Public Member Functions
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)
	GaborFilterBank (int M=4, int N=6, double U_l=0.05, double U_h=0.4, int gabor_size=7)
Protected Member Functions
void	calcSampleVar ()
void	generateGaborFilters ()
Protected Attributes
std::vector< std::vector < std::vector< double > > >	alpha_base_mu_
std::vector< std::vector < std::vector< double > > >	alpha_base_sigma_
std::vector< std::vector < double > >	alpha_mu_
std::vector< std::vector < double > >	alpha_sigma_
bool	calc_var_
std::vector< std::vector < cv::Mat > >	gabor_c_
int	gabor_size_
int	M_
int	N_
double	U_h_
double	U_l_

Detailed Description

Definition at line 46 of file gabor_filter_bank.h.

Constructor & Destructor Documentation

cpl_visual_features::GaborFilterBank::GaborFilterBank	(	int	M = `4`,
		int	N = `6`,
		double	U_l = `0.05`,
		double	U_h = `0.4`,
		int	gabor_size = `7`
	)

Cunstroctor for FilterBank class. Has default values based on the manjunathi-pami1996 paper.

Parameters:

M	number of scale
N	number of orientations
U_l	lower frequency center of interest
U_h	upper frequency center of interest
gabor_size	convolution filter size

Definition at line 47 of file gabor_filter_bank.cpp.

void cpl_visual_features::GaborFilterBank::calcSampleVar ( ) [protected]

Method to calculate the sample variances for the extracted features.

Definition at line 242 of file gabor_filter_bank.cpp.

vector< double > cpl_visual_features::GaborFilterBank::extractFeature ( cv::Mat & frame )

Extract a texture feature from the given image using the filter bank.

Parameters:

frame The image to extract the texture feature

Definition at line 176 of file gabor_filter_bank.cpp.

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

Determine the distance between two feature vectors, taking into account the distribution of all feature vectors

Parameters:

f1	The first feature vector
f2	The second feature vector

Definition at line 218 of file gabor_filter_bank.cpp.

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

Convolve the given image with the specified real or imaginary gabor filter at scale m and orientation n

Parameters:

img	The image with which to convolve the filter
m	The scale of the filter to use (0 <= m < M_)
n	The orientation of the filter to use (0 <= n < N_)
use_real	true for real component filter, false for the imaginary