Mean Shift Filter (2D)

A 2D "Mean Shift" filter implementation. More...

Detailed Description

A 2D "Mean Shift" filter implementation.

Performs a noise an efficient reduction using clustering

See also

Mean Shift on Wikipedia

Author

Vincent Morard

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

Collaboration diagram for Mean Shift Filter (2D):

Functions
template<class T >
RES_T	meanShiftFilter (const Image< T > &imIn, const UINT8 radius, const int tonalDistance, Image< T > &imOut)
	Performs a noise an efficient reduction using clustering.
template<class T >
RES_T	meanShiftFilterRGB (const Image< T > &imIn, const UINT8 radius, const int tonalDistance, Image< T > &imOut)
	Performs a noise an efficient reduction using clustering (RGB Images)

Function Documentation

meanShiftFilter()

template<class T >

RES_T meanShiftFilter	(	const Image< T > &	imIn,
		const UINT8	radius,
		const int	tonalDistance,
		Image< T > &	imOut
	)

Performs a noise an efficient reduction using clustering.

Parameters

[in]	imIn	: input Image
[in]	radius	:
[in]	tonalDistance	:
[out]	imOut	: output Image

meanShiftFilterRGB()

template<class T >

RES_T meanShiftFilterRGB	(	const Image< T > &	imIn,
		const UINT8	radius,
		const int	tonalDistance,
		Image< T > &	imOut
	)

Performs a noise an efficient reduction using clustering (RGB Images)

Parameters

[in]	imIn	: input Image
[in]	radius	:
[in]	tonalDistance	:
[out]	imOut	: output Image

Warning

Yet to be done !!!