#include "descriptor.hpp"

Inheritance diagram for cv::line_descriptor::LSDDetector:

Public Member Functions
	LSDDetector ()

void	detect (const Mat &image, std::vector< KeyLine > &keypoints, int scale, int numOctaves, const Mat &mask=Mat())
	Detect lines inside an image. More...

void	detect (const std::vector< Mat > &images, std::vector< std::vector< KeyLine > > &keylines, int scale, int numOctaves, const std::vector< Mat > &masks=std::vector< Mat >()) const

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
static Ptr< LSDDetector >	createLSDDetector ()
	Creates ad LSDDetector object, using smart pointers. More...

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. More...

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Lines extraction methodology

The lines extraction methodology described in the following is mainly based on [207] . The extraction starts with a Gaussian pyramid generated from an original image, downsampled N-1 times, blurred N times, to obtain N layers (one for each octave), with layer 0 corresponding to input image. Then, from each layer (octave) in the pyramid, lines are extracted using LSD algorithm.

Differently from EDLine lines extractor used in original article, LSD furnishes information only about lines extremes; thus, additional information regarding slope and equation of line are computed via analytic methods. The number of pixels is obtained using LineIterator. Extracted lines are returned in the form of KeyLine objects, but since extraction is based on a method different from the one used in BinaryDescriptor class, data associated to a line's extremes in original image and in octave it was extracted from, coincide. KeyLine's field class_id is used as an index to indicate the order of extraction of a line inside a single octave.

Constructor & Destructor Documentation

§ LSDDetector()

cv::line_descriptor::LSDDetector::LSDDetector ( )

inline

Member Function Documentation

§ createLSDDetector()

static Ptr<LSDDetector> cv::line_descriptor::LSDDetector::createLSDDetector ( )

static

Python:
	retval	=	cv.line_descriptor.LSDDetector_createLSDDetector(		)

Creates ad LSDDetector object, using smart pointers.

§ detect() [1/2]

void cv::line_descriptor::LSDDetector::detect	(	const Mat &	image,
		std::vector< KeyLine > &	keypoints,
		int	scale,
		int	numOctaves,
		const Mat &	mask = `Mat()`
	)

Python:
	keypoints	=	cv.line_descriptor_LSDDetector.detect(	image, scale, numOctaves[, mask]	)
	None	=	cv.line_descriptor_LSDDetector.detect(	images, keylines, scale, numOctaves[, masks]	)

Detect lines inside an image.

Parameters

image	input image
keypoints	vector that will store extracted lines for one or more images
scale	scale factor used in pyramids generation
numOctaves	number of octaves inside pyramid
mask	mask matrix to detect only KeyLines of interest

§ detect() [2/2]

void cv::line_descriptor::LSDDetector::detect	(	const std::vector< Mat > &	images,
		std::vector< std::vector< KeyLine > > &	keylines,
		int	scale,
		int	numOctaves,
		const std::vector< Mat > &	masks = `std::vector< Mat >()`
	)		const

Python:
	keypoints	=	cv.line_descriptor_LSDDetector.detect(	image, scale, numOctaves[, mask]	)
	None	=	cv.line_descriptor_LSDDetector.detect(	images, keylines, scale, numOctaves[, masks]	)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

images	input images
keylines	set of vectors that will store extracted lines for one or more images
scale	scale factor used in pyramids generation
numOctaves	number of octaves inside pyramid
masks	vector of mask matrices to detect only KeyLines of interest from each input image

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

/build/master-contrib_docs-lin64/opencv_contrib/modules/line_descriptor/include/opencv2/line_descriptor/descriptor.hpp

Public Member Functions

Static Public Member Functions

Additional Inherited Members