Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

Age Estimation Based on Skin Surface Images

Authors
Xiang-qian HE, Ling-yu LI, Zheng JIANG, Hao LI
Corresponding Author
Xiang-qian HE
Available Online May 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
Part of series
Advances in Biological Sciences Research
Publication Date
May 2017
ISBN
978-94-6252-362-3
ISSN
2468-5747
DOI
https://doi.org/10.2991/bbe-17.2017.76How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-17.2017.76
DO  - https://doi.org/10.2991/bbe-17.2017.76
ID  - HE2017/05
ER  -