FuncMatrixKernel.hpp

/*
 * FuncMatrixKernel.hpp
 * 
 * Copyright 2018 Fernando Pujaico Rivera <fernando.pujaico.rivera@gmail.com>
 * 
 * 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 __PDS_MATRIXFUNCKERNEL_HPP__
#define __PDS_MATRIXFUNCKERNEL_HPP__
 
 
#include <Pds/Matrix>
 
 
namespace Pds{
 
namespace Kernel2D{
 
    Pds::Matrix Gaussian(unsigned int k, double Sigma=1.0);
    
    double GaussianSigmaFit(unsigned int rm,unsigned int r);
    
    Pds::Matrix GaussianDiff(unsigned int k, double Sigma1=1.0, double Sigma2=1.2);
    
    Pds::Matrix Gabor(  unsigned int L, 
                        double Vmax=6.0,
                        double Sigma=5.5, 
                        double Theta=Pds::Ra::Pi/4, 
                        double Lambda=4.0, 
                        double Psi=0.0);
    
    
    Pds::Matrix qGabor( unsigned int L, 
                        double Vmax=6.0,
                        double q=0.1,
                        double Sigma=5.5, 
                        double Theta=Pds::Ra::Pi/4, 
                        double Lambda=4.0, 
                        double Psi=0);
    
    Pds::Matrix SobelH(void); 
    
    Pds::Matrix SobelV(void);
    
    Pds::Matrix PrewittH(void); 
    
    Pds::Matrix PrewittV(void);
    
    
    Pds::Matrix Laplacian5P(void);
    
    
    Pds::Matrix Laplacian9P(void);
    
    Pds::Matrix Mean(unsigned int L);
    
}//Kernel2D
 
}//Pds
#endif