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: 2 December 2007


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.


ColorImage ProcessingPattern RecognitionComputer VisionClassical Method

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Authors’ Affiliations

Laboratoire LIGIV, Université Jean Monnet, Bâtiment E, Saint-Etienne, 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.