Objective evaluation of skin texture condition by image analysis

Toshiyuki Tanaka, Haruna Suzuta

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


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
EditorsJames Goh, Chwee Teck Lim, Hwa Liang Leo
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9789811042195
Publication statusPublished - 2017
Event17th International Conference on Biomedical Engineering, ICBME 2016 - Singapore, Singapore
Duration: 2016 Dec 72016 Dec 10

Publication series

NameIFMBE Proceedings
ISSN (Print)1680-0737


Other17th International Conference on Biomedical Engineering, ICBME 2016
City Singapore


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

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering


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