Hough Transform

Overview

// classes

class cv::cuda::HoughCirclesDetector;
class cv::cuda::HoughLinesDetector;
class cv::cuda::HoughSegmentDetector;

// global functions

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

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

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

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

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

Detailed Documentation

Global Functions

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

Creates implementation for generalized hough transform from [3].

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

Creates implementation for generalized hough transform from [35].

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.

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.

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

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.

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

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.