Namespace of linear image processing routines implementation details. More...

Namespaces
namespace	generic
Classes
struct	recursivefilter_coef_
Typedefs
typedef float	norm_fun (float, float, float, float, float, float, float, float, float, float, int &)
Functions
float	gaussian_1st_deriv_coef_norm_ (float a0, float a1, float b0, float b1, float c0, float c1, float cos0, float sin0, float cos1, float sin1, int &sign)
float	gaussian_2nd_deriv_coef_norm_ (float a0, float a1, float b0, float b1, float c0, float c1, float cos0, float sin0, float cos1, float sin1, int &sign)
float	gaussian_norm_coef_ (float a0, float a1, float b0, float b1, float c0, float c1, float cos0, float sin0, float cos1, float sin1, int &sign)
template<class I , class F >
void	generic_filter_ (trait::image::dimension::three_d, Image< I > &img_, const F &coef, int dir)
template<class I , class F >
void	generic_filter_ (trait::image::dimension::one_d, Image< I > &img_, const F &coef, int dir)
template<class I , class F >
void	generic_filter_ (trait::image::dimension::two_d, Image< I > &img_, const F &coef, int dir)
template<class I , class F , class O >
void	generic_filter_common_ (trait::value::nature::vectorial, const Image< I > &in, const F &coef, float sigma, Image< O > &out)
template<class I , class F , class O >
void	generic_filter_common_ (trait::value::nature::floating, const Image< I > &in, const F &coef, float sigma, Image< O > &out)
template<class I , class F , class O >
void	generic_filter_common_ (trait::value::nature::scalar, const Image< I > &in, const F &coef, float sigma, Image< O > &out)
template<class I , class F , class O >
void	generic_filter_common_ (trait::value::nature::scalar, const Image< I > &in, const F &coef, float sigma, Image< O > &out, int dir)
template<class I , class F , class O >
void	generic_filter_common_ (trait::value::nature::vectorial, const Image< I > &in, const F &coef, float sigma, Image< O > &out, int dir)
template<class I , class F , class O >
void	generic_filter_common_ (trait::value::nature::floating, const Image< I > &in, const F &coef, float sigma, Image< O > &out, int dir)
template<typename I , typename W >
	mln_ch_convolve (I, W) convolve_fastest(const Image< I > &input_
template<class WorkType , class I >
void	recursivefilter_ (I &ima, const recursivefilter_coef_ &c, const typename I::psite &start, const typename I::psite &finish, int len, const typename I::psite::delta &d)

Detailed Description

Namespace of linear image processing routines implementation details.

Typedef Documentation

typedef float mln::linear::impl::norm_fun(float, float, float, float, float, float, float, float, float, float, int &)

Definition at line 85 of file gaussian.hh.

Function Documentation

float mln::linear::impl::gaussian_1st_deriv_coef_norm_	(	float	a0,
		float	a1,
		float	b0,
		float	b1,
		float	c0,
		float	c1,
		float	cos0,
		float	sin0,
		float	cos1,
		float	sin1,
		int &	sign
	)			`[inline]`

Definition at line 300 of file gaussian.hh.

Referenced by mln::linear::gaussian_1st_derivative().

float mln::linear::impl::gaussian_2nd_deriv_coef_norm_	(	float	a0,
		float	a1,
		float	b0,
		float	b1,
		float	c0,
		float	c1,
		float	cos0,
		float	sin0,
		float	cos1,
		float	sin1,
		int &	sign
	)			`[inline]`

Definition at line 332 of file gaussian.hh.

Referenced by mln::linear::gaussian_2nd_derivative().

float mln::linear::impl::gaussian_norm_coef_	(	float	a0,
		float	a1,
		float	b0,
		float	b1,
		float	c0,
		float	c1,
		float	cos0,
		float	sin0,
		float	cos1,
		float	sin1,
		int &	sign
	)			`[inline]`

Definition at line 272 of file gaussian.hh.

Referenced by mln::linear::gaussian().

template<class I , class F >

void mln::linear::impl::generic_filter_	(	trait::image::dimension::three_d	,
		Image< I > &	img_,
		const F &	coef,
		int	dir
	)			`[inline]`

Definition at line 430 of file gaussian.hh.

References mln::exact(), mln::geom::max_col(), mln::geom::max_row(), mln::geom::max_sli(), mln::geom::min_col(), mln::geom::min_row(), mln::geom::min_sli(), mln::geom::ncols(), mln::geom::nrows(), mln::geom::nslis(), and recursivefilter_().

template<class I , class F >

void mln::linear::impl::generic_filter_	(	trait::image::dimension::one_d	,
		Image< I > &	img_,
		const F &	coef,
		int	dir
	)			`[inline]`

Definition at line 372 of file gaussian.hh.

References mln::exact(), and mln::geom::ninds().

Referenced by generic_filter_common_().

template<class I , class F >

void mln::linear::impl::generic_filter_	(	trait::image::dimension::two_d	,
		Image< I > &	img_,
		const F &	coef,
		int	dir
	)			`[inline]`

Definition at line 390 of file gaussian.hh.

References mln::exact(), mln::geom::max_col(), mln::geom::max_row(), mln::geom::min_col(), mln::geom::min_row(), mln::geom::ncols(), mln::geom::nrows(), and recursivefilter_().