DifferentialOp.h

/*
 
MIT License
 
Copyright (c) 2017 FMI Open Development / Markus Peura, first.last@fmi.fi
 
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
 
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
 
*/
/*
Part of Rack development has been done in the BALTRAD projects part-financed
by the European Union (European Regional Development Fund and European
Neighbourhood Partnership Instrument, Baltic Sea Region Programme 2007-2013)
*/
#ifndef GradientOP_H_
#define GradientOP_H_
 
 
#include <math.h>
 
#include "ImageOp.h"
 
namespace drain
{
 
namespace image
{
 
 
 
// TODO: consider changing "span=2" to "radius=1"
class DifferentialOp : public ImageOp
{
 
public:
 
    virtual
    void traverseChannels(const ImageTray<const Channel> & src, ImageTray<Channel> & dst) const;
 
    virtual
    void getDstConf(const ImageConf & src, ImageConf & dst) const;
    //void makeCompatible(const ImageFrame & src, Image & dst) const;
 
 
protected:
 
    inline
    DifferentialOp(const std::string & name, const std::string & description, size_t channels=1, int radius=1) : // , double scale=1.0, double bias=0.0
            ImageOp(name, description), channels(channels) {
        //parameters.link("span",  this->span = span, "pix");
        parameters.link("radius",  this->radius = radius, "pix");
        parameters.link("LIMIT",  this->LIMIT = true, "0|1");
    };
 
    inline
    DifferentialOp(const DifferentialOp & op) : ImageOp(op), radius(op.radius), channels(op.channels), LIMIT(op.LIMIT)  {
        parameters.copyStruct(op.getParameters(), op, *this);
    };
 
 
    // double bias;
    // double scale;
    // int span;
    int radius;
 
    const size_t channels;
 
public:
 
    bool LIMIT;
 
protected:
 
 
    // Consider image range limited by 1 pix, to skip CoordinateHandler::validate() .
    virtual
    void traverse(const Channel & src, Channel & dst, int di, int dj) const = 0;
 
 
    inline
    void traverseHorz(const Channel & src, Channel & dst) const {
        traverse(src, dst, radius, 0);
    }
 
    inline
    void traverseVert(const Channel & src, Channel & dst) const {
        traverse(src, dst, 0, radius);
    }
 
};
 
 
 
class GradientOp : public DifferentialOp
{
public:
 
    GradientOp(int radius=1) : DifferentialOp(__FUNCTION__,
            "Computes horizontal and vertical derivatives: df/di and df/dj.", 2, radius) { // , scale, bias
    };
 
    GradientOp(const GradientOp & op) : DifferentialOp(op){
    }
 
 
protected:
 
    GradientOp(const std::string & name, const std::string & description, size_t channels=1 ,  int radius=1) :
        DifferentialOp(name, description, channels, radius){
    };
 
    virtual
    void traverse(const Channel & src, Channel & dst, int di, int dj) const;
 
};
 
class GradientHorzOp : public GradientOp
{
public:
    
    GradientHorzOp(int radius=1) :
        GradientOp(__FUNCTION__, "Horizontal intensity difference", 1, radius){};
 
    inline
    void traverseChannel(const Channel &src, Channel & dst) const {
        traverseHorz(src, dst);
    }
 
};
 
class GradientVertOp : public GradientOp
{
public:
    
    inline
    GradientVertOp(int radius=1) : // double scale=1.0, double bias=0.0,
        GradientOp(__FUNCTION__, "Vertical intensity difference", 1 , radius){}; // , scale, bias
 
    inline
    void traverseChannel(const Channel &src, Channel & dst) const {
        traverseVert(src, dst);
    }
 
};
 
 
 
class LaplaceOp : public DifferentialOp {
 
public:
 
    LaplaceOp(int radius=1) : DifferentialOp(__FUNCTION__, "Second intensity derivatives, (df/di)^2 and (df/dj)^2", 2, radius){
    }
 
protected:
 
    LaplaceOp(const std::string & name, const std::string & description, int radius=1) : DifferentialOp(name, description, 1, radius){
    }
 
    virtual
    void traverse(const Channel &src, Channel &dst, int di, int dj) const;
    //void traverse(const ImageFrame &src, ImageFrame &dst, int diLow, int djLow, int diHigh, int djHigh) const;
 
};
 
 
class LaplaceHorzOp : public LaplaceOp
{
public:
 
    inline
    LaplaceHorzOp(int radius=1) : LaplaceOp(__FUNCTION__, "Second horizontal differential"){
        this->radius = radius;
    };
 
    inline
    void traverseChannel(const Channel &src, Channel & dst) const {
        traverseHorz(src, dst);
    };
 
};
 
 
class LaplaceVertOp : public LaplaceOp
{
public:
 
    inline
    LaplaceVertOp(int radius=1) : LaplaceOp(__FUNCTION__, "Second vertical differential"){
        this->radius = radius;
    };
 
 
    inline
    void traverseChannel(const Channel &src, Channel & dst) const {
        traverseVert(src, dst);
    };
 
};
 
}
}
 
 
#endif /*GradientOP_H_*/
 
// Drain