Comparative Study on Different Color Space Models for Skin Color Segmentation

Dongzhu Yin, Yoshihiro Sugaya, Shinichiro Omachi, Hirotomo Aso

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Although skin color segmentation using different color spaces has been investigated using various approaches, there is still much to explore. Previous comparative analyses of different color space models did not sufficiently address the performance of color space models against the cases where training samples for skin color and test samples are taken under different environments. In this paper, we present a comparative study on different color space models for skin color segmentation. To show the significance of choosing the proper color space model, we investigated thirteen different color space models using two different skin color samples on two databases. Results of comparative experiment show that the CIECAM02 color appearance model can most precisely segment the true skin color against various skin color samples.

Original languageEnglish
Pages (from-to)606-614
Number of pages9
JournalJournal of the Institute of Image Electronics Engineers of Japan
Volume39
Issue number5
DOIs
Publication statusPublished - 2010 Jan

Keywords

  • CIECAM02 color appearance model
  • color space
  • face segmentation
  • skin color
  • template matching

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

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