Accurate wrinkle representation scheme for skin age estimation

Young Hwan Choi, Yoon Sik Tak, Seungmin Rho, Eenjun Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Among many features that can be observed from human skin, wrinkles are known to be very effective for assessing a subject's physical condition, surroundings, or lifestyle. In our previous work, we showed how to extract various wrinkle-related features such as total length, average width, depth, and size from magnified skin images and use them to estimate the degree of skin aging. To represent wrinkles on the skin images, we used a watershed algorithm and constructed its skeleton image, in which wrinkles are represented by 1-pixel lines. A skeleton image consists of polygons, which we call wrinkle cells. Since most wrinkle-related features are deduced from this skeleton image, accurate wrinkle representation is very critical. However, we found that the watershed algorithm produces over-segmentation for skin images; i.e., one wrinkle is represented by multiple smaller wrinkles in the skeleton image. To solve this problem, in this paper we propose an accurate skin wrinkle representation scheme that identifies and merges over-segmented cells in the skeleton image. Various experiments on our prototype system show that our scheme provides accurate skin wrinkle representation and thus improves the accuracy of skin age estimation.

Original languageEnglish
Title of host publicationProceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011
Pages226-231
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011 - Loutraki, Greece
Duration: 2011 Jun 282011 Jun 30

Publication series

NameProceedings of the 2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011

Other

Other2011 5th FTRA International Conference on Multimedia and Ubiquitous Engineering, MUE 2011
Country/TerritoryGreece
CityLoutraki
Period11/6/2811/6/30

Keywords

  • Image processing
  • Pattern recognition
  • SVM classifier
  • Skin age
  • Watershed algorithm
  • Wrinkle feature

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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