Function arrayfire::mean_shift

pub fn mean_shift<T>(
    input: &Array<T>, 
    spatial_sigma: f32, 
    chromatic_sigma: f32, 
    iter: u32, 
    iscolor: bool
) -> Array<T> where
    T: HasAfEnum + RealNumber, 

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.

Parameters

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

Return Values

Filtered Image - Array