ExampleGenerateGauss.cpp

Example for convolution of two matrices

Author

woelk 01/2008 (c) www. vision-n.de

/* This file is part of the BIAS library (Basic ImageAlgorithmS).

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   Multimediale Systeme der Informationsverarbeitung
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/**
   @example ExampleGenerateGauss.cpp
   @relates GenerateGauss
   @brief Example for convolution of two matrices
   @ingroup g_examples
   @author woelk 01/2008 (c) www. vision-n.de 
*/    

#include <Base/Math/GenerateGauss.hh>
#include <Base/Math/Vector.hh>
#include <Base/Math/Matrix.hh>

#include <iostream>

using namespace BIAS;
using namespace std;

int main(int argc, char *argv[])
{
  int size = 5;
  double sigma = 2.0;
  Vector<double> vg;
  Matrix<double> mg;
  bool normalize = true;

  /// generation using sigma and size
  GenerateGauss::Gauss1D(size, sigma, vg, normalize);
  if (normalize) cout << "normalized ";
  cout << "gauss vector of size "<<size<<" with sigma "<<sigma<<" : "<<vg<<endl;

  GenerateGauss::Gauss2D(size, sigma, mg, normalize);
  if (normalize) cout << "normalized ";
  cout << "gauss matrix of size "<<size<<"x"<<size<<" with sigma "<<sigma
       <<" : "<<mg<<endl;
  
  /// generation using size and ratio
  double ratio = 1e-2;
  GenerateGauss::Gauss1DSize(size, ratio, vg, sigma, normalize);
  if (normalize) cout << "normalized ";
  cout << "gauss vector of size "<<size<<" with ratio "<<ratio
       <<" results in sigma "<<sigma<<" : "<<vg<<endl;

  GenerateGauss::Gauss2DSize(size, ratio, mg, sigma, normalize);
  if (normalize) cout << "normalized ";
  cout << "gauss matrix of size "<<size<<"x"<<size<<" with ratio "<<ratio
       <<" results in sigma "<<sigma<<" : "<<mg<<endl;

  /// generation using sigma and ratio
  sigma = 1.0;
  GenerateGauss::Gauss1DSigma(sigma, ratio, vg, normalize);
  if (normalize) cout << "normalized ";
  cout << "gauss vector with sigma "<<sigma<<" and ratio "<<ratio
       <<" results in size "<<vg.size()<<" : "<<vg<<endl;

  GenerateGauss::Gauss2DSigma(sigma, ratio, mg, normalize);
  if (normalize) cout << "normalized ";
  cout << "gauss matrix with sigma "<<sigma<<" and ratio "<<ratio
       <<" results in size "<<mg.num_rows()<<"x"<<mg.num_cols()<<" : "
       <<mg<<endl;
  

  

  return 0;
}