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Showing content from https://arrayfire.org/docs/group__image__func__mean__shift.htm below:

ArrayFire: meanshift

Meanshift Filter. More...

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.

◆ 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

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