Browse > Article

A scheme of extracting age-related wrinkle feature and skin age based on dermoscopic images  

Choi, Young-Hwan (School of Electrical, Electronics Engineering, Korea University)
Hwang, Een-Jun (School of Electrical, Electronics Engineering, Korea University)
Publication Information
Journal of IKEEE / v.14, no.4, 2010 , pp. 332-338 More about this Journal
Abstract
Usually, mage feature extraction methods are performed as a pre-processing step in many applications including image retrieval, object recognition, and image indexing. Especially, in the image texture analysis, texture feature extraction methods attempt to increase texture contrast to make it easier to extract the texture features from the image. One of the distinct textures in microscopic skin image is the wrinkle, and its features could provide various useful information for the age-related applications. In this paper, we propose a scheme to extract age-related features from the skin images and improve its accuracy in the skin age estimation.
Keywords
Dermoscopic Image; Skin Age; SVM; Age-related Skin Features;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jun-Ichiro Hayashi et al. "Age and Gender Estimation Based on Wrinkle Texture and Color of Facial Images", Int. Conf. on Pattern Recognition, Vol. 1, pp.10405, 2002
2 Jun-Ichiro Hayashi et al. "Age and Gender Estimation Based on Facial Image Analysis," KES 2003, LNAI 2774, pp. 863-869, 2003
3 John Hatzis, "The wrinkle and its measurement -: A skin surface profilometric method," Micron, Vol. 35, Issue 3, Pg. 201-219, 2004   DOI   ScienceOn
4 Y. Choi, K. Kim, E. Hwang "WASUP: A Wrinkle Analysis A Using Microscopic Skin Image," Proceedings of Int'l Conference on Ubiquitous Information Technologies & Applications, 2008.
5 Beucher, S., and Lantuejoul, C., "Use of Watersheds in contour detection," In proc. International workshop on image processing, Real-time edge and motion detection/estimation, 1979
6 K. Kim, Y. Choi, E. Hwang "Wrinkle Feature-Based Skin Age Estimation Scheme," Proceedings of Int'l Conference on Multimedia and Expo, 2009
7 G. Boyer et al., "Dynamic indentation on human skin in vivo: ageing effects", Skin Research and Technology, Vol.15, pp. 55-67, 2009.   DOI   ScienceOn
8 EmguCV: cross platform .Net wrapper to the OpenCV, http://www.emgu.com/wiki
9 LIBSVM - A Library for Support Vector Machine, http://www.csie.ntu.edu.tw/-cjlin/libsvm
10 M. E. Celebi et al., Approximate lesion localization in dermoscopy images, Skin research and technology, Vol.15, Issue 3, 314-332, 2009.   DOI   ScienceOn
11 Y. Bando et al., A simple Method for Modeling Wrinkles on Human skin, Proceedings of IEEE Pacific conference on computer graphics and applications, 166-175, 2002.
12 T. Mclnerney and D. Terzopoulos, Deformable models in medical image analysis : a survey, Medical image analysis, Vol. 1, Issue 2, 91-108, 1996.   DOI
13 H. Tanaka et al., "Quantitative evaluation of elderly skin based on digital image analysis," Skin research and technology, Vol. 14, 2008