dog.h

/*

    This file is part of the FAST-ER machine learning system.
    Copyright (C) 2008  Edward Rosten and Los Alamos National Laboratory

    This program is free software; you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation; either version 2 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License along
    with this program; if not, write to the Free Software Foundation, Inc.,
    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
*/
#ifndef DOG_H
#define DOG_H

#include <cvd/image.h>
#include <cvd/byte.h>
#include <vector>
#include <utility>

#include "detectors.h"

///Class wrapping the Difference of Gaussians detector.
///@ingroup gDetect
struct dog: public DetectN
{
    ///Detect corners
    ///@param i Image in which to detect corners
    ///@param c Detected corners are inserted in to this container
    ///@param N Number of corners to detect
    virtual void operator()(const CVD::Image<CVD::byte>& i, std::vector<CVD::ImageRef>& c, unsigned int N) const;
};

///Class wrapping the Harris-Laplace detector.
///@ingroup gDetect
struct harrisdog: public DetectN
{
    ///Detecto corners
    ///@param i Image in which to detect corners
    ///@param c Detected corners are inserted in to this container
    ///@param N Number of corners to detect
    virtual void operator()(const CVD::Image<CVD::byte>& i, std::vector<CVD::ImageRef>& c, unsigned int N) const;
};

#endif

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