Objective evaluation of skin texture condition by image analysis

Toshiyuki Tanaka, Haruna Suzuta

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

Abstract

This paper presents an analysis method that extracts the features of “skin texture” and “unevenness of skin color” from skin images. We determine the effective features for the evaluation of skin texture using a twosample t-test on the cheek and underside of the chin. The results show that the total number of cristae cutis as well as the mean and standard deviation of their area are effective features for skin texture analysis. In addition, the maximum value of an a* image as well as the standard deviation and kurtosis value of a b* image are effective features for assessing the unevenness of skin color. The results of tests show that the standard deviation of the area with changing colors is an effective feature for skin texture analysis.

Original languageEnglish
Title of host publication17th International Conference on Biomedical Engineering - ICBME 2016
PublisherSpringer Verlag
Pages7-12
Number of pages6
Volume61
ISBN (Print)9789811042195
DOIs
Publication statusPublished - 2017
Event17th International Conference on Biomedical Engineering, ICBME 2016 - Singapore, Singapore
Duration: 2016 Dec 72016 Dec 10

Other

Other17th International Conference on Biomedical Engineering, ICBME 2016
CountrySingapore
City Singapore
Period16/12/716/12/10

    Fingerprint

Keywords

  • Blotch
  • Cheek
  • Color unevenness
  • Skin analysis
  • Skin pore
  • Skin texture
  • Underside of the chin

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Tanaka, T., & Suzuta, H. (2017). Objective evaluation of skin texture condition by image analysis. In 17th International Conference on Biomedical Engineering - ICBME 2016 (Vol. 61, pp. 7-12). Springer Verlag. https://doi.org/10.1007/978-981-10-4220-1_2