mln::data::approx Namespace Reference

Namespace of image processing routines related to pixel levels with approximation. More...

Namespaces
namespace	impl
	Implementation namespace of data::approx namespace.
Functions
template<typename I >
mln::trait::concrete< I >::ret	median (const Image< I > &input, const win::rectangle2d &win)
template<typename I >
mln::trait::concrete< I >::ret	median (const Image< I > &input, const win::octagon2d &win)
template<typename I >
mln::trait::concrete< I >::ret	median (const Image< I > &input, const win::disk2d &win)

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Detailed Description

Namespace of image processing routines related to pixel levels with approximation.

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Function Documentation

template<typename I >

mln::trait::concrete< I >::ret mln::data::approx::median	(	const Image< I > &	input,
		const win::rectangle2d &	win
	)			[inline]

Compute in output an approximate of the median filter of image input by the 2D rectangle win.

Parameters:

[in]	input	The image to be filtered.
[in]	win	The rectangle.

The approximation is based on a vertical median ran after an horizontal median.

Precondition:

input and output have to be initialized.

References mln::trace::entering(), mln::trace::exiting(), and mln::win2.

Referenced by median().

template<typename I >

mln::trait::concrete< I >::ret mln::data::approx::median	(	const Image< I > &	input,
		const win::octagon2d &	win
	)			[inline]

Compute in output an approximate of the median filter of image input by the 2D octagon win.

Parameters:

[in]	input	The image to be filtered.
[in]	win	The octagon.

The approximation is based on a vertical median and an horizontal median an two diagonal median.

Precondition:

input and output have to be initialized.

References median().

template<typename I >

mln::trait::concrete< I >::ret mln::data::approx::median	(	const Image< I > &	input,
		const win::disk2d &	win
	)			[inline]

Compute in output an approximate of the median filter of image input by the 2D disk win.

Parameters:

[in]	input	The image to be filtered.
[in]	win	The disk.

The approximation is based on a vertical median and an horizontal median an two diagonal median.

Precondition:

input and output have to be initialized.

References mln::trace::entering(), mln::trace::exiting(), median(), and mln::win2.