class cv::GeneralizedHoughBallard

Overview

Ballard, D.H. More…

#include <imgproc.hpp>

class GeneralizedHoughBallard: public cv::GeneralizedHough
{
public:
    // methods

    virtual
    int
    getLevels() const = 0;

    virtual
    int
    getVotesThreshold() const = 0;

    virtual
    void
    setLevels(int levels) = 0;

    virtual
    void
    setVotesThreshold(int votesThreshold) = 0;
};

Inherited Members

public:
    // methods

    virtual
    void
    clear();

    virtual
    bool
    empty() const;

    virtual
    String
    getDefaultName() const;

    virtual
    void
    read(const FileNode& fn);

    virtual
    void
    save(const String& filename) const;

    virtual
    void
    write(FileStorage& fs) const;

    template <typename _Tp>
    static
    Ptr<_Tp>
    load(
        const String& filename,
        const String& objname = String()
        );

    template <typename _Tp>
    static
    Ptr<_Tp>
    loadFromString(
        const String& strModel,
        const String& objname = String()
        );

    template <typename _Tp>
    static
    Ptr<_Tp>
    read(const FileNode& fn);

    virtual
    void
    detect(
        InputArray image,
        OutputArray positions,
        OutputArray votes = noArray()
        ) = 0;

    virtual
    void
    detect(
        InputArray edges,
        InputArray dx,
        InputArray dy,
        OutputArray positions,
        OutputArray votes = noArray()
        ) = 0;

    virtual
    int
    getCannyHighThresh() const = 0;

    virtual
    int
    getCannyLowThresh() const = 0;

    virtual
    double
    getDp() const = 0;

    virtual
    int
    getMaxBufferSize() const = 0;

    virtual
    double
    getMinDist() const = 0;

    virtual
    void
    setCannyHighThresh(int cannyHighThresh) = 0;

    virtual
    void
    setCannyLowThresh(int cannyLowThresh) = 0;

    virtual
    void
    setDp(double dp) = 0;

    virtual
    void
    setMaxBufferSize(int maxBufferSize) = 0;

    virtual
    void
    setMinDist(double minDist) = 0;

    virtual
    void
    setTemplate(
        InputArray templ,
        Point templCenter = Point(-1, -1)
        ) = 0;

    virtual
    void
    setTemplate(
        InputArray edges,
        InputArray dx,
        InputArray dy,
        Point templCenter = Point(-1, -1)
        ) = 0;

protected:
    // methods

    void
    writeFormat(FileStorage& fs) const;

Detailed Documentation

Ballard, D.H. (1981). Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition 13 (2): 111-122. Detects position only without translation and rotation

Methods

virtual
void
setLevels(int levels) = 0

R-Table levels.

virtual
void
setVotesThreshold(int votesThreshold) = 0

The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.