cv::line_descriptor::LSDDetector Class Reference

#include <opencv2/line_descriptor/descriptor.hpp>

Collaboration diagram for cv::line_descriptor::LSDDetector:

Public Member Functions
	LSDDetector ()
	LSDDetector (LSDParam _params)
void	detect (const Mat &image, std::vector< KeyLine > &keypoints, int scale, int numOctaves, const Mat &mask=Mat())
	Detect lines inside an image.
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.
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 (FileStorage &fs, const String &name) const

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

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

Constructor & Destructor Documentation

LSDDetector() [1/2]

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

inline

Python:
	cv.line_descriptor.LSDDetector(	_params	) ->	<line_descriptor_LSDDetector object>

LSDDetector() [2/2]

cv::line_descriptor::LSDDetector::LSDDetector ( LSDParam _params )

inline

Python:
	cv.line_descriptor.LSDDetector(	_params	) ->	<line_descriptor_LSDDetector object>

Member Function Documentation

createLSDDetector() [1/2]

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

static

Python:
	cv.line_descriptor.LSDDetector.createLSDDetector(		) ->	retval
	cv.line_descriptor.LSDDetector.createLSDDetectorWithParams(	params	) ->	retval
	cv.line_descriptor.LSDDetector_createLSDDetector(		) ->	retval
	cv.line_descriptor.LSDDetector_createLSDDetectorWithParams(	params	) ->	retval

Creates ad LSDDetector object, using smart pointers.

createLSDDetector() [2/2]

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

static

Python:
	cv.line_descriptor.LSDDetector.createLSDDetector(		) ->	retval
	cv.line_descriptor.LSDDetector.createLSDDetectorWithParams(	params	) ->	retval
	cv.line_descriptor.LSDDetector_createLSDDetector(		) ->	retval
	cv.line_descriptor.LSDDetector_createLSDDetectorWithParams(	params	) ->	retval

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:
	cv.line_descriptor.LSDDetector.detect(	image, scale, numOctaves[, mask]	) ->	keypoints
	cv.line_descriptor.LSDDetector.detect(	images, keylines, scale, numOctaves[, masks]	) ->	None

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:
	cv.line_descriptor.LSDDetector.detect(	image, scale, numOctaves[, mask]	) ->	keypoints
	cv.line_descriptor.LSDDetector.detect(	images, keylines, scale, numOctaves[, masks]	) ->	None

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:

• opencv2/line_descriptor/descriptor.hpp