Hough Transform#

Detailed Description#

Classes#

Name

Description

class cv::cuda::HoughCirclesDetector

Base class for circles detector algorithm. : View details

class cv::cuda::HoughLinesDetector

Base class for lines detector algorithm. : View details

class cv::cuda::HoughSegmentDetector

Base class for line segments detector algorithm. : View details

Function Documentation#

createGeneralizedHoughBallard()#

Ptr< GeneralizedHoughBallard > cv::cuda::createGeneralizedHoughBallard()

#include <opencv2/cudaimgproc.hpp>

Creates implementation for generalized hough transform from [18] .

createGeneralizedHoughGuil()#

Ptr< GeneralizedHoughGuil > cv::cuda::createGeneralizedHoughGuil()

#include <opencv2/cudaimgproc.hpp>

Creates implementation for generalized hough transform from [127] .

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 ( \(>\texttt{threshold}\) ).