriptors.hpp