Skip to content


  • Research Article
  • Open Access

A Robust Approach to Segment Desired Object Based on Salient Colors

EURASIP Journal on Image and Video Processing20072008:489202

  • Received: 13 September 2007
  • Accepted: 22 November 2007
  • Published:


This paper presents a clustering-based color segmentation method where the desired object is focused on. As classical methods suffer from a lack of robustness, salient colors appearing in the object are used to intuitively tune the algorithm. These salient colors are extracted according to a psychovisual scheme and a peak-finding step. Results on various test sequences, covering a representative set of outdoor real videos, show the improvement when compared to a simple implementation of the same K-means oriented segmentation algorithm with ad hoc parameter setting strategy and with the well-known mean-shift algorithm.


  • Color
  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Classical Method

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

Laboratoire LIGIV, Université Jean Monnet, Bâtiment E, 18 Rue Benoît Lauras, Saint-Etienne, 42000, France


© J. Da Rugna and H. Konik. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.