Hough Transform

Detailed Description

Classes
class	cv::cuda::HoughCirclesDetector
	Base class for circles detector algorithm. : More...
class	cv::cuda::HoughLinesDetector
	Base class for lines detector algorithm. : More...
class	cv::cuda::HoughSegmentDetector
	Base class for line segments detector algorithm. : More...

Functions
Ptr< GeneralizedHoughBallard >	cv::cuda::createGeneralizedHoughBallard ()
	Creates implementation for generalized hough transform from [15] .
Ptr< GeneralizedHoughGuil >	cv::cuda::createGeneralizedHoughGuil ()
	Creates implementation for generalized hough transform from [114] .
Ptr< HoughCirclesDetector >	cv::cuda::createHoughCirclesDetector (float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles=4096)
	Creates implementation for cuda::HoughCirclesDetector .
Ptr< HoughLinesDetector >	cv::cuda::createHoughLinesDetector (float rho, float theta, int threshold, bool doSort=false, int maxLines=4096)
	Creates implementation for cuda::HoughLinesDetector .
Ptr< HoughSegmentDetector >	cv::cuda::createHoughSegmentDetector (float rho, float theta, int minLineLength, int maxLineGap, int maxLines=4096, int threshold=-1)
	Creates implementation for cuda::HoughSegmentDetector .

Function Documentation

createGeneralizedHoughBallard()

Ptr< GeneralizedHoughBallard > cv::cuda::createGeneralizedHoughBallard

(

)

#include <opencv2/cudaimgproc.hpp>

Creates implementation for generalized hough transform from [15] .

createGeneralizedHoughGuil()

Ptr< GeneralizedHoughGuil > cv::cuda::createGeneralizedHoughGuil

(

)

#include <opencv2/cudaimgproc.hpp>

Creates implementation for generalized hough transform from [114] .

createHoughCirclesDetector()

Ptr< HoughCirclesDetector > cv::cuda::createHoughCirclesDetector	(	float	dp,
		float	minDist,
		int	cannyThreshold,
		int	votesThreshold,
		int	minRadius,
		int	maxRadius,
		int	maxCircles = 4096
	)

#include <opencv2/cudaimgproc.hpp>

Creates implementation for cuda::HoughCirclesDetector .

Parameters

dp	Inverse ratio of the accumulator resolution to the image resolution. For example, if dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has half as big width and height.
minDist	Minimum distance between the centers of the detected circles. If the parameter is too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is too large, some circles may be missed.
cannyThreshold	The higher threshold of the two passed to Canny edge detector (the lower one is twice smaller).
votesThreshold	The accumulator threshold for the circle centers at the detection stage. The smaller it is, the more false circles may be detected.
minRadius	Minimum circle radius.
maxRadius	Maximum circle radius.
maxCircles	Maximum number of output circles.

createHoughLinesDetector()

Ptr< HoughLinesDetector > cv::cuda::createHoughLinesDetector	(	float	rho,
		float	theta,
		int	threshold,
		bool	doSort = false,
		int	maxLines = 4096
	)

#include <opencv2/cudaimgproc.hpp>

Creates implementation for cuda::HoughLinesDetector .

Parameters

rho	Distance resolution of the accumulator in pixels.
theta	Angle resolution of the accumulator in radians.
threshold	Accumulator threshold parameter. Only those lines are returned that get enough votes ( \(>\texttt{threshold}\) ).
doSort	Performs lines sort by votes.
maxLines	Maximum number of output lines.

createHoughSegmentDetector()

Ptr< HoughSegmentDetector > cv::cuda::createHoughSegmentDetector	(	float	rho,
		float	theta,
		int	minLineLength,
		int	maxLineGap,
		int	maxLines = 4096,
		int	threshold = -1
	)

#include <opencv2/cudaimgproc.hpp>

Creates implementation for cuda::HoughSegmentDetector .

Parameters

rho	Distance resolution of the accumulator in pixels.
theta	Angle resolution of the accumulator in radians.
minLineLength	Minimum line length. Line segments shorter than that are rejected.
maxLineGap	Maximum allowed gap between points on the same line to link them.
maxLines	Maximum number of output lines.
threshold	Accumulator threshold parameter. Only those lines are returned that get enough votes ( \(>\texttt{threshold}\) ).