A PFA based choice of color components based skin detection approach

K. Chenaoua*, A. Bouridane

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Color components are considered features from which a representative set is derived using the Principal Feature Analysis (PFA). An elliptical model based classifier is used to test the performance of the proposed space transformation. A Markov Random Field is used to model the relations among neighboring pixels to further assign pixels to their final classes.

Original languageEnglish
Title of host publication2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings
DOIs
StatePublished - 2007

Publication series

Name2007 9th International Symposium on Signal Processing and its Applications, ISSPA 2007, Proceedings

ASJC Scopus subject areas

  • Signal Processing

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