An Implementation of the Mean Shift Algorithm

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Communicated by Luis Gómez and Pascal Monasse
Demo edited by Pascal Monasse

Abstract

In this paper, we present an implementation and analysis of the mean shift algorithm. The mean shift is a general non-parametric mode finding/clustering procedure widely used in image processing and analysis and computer vision techniques such as image denoising, image segmentation, motion tracking, etc.

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  Software Heritage Archive @softwareversion{sw-ipol.2019.255, title = {{An Implementation of the Mean Shift Algorithm}}, author = {Damir Demirović}, date = {2019-09-16}, license = {AGPL-3.0-or-later}, version = {1.0}, swhid = {swh:1:dir:e3aa13b46c1e407b2f1fb2f054547b406bc1c524;origin=https://doi.org/10.5201/ipol.2019.255;visit=swh:1:snp:4d601ec5ce69f5c3b4536291925586f653ce775e;anchor=swh:1:rev:15c7e14760040c995b29b714cc05ee02280c6cbd}, related = {ipol.2019.255}, relatedtype = "Reference article: https://doi.org/10.5201/ipol.2019.255" } % the biblatex-software style extension is recommended for software bibitems
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History

• Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.