Class cv::ximgproc::ContourFitting#

Class for ContourFitting algorithms. ContourFitting match two contours $ z_a $ and $ z_b $ minimizing distance. View details

#include <opencv2/ximgproc/fourier_descriptors.hpp>

Collaboration diagram for cv::ximgproc::ContourFitting:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	`Algorithm()`
	`~Algorithm()`
`void`	`clear()`	Clears the algorithm state.
`bool`	`empty()`	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`save(const String & filename)`
`void`	`write(` `const Ptr< FileStorage > & fs,` `const String & name = String() )`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
`static Ptr< _Tp >`	`load(` `const String & filename,` `const String & objname = String() )`	Loads algorithm from the file.
`static Ptr< _Tp >`	`loadFromString(` `const String & strModel,` `const String & objname = String() )`	Loads algorithm from a String.
`static Ptr< _Tp >`	`read(const FileNode & fn)`	Reads algorithm from the file node.

Additional Inherited Members#

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 )

Fit two closed curves using fourier descriptors. More details in [242] and [28].

Parameters

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

Member Function Documentation#

distance()#

double cv::ximgproc::ContourFitting::distance(
std::complex< double > r,
double alpha )

fAlpha()#

void cv::ximgproc::ContourFitting::fAlpha(
double x,
double & fn,
double & df )

frequencyInit()#

void cv::ximgproc::ContourFitting::frequencyInit()

newtonRaphson()#

double cv::ximgproc::ContourFitting::newtonRaphson(
double x1,
double x2 )

estimateTransformation()#

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

Fit two closed curves using fourier descriptors. More details in [242] and [28].

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()#

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

Fit two closed curves using fourier descriptors. More details in [242] and [28].

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()

Returns

number of fourier descriptors

getFDSize()#

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

Returns

number of fourier descriptors used for optimal curve matching

setCtrSize()#

void cv::ximgproc::ContourFitting::setCtrSize(int n)

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)

set number of Fourier descriptors when estimateTransformation used vector

Parameters

n — number of fourier descriptors used for optimal curve matching.

Member Data Documentation#

a#

std::vector< std::complex< double > > cv::ximgproc::ContourFitting::a

b#

std::vector< std::complex< double > > cv::ximgproc::ContourFitting::b

ctrSize#

int cv::ximgproc::ContourFitting::ctrSize

fdSize#

int cv::ximgproc::ContourFitting::fdSize

frequence#

std::vector< double > cv::ximgproc::ContourFitting::frequence

psi#

std::vector< double > cv::ximgproc::ContourFitting::psi

rho#

std::vector< double > cv::ximgproc::ContourFitting::rho

Source file#

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

opencv2/ximgproc/fourier_descriptors.hpp