COMPARING COLOR AND TEXTURE-BASED ALGORITHMS FOR HUMAN SKIN DETECTION

A. Conci, E. Nunes, J. Pantrigo, A. Sánchez

Abstract

Locating skin pixels in images or video sequences where people appear has many applications, specially those related to Human-Computer Interaction. Most work on skin detection is based on modelling the skin on different color spaces. This paper explores the use of texture as a descriptor for the extraction of skin pixels in images. For this aim, we analyzed and compared a proposed color-based skin detection algorithm (using RGB, HSV and YCbCr representation spaces) with a texture-based skin detection algorithm which uses a measure called Spectral Variation Coefficient (SVC) to evaluate region features. We showed the usefulness of each skin segmentation feature (color versus texture) under different experiments that compared the accuracy of both approaches (i.e. color and texture) under the same set of hand segmented images.

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Paper Citation


in Harvard Style

Conci A., Nunes E., Pantrigo J. and Sánchez A. (2008). COMPARING COLOR AND TEXTURE-BASED ALGORITHMS FOR HUMAN SKIN DETECTION . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-989-8111-40-1, pages 166-173. DOI: 10.5220/0001685401660173


in Bibtex Style

@conference{iceis08,
author={A. Conci and E. Nunes and J. Pantrigo and A. Sánchez},
title={COMPARING COLOR AND TEXTURE-BASED ALGORITHMS FOR HUMAN SKIN DETECTION},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2008},
pages={166-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001685401660173},
isbn={978-989-8111-40-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - COMPARING COLOR AND TEXTURE-BASED ALGORITHMS FOR HUMAN SKIN DETECTION
SN - 978-989-8111-40-1
AU - Conci A.
AU - Nunes E.
AU - Pantrigo J.
AU - Sánchez A.
PY - 2008
SP - 166
EP - 173
DO - 10.5220/0001685401660173