mln::linear Namespace Reference

Namespace of linear image processing routines. More...

Classes
struct	ch_convolve
Namespaces
namespace	gaussian
namespace	impl
	Namespace of linear image processing routines implementation details.
namespace	internal
namespace	local
	Specializations of local linear routines.
namespace	my
Functions
template<typename I>
mln::trait::concrete< I >::ret	gaussian (const Image< I > &input, float sigma, int dir)
template<typename I>
mln::trait::concrete< I >::ret	gaussian (const Image< I > &input, float sigma)
	Gaussian filter of an image input.
template<typename I>
mln::trait::concrete< I >::ret	gaussian_1d (const Image< I > &input, double sigma, const typename I::value &bdr)
template<typename I>
mln::trait::concrete< I >::ret	gaussian_1st_derivative (const Image< I > &input, float sigma)
template<typename I>
mln::trait::concrete< I >::ret	gaussian_1st_derivative (const Image< I > &input, float sigma, int dir)
template<typename I>
mln::trait::concrete< I >::ret	gaussian_2nd_derivative (const Image< I > &input, float sigma)
template<typename I>
mln::trait::concrete< I >::ret	gaussian_2nd_derivative (const Image< I > &input, float sigma, int dir)
template<typename I>
mln::trait::concrete< I >::ret	gaussian_directional_2d (const Image< I > &input, unsigned dir, double sigma, const typename I::value &bdr)
template<typename I, typename W>
	mln_ch_convolve (I, W) convolve(const Image< I > &input
template<typename I>
	mln_ch_convolve_grad (I, int) sobel_2d(const Image< I > &input)
	Compute the vertical component of the 2D Sobel gradient.
template<typename I, typename C>
void	recursivefilter_directional_fastest (I &ima, const C &c, const typename I::psite &start, const typename I::psite &finish, int len, const typename I::psite::delta &d, const typename I::value &bdr)
template<typename I, typename C>
void	recursivefilter_directional_generic (I &ima, const C &c, const typename I::psite &start, const typename I::psite &finish, int len, const typename I::psite::delta &d)
template<typename I>
	mln_ch_convolve (I, int) sobel_2d_h(const Image< I > &input)
	Sobel_2d gradient components.
Variables
unsigned	dir
W(&	horizontal_weights )[Sh]
W(W(&	vertical_weights )[Sv]
const Weighted_Window< W > &	w_win
unsigned W(&	weights )[S]

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Detailed Description

Namespace of linear image processing routines.

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Function Documentation

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian	(	const Image< I > &	input,
		float	sigma,
		int	dir
	)			[inline]

Apply an approximated gaussian filter of sigma on input. on a specific direction dir if dir = 0, the filter is applied on the first image dimension. if dir = 1, the filter is applied on the second image dimension. And so on...

Precondition:

input.is_valid

dir < dimension(input)

Definition at line 653 of file gaussian.hh.

References mln::exact(), and mln::initialize().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian	(	const Image< I > &	input,
		float	sigma
	)			[inline]

Gaussian filter of an image input.

Precondition:

output.domain = input.domain

Apply an approximated gaussian filter of sigma on input. This filter is applied in all the input image direction.

Precondition:

input.is_valid

Definition at line 750 of file gaussian.hh.

References mln::exact(), and mln::initialize().

Referenced by mln::subsampling::gaussian_subsampling().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian_1d	(	const Image< I > &	input,
		double	sigma,
		const typename I::value &	bdr
	)			[inline]

Definition at line 60 of file gaussian_1d.hh.

References mln::extension::adjust_fill(), mln::linear::my::recursivefilter_coef_::DericheGaussian, mln::duplicate(), mln::trace::entering(), mln::exact(), mln::trace::exiting(), mln::geom::ninds(), and recursivefilter_directional_fastest().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian_1st_derivative	(	const Image< I > &	input,
		float	sigma
	)			[inline]

Apply an approximated first derivative gaussian filter of sigma on input This filter is applied in all the input image direction.

Precondition:

input.is_valid

Definition at line 779 of file gaussian.hh.

References mln::exact(), and mln::initialize().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian_1st_derivative	(	const Image< I > &	input,
		float	sigma,
		int	dir
	)			[inline]

Apply an approximated first derivative gaussian filter of sigma on input. on a specific direction dir if dir = 0, the filter is applied on the first image dimension. if dir = 1, the filter is applied on the second image dimension. And so on...

Precondition:

input.is_valid

dir < dimension(input)

Definition at line 685 of file gaussian.hh.

References mln::exact(), and mln::initialize().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian_2nd_derivative	(	const Image< I > &	input,
		float	sigma
	)			[inline]

Apply an approximated second derivative gaussian filter of sigma on input This filter is applied in all the input image direction.

Precondition:

input.is_valid

Definition at line 807 of file gaussian.hh.

References mln::exact(), and mln::initialize().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian_2nd_derivative	(	const Image< I > &	input,
		float	sigma,
		int	dir
	)			[inline]

Apply an approximated second derivative gaussian filter of sigma on input. on a specific direction dir if dir = 0, the filter is applied on the first image dimension. if dir = 1, the filter is applied on the second image dimension. And so on...

Precondition:

input.is_valid

dir < dimension(input)

Definition at line 718 of file gaussian.hh.

References mln::exact(), and mln::initialize().

template<typename I>

mln::trait::concrete< I >::ret mln::linear::gaussian_directional_2d	(	const Image< I > &	input,
		unsigned	dir,
		double	sigma,
		const typename I::value &	bdr
	)			[inline]

Definition at line 465 of file gaussian_directional_2d.hh.

References mln::extension::adjust_fill(), mln::linear::my::recursivefilter_coef_::DericheGaussian, mln::duplicate(), mln::trace::entering(), mln::exact(), mln::trace::exiting(), mln::geom::ncols(), mln::geom::nrows(), and recursivefilter_directional_fastest().

template<typename I>

mln::linear::mln_ch_convolve	(	I	,
		int
	)			const [inline]

Sobel_2d gradient components.

Compute the L1 norm of the 2D Sobel gradient.

Compute the vertical component of the 2D Sobel gradient.

Compute the horizontal component of the 2D Sobel gradient.

Definition at line 70 of file lap.hh.

References mln::trace::entering(), mln::exact(), mln::trace::exiting(), mln_ch_convolve(), and mln::make::w_window2d().

template<typename I, typename W>

mln::linear::mln_ch_convolve	(	I	,
		W
	)			const [inline]

Convolution of an image input by the weighted window w_win.

Warning:

Computation of output(p) is performed with the value type of output.

The weighted window is used as-is, considering that its symmetrization is handled by the client.

Precondition:

input.is_valid

Convolution of an image input by two weighted line-shapes windows.

Warning:

The weighted window is used as-is, considering that its symmetrization is handled by the client.

Precondition:

input.is_valid

Convolution of an image input by a line-shaped (directional) weighted window defined by the array of weights.

Warning:

Computation of output(p) is performed with the value type of output.

The weighted window is used as-is, considering that its symmetrization is handled by the client.

Precondition:

input.is_valid

Referenced by mln_ch_convolve(), and mln_ch_convolve_grad().

template<typename I>

mln::linear::mln_ch_convolve_grad	(	I	,
		int
	)			const [inline]

Compute the vertical component of the 2D Sobel gradient.

Definition at line 124 of file sobel_2d.hh.

References mln::trace::entering(), mln::exact(), mln::trace::exiting(), mln_ch_convolve(), and mln::data::transform().

template<typename I, typename C>

void mln::linear::recursivefilter_directional_fastest	(	I &	ima,
		const C &	c,
		const typename I::psite &	start,
		const typename I::psite &	finish,
		int	len,
		const typename I::psite::delta &	d,
		const typename I::value &	bdr
	)			[inline]

Definition at line 339 of file gaussian_directional_2d.hh.

Referenced by gaussian_1d(), and gaussian_directional_2d().

template<typename I, typename C>

void mln::linear::recursivefilter_directional_generic	(	I &	ima,
		const C &	c,
		const typename I::psite &	start,
		const typename I::psite &	finish,
		int	len,
		const typename I::psite::delta &	d
	)			[inline]

Definition at line 244 of file gaussian_directional_2d.hh.

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Variable Documentation

unsigned mln::linear::dir

Definition at line 59 of file convolve_directional.hh.

W(& mln::linear::horizontal_weights

Definition at line 57 of file convolve_2x1d.hh.

W( W(& mln::linear::vertical_weights)[Sv]

Definition at line 58 of file convolve_2x1d.hh.

const Weighted_Window<W>& mln::linear::w_win

Definition at line 58 of file linear/convolve.hh.

unsigned W(& mln::linear::weights)[S]

Definition at line 59 of file convolve_directional.hh.