Gabor Filter (2D)

A 2D Gabor filter implementation. More...

Detailed Description

A 2D Gabor filter implementation.

Texture analysis with the computation of a Gabor filter

See also

Gabor Filter on Wikipedia

Author

Vincent Morard

Jose-Marcio Martins da Cruz (port from Morph-M)

Collaboration diagram for Gabor Filter (2D):

Functions
template<class T >
RES_T	gaborFilterConvolution (const Image< T > &imIn, double sigma, double theta, double lambda, double psi, double gamma, Image< T > &imOut)
	gaborFilterConvolution Gabor Filter
template<class T >
RES_T	gaborFilterConvolutionNorm (const Image< T > &imIn, double sigma, double theta, double lambda, double psi, double gamma, double Min, double Max, Image< T > &imOut, Image< T > &imGabor)
	gaborFilterConvolutionNorm Gabor Filter (normalized between Min and Max)
template<class T >
RES_T	gaborFilterConvolutionNormAuto (const Image< T > &imIn, double sigma, double theta, double lambda, double psi, double gamma, double *Min, double *Max, Image< T > &imOut, Image< T > &imGabor)
	gaborFilterConvolutionNormAuto Gabor Filter (automatically normalized)

Function Documentation

gaborFilterConvolution()

template<class T >

RES_T gaborFilterConvolution	(	const Image< T > &	imIn,
		double	sigma,
		double	theta,
		double	lambda,
		double	psi,
		double	gamma,
		Image< T > &	imOut
	)

gaborFilterConvolution Gabor Filter

Parameters

[in]	imIn	: input Image
[in]	sigma	: size of the gaussian
[in]	theta	: orientation of the kernel (in rad)
[in]	lambda	: frequency of the cos
[in]	psi	: phase of the cos (in rad)
[in]	gamma	: anisotropy of the kernel
[out]	imOut	: output Image (must be F_SIMPLE or F_DOUBLE ???)

gaborFilterConvolutionNorm()

template<class T >

RES_T gaborFilterConvolutionNorm	(	const Image< T > &	imIn,
		double	sigma,
		double	theta,
		double	lambda,
		double	psi,
		double	gamma,
		double	Min,
		double	Max,
		Image< T > &	imOut,
		Image< T > &	imGabor
	)

gaborFilterConvolutionNorm Gabor Filter (normalized between Min and Max)

Parameters

[in]	imIn	: input Image
[in]	sigma	: size of the gaussian
[in]	theta	: orientation of the kernel (in rad)
[in]	lambda	: frequency of the cos
[in]	psi	: phase of the cos (in rad)
[in]	gamma	: anisotropy of the kernel
[in]	Min	:
[in]	Max	:
[out]	imOut	: output Image (must be F_SIMPLE or F_DOUBLE ???)
[out]	imGabor	: output Image (must be F_SIMPLE or F_DOUBLE ???)

gaborFilterConvolutionNormAuto()

template<class T >

RES_T gaborFilterConvolutionNormAuto	(	const Image< T > &	imIn,
		double	sigma,
		double	theta,
		double	lambda,
		double	psi,
		double	gamma,
		double *	Min,
		double *	Max,
		Image< T > &	imOut,
		Image< T > &	imGabor
	)

gaborFilterConvolutionNormAuto Gabor Filter (automatically normalized)

Parameters

[in]	imIn	: input Image
[in]	sigma	: size of the gaussian
[in]	theta	: orientation of the kernel (in rad)
[in]	lambda	: frequency of the cos
[in]	psi	: phase of the cos (in rad)
[in]	gamma	: anisotropy of the kernel
[out]	Min	:
[out]	Max	:
[out]	imOut	: output Image (must be F_SIMPLE or F_DOUBLE ???)
[out]	imGabor	: output Image (must be F_SIMPLE or F_DOUBLE ???)