gabor_filter_bank.h

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#ifndef gabor_filter_bank_h_DEFINED
#define gabor_filter_bank_h_DEFINED

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <vector>
#include <iostream>

namespace cpl_visual_features
{
class GaborFilterBank
{
 public:
  GaborFilterBank(int M=4, int N = 6, double U_l = 0.05, double U_h = 0.4,
                  int gabor_size = 7);

  std::vector<double> extractFeature(cv::Mat& frame);

  double featureDist(std::vector<double> f1, std::vector<double> f2);

  cv::Mat filterImg(cv::Mat& img, int m, int n, bool use_real=true);

 protected:

  void generateGaborFilters();

  void calcSampleVar();

  //
  // Class Members
  //
  
  int M_; // Number of scale factors
  int N_; // Number of orientations
  double U_l_; // lower center frequency of interest
  double U_h_; // upper center frequency of interest
  int gabor_size_; // Pixel width of the gabor filter
  std::vector<std::vector<cv::Mat> > gabor_c_; // Complex gabor filters

  // Vectors to store all extracted means and variances for calculation of the
  // Sample variances
  std::vector<std::vector<std::vector<double> > > alpha_base_mu_;
  std::vector<std::vector<std::vector<double> > > alpha_base_sigma_;
  // The vectors to store the smaple variances once calulcated
  std::vector<std::vector <double> > alpha_mu_;
  std::vector<std::vector <double> > alpha_sigma_;

  bool calc_var_; // Trigger for needing to recalculate the sample variances

};
}

#endif // gabor_filter_bank_h_DEFINED