Document Detail


Image statistics on the age perception of human skin.
MedLine Citation:
PMID:  22672108     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND/PURPOSE: Recent research on the age-dependent changes of facial skin has analyzed their correlation with changes in image and colorimetric properties using mainly first- and second-order statistics. The aim of this study is to reveal the importance of third-order statistics and relate those image properties to skin age perception. METHODS: Photographs of the faces of 118 Japanese women ranging in age from 13 to 80 years were taken in a controlled environment. Subsequently, 10 Japanese subjects rated the age perception of skin patches from the cheek area of the original facial images. RESULTS: The age estimation of the skin patches was highly correlated with its chronological age proving that our skin patches contain enough information for age estimation. Also, the perceived age was significantly high correlated to color and lightness statistical values. Specifically, age perception was significantly high correlated with third-order statistics of all channels in CIELAB1976. CONCLUSION: Our results reveal the importance of higher order statistics for the development of nonintrusive skin quality assessments of the skin.
Authors:
Carlos Arce-Lopera; Takanori Igarashi; Keisuke Nakao; Katsunori Okajima
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-6-5
Journal Detail:
Title:  Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)     Volume:  -     ISSN:  1600-0846     ISO Abbreviation:  -     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-6-7     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9504453     Medline TA:  Skin Res Technol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2012 John Wiley & Sons A/S.
Affiliation:
Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan.
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