Skin Segmentation using Color and Edge Information

Authors

Son Lam Phung, Edith Cowan University
Abdesselam Bouzerdoum, Edith Cowan University
Douglas Chai, Edith Cowan UniversityFollow

Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Faculty of Computing, Health and Science

School

School of Engineering and Mathematics / Centre for Communications Engineering Research

RAS ID

2196

Comments

Phung, S. L., Bouzerdoum, A. , & Chai, D. K. (2003). Skin segmentation using color and edge information. Proceedings of The Seventh International Symposium on Signal Processing and its Applications ISSPA 2003. (pp. 525-528). Piscataway, NJ. IEEE. Available here

Abstract

An algorithm for segmenting skin regions in color images using color and edge information is presented. Skin colored regions are first detected using a Bayesian model of the human skin color. These regions are further segmented into skin region candidates that satisfy the homogeneity property of the human skin. We show that Bayesian skin color model outperforms many other models such as the piece-wise linear models, Gaussian models and model based on multilayer perceptrons. Experimental results indicate that the proposed segmentation algorithm reduces false detection caused by background pixels having skin colors, and more significantly it is capable of separating true skin regions from falsely detected regions.

DOI

10.1109/ISSPA.2003.1224755