meanshift

Meanshift Filter. More...

Functions
AFAPI array	meanShift (const array &in, const float spatial_sigma, const float chromatic_sigma, const unsigned iter, const bool is_color=false)
	C++ Interface for mean shift. More...
AFAPI af_err	af_mean_shift (af_array *out, const af_array in, const float spatial_sigma, const float chromatic_sigma, const unsigned iter, const bool is_color)
	C Interface for mean shift. More...

Detailed Description

Meanshift Filter.

A meanshift filter is an edge-preserving smoothing filter commonly used in object tracking and image segmentation.

This filter replaces each pixel in the image with the mean of the values within a given given color and spatial radius. The meanshift filter is an iterative algorithm that continues until a maxium number of iterations is met or until the value of the means no longer changes.

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Function Documentation

af_mean_shift()

AFAPI af_err af_mean_shift	(	af_array *	out,
		const af_array	in,
		const float	spatial_sigma,
		const float	chromatic_sigma,
		const unsigned	iter,
		const bool	is_color
	)

C Interface for mean shift.

Parameters

[out]	out	array is the processed image
[in]	in	array is the input image
[in]	spatial_sigma	is the spatial variance parameter that decides the filter window
[in]	chromatic_sigma	is the chromatic variance parameter
[in]	iter	is the number of iterations filter operation is performed
[in]	is_color	indicates if the input in is color image or grayscale

Returns

AF_SUCCESS if the filter is applied successfully, otherwise an appropriate error code is returned.

meanShift()

AFAPI array meanShift	(	const array &	in,
		const float	spatial_sigma,
		const float	chromatic_sigma,
		const unsigned	iter,
		const bool	is_color = false
	)

C++ Interface for mean shift.

Parameters

[in]	in	array is the input image
[in]	spatial_sigma	is the spatial variance parameter that decides the filter window
[in]	chromatic_sigma	is the chromatic variance parameter
[in]	iter	is the number of iterations filter operation is performed
[in]	is_color	indicates if the input in is color image or grayscale

Returns

the processed image