mean_shift

arrayfire

Function mean_shift 

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

§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