Age Estimation Based on Skin Surface Images

DOI

10.2991/bbe-17.2017.76How to use a DOI?

Keywords

Age estimation, Image analysis, Feature extraction, Skin surface changes.

Abstract

This paper presents a model of detection age which quantifies the appearance changes of human skin at different stages of aging without traditional skeleton. We provide a novel method to extract age-related primitive features from skin surface images obtained by a digital camera, including skin surface heterogeneity parameters of the standard deviation of gray (Std) and the information entropy (Entropy) of skin images, the skin surface texture variations parameters of the mean area of the grids (MA) and the number of intersections (NI). Skin surface images of 97 individuals have been analyzed by our image processing program. The results show that the four parameters were statistically correlated with age, indicating their potential for the routine evaluation of skin aging.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiang-qian HE
AU  - Ling-yu LI
AU  - Zheng JIANG
AU  - Hao LI
PY  - 2017/05
DA  - 2017/05
TI  - Age Estimation Based on Skin Surface Images
BT  - Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
PB  - Atlantis Press
SP  - 471
EP  - 479
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-17.2017.76
DO  - 10.2991/bbe-17.2017.76
ID  - HE2017/05
ER  -