Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Detection of Facial Wrinkle based on Improved Maximum Curvature Points in Image Profiles

Authors
Die Zhou, Shuo Zhao
Corresponding Author
Die Zhou
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.135How to use a DOI?
Keywords
wrinkle detection; Gabor filter bank; Frangi filter; maximum curvature.
Abstract
Face wrinkles, as an important sign of aging and the focus of anti-aging, have great research significance in detecting them. However, rough skin result in more noises, and the intensity difference between the fine wrinkles and the skin background is too small, which ultimately leads to low detection rate of wrinkles. An improved maximum curvature method is proposed for wrinkle detection. Firstly, the intensity gradient caused by wrinkles is highlighted by combining the image features of Gabor filter bank and Frangi filter. Then, the filtered result image is binarized, and the connected component eccentricity distribution is counted to judge the wrinkle feature extraction effect. According to the effect of wrinkle feature extraction, the image is selected, and the local maximum curvature of the cross-sectional contour is calculated to detect wrinkles. At the same time, combined with the complex geometric features of wrinkles, the connection method in the algorithm is improved. Compared with the existing wrinkle detection methods, the proposed method greatly improves the detection rate of wrinkles, especially in rough skin images.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.135How 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  - Die Zhou
AU  - Shuo Zhao
PY  - 2019/04
DA  - 2019/04
TI  - Detection of Facial Wrinkle based on Improved Maximum Curvature Points in Image Profiles
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.135
DO  - https://doi.org/10.2991/icmeit-19.2019.135
ID  - Zhou2019/04
ER  -