Fourier descriptors

Detailed Description

Classes
class	cv::ximgproc::ContourFitting
	Class for ContourFitting algorithms. ContourFitting match two contours \( z_a \) and \( z_b \) minimizing distance. More...

Functions
void	cv::ximgproc::contourSampling (InputArray src, OutputArray out, int nbElt)
	Contour sampling .
Ptr< ContourFitting >	cv::ximgproc::createContourFitting (int ctr=1024, int fd=16)
	create ContourFitting algorithm object
void	cv::ximgproc::fourierDescriptor (InputArray src, OutputArray dst, int nbElt=-1, int nbFD=-1)
	Fourier descriptors for planed closed curves.
void	cv::ximgproc::transformFD (InputArray src, InputArray t, OutputArray dst, bool fdContour=true)
	transform a contour

Function Documentation

contourSampling()

void cv::ximgproc::contourSampling	(	InputArray	src,
		OutputArray	out,
		int	nbElt
	)

Python:
	cv.ximgproc.contourSampling(	src, nbElt[, out]	) ->	out

#include <opencv2/ximgproc/fourier_descriptors.hpp>

Contour sampling .

Parameters

src	contour type vector<Point> , vector<Point2f> or vector<Point2d>
out	Mat of type CV_64FC2 and nbElt rows
nbElt	number of points in out contour

createContourFitting()

Ptr< ContourFitting > cv::ximgproc::createContourFitting	(	int	ctr = 1024,
		int	fd = 16
	)

Python:
	cv.ximgproc.createContourFitting(	[, ctr[, fd]]	) ->	retval

#include <opencv2/ximgproc/fourier_descriptors.hpp>

create ContourFitting algorithm object

Parameters

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

fourierDescriptor()

void cv::ximgproc::fourierDescriptor	(	InputArray	src,
		OutputArray	dst,
		int	nbElt = -1,
		int	nbFD = -1
	)

Python:
	cv.ximgproc.fourierDescriptor(	src[, dst[, nbElt[, nbFD]]]	) ->	dst

#include <opencv2/ximgproc/fourier_descriptors.hpp>

Fourier descriptors for planed closed curves.

For more details about this implementation, please see [219]

Parameters

src	contour type vector<Point> , vector<Point2f> or vector<Point2d>
dst	Mat of type CV_64FC2 and nbElt rows A VERIFIER
nbElt	number of rows in dst or getOptimalDFTSize rows if nbElt=-1
nbFD	number of FD return in dst dst = [FD(1...nbFD/2) FD(nbFD/2-nbElt+1...:nbElt)]

transformFD()

void cv::ximgproc::transformFD	(	InputArray	src,
		InputArray	t,
		OutputArray	dst,
		bool	fdContour = true
	)

Python:
	cv.ximgproc.transformFD(	src, t[, dst[, fdContour]]	) ->	dst

#include <opencv2/ximgproc/fourier_descriptors.hpp>

transform a contour

Parameters

src	contour or Fourier Descriptors if fd is true
t	transform Mat given by estimateTransformation
dst	Mat of type CV_64FC2 and nbElt rows
fdContour	true src are Fourier Descriptors. fdContour false src is a contour