Skip to main content

Advertisement

A Robust Approach to Segment Desired Object Based on Salient Colors

Article metrics

  • 810 Accesses

  • 1 Citations

Abstract

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.

Publisher note

To access the full article, please see PDF.

Author information

Correspondence to Jérôme Da Rugna.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Keywords

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