Base class for lines detector algorithm. : More...

#include "cudaimgproc.hpp"

Inheritance diagram for cv::cuda::HoughLinesDetector:

Public Member Functions
virtual void	detect (InputArray src, OutputArray lines, Stream &stream=Stream::Null())=0
	Finds lines in a binary image using the classical Hough transform. More...

virtual void	downloadResults (InputArray d_lines, OutputArray h_lines, OutputArray h_votes=noArray(), Stream &stream=Stream::Null())=0
	Downloads results from cuda::HoughLinesDetector::detect to host memory. More...

virtual bool	getDoSort () const =0

virtual int	getMaxLines () const =0

virtual float	getRho () const =0

virtual float	getTheta () const =0

virtual int	getThreshold () const =0

virtual void	setDoSort (bool doSort)=0

virtual void	setMaxLines (int maxLines)=0

virtual void	setRho (float rho)=0

virtual void	setTheta (float theta)=0

virtual void	setThreshold (int threshold)=0

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...

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. 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...

Detailed Description

Base class for lines detector algorithm. :

Member Function Documentation

virtual void cv::cuda::HoughLinesDetector::detect	(	InputArray	src,
		OutputArray	lines,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Finds lines in a binary image using the classical Hough transform.

Parameters

src	8-bit, single-channel binary source image.
lines	Output vector of lines. Each line is represented by a two-element vector \((\rho, \theta)\) . \(\rho\) is the distance from the coordinate origin \((0,0)\) (top-left corner of the image). \(\theta\) is the line rotation angle in radians ( \(0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\) ).
stream	Stream for the asynchronous version.

virtual void cv::cuda::HoughLinesDetector::downloadResults	(	InputArray	d_lines,
		OutputArray	h_lines,
		OutputArray	h_votes = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

pure virtual

Downloads results from cuda::HoughLinesDetector::detect to host memory.

Parameters

d_lines	Result of cuda::HoughLinesDetector::detect .
h_lines	Output host array.
h_votes	Optional output array for line's votes.
stream	Stream for the asynchronous version.

virtual bool cv::cuda::HoughLinesDetector::getDoSort ( ) const

pure virtual

virtual int cv::cuda::HoughLinesDetector::getMaxLines ( ) const

pure virtual

virtual float cv::cuda::HoughLinesDetector::getRho ( ) const

pure virtual

virtual float cv::cuda::HoughLinesDetector::getTheta ( ) const

pure virtual

virtual int cv::cuda::HoughLinesDetector::getThreshold ( ) const

pure virtual

virtual void cv::cuda::HoughLinesDetector::setDoSort ( bool doSort )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setMaxLines ( int maxLines )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setRho ( float rho )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setTheta ( float theta )

pure virtual

virtual void cv::cuda::HoughLinesDetector::setThreshold ( int threshold )

pure virtual

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