Comprehensive model for characterizing skin translucency by expert grading, panel evaluation and image analysis in a Chinese population

皮肤颜色 深色皮肤 皮肤颜色 人口 分级(工程) 皮肤病科 心理学 医学 人工智能 计算机科学 工程类 环境卫生 土木工程
作者
Di Qu,Xiaojuan Wang,Jianwei Liu,Ziqi Wu,Carla Kuesten,Weiyi Hu,Hirono Totsuka,Yinbei Chen
出处
期刊:International Journal of Cosmetic Science [Wiley]
卷期号:44 (5): 500-513 被引量:1
标识
DOI:10.1111/ics.12798
摘要

Abstract Objectives Translucent skin is an attribute widely appreciated by people in East Asian countries. There have been studies in the literature to describe the phenomenon by means of clinical grading, instrumental measurement and image analysis. However, due to its subjective and complex nature, skin translucency has not been comprehensively and rigorously characterized and modelled, particularly in the Chinese population. This study is to develop a mathematical model that quantitatively describes skin translucency from visual cues objectively measured from the skin. Materials and Methods The study was designed to characterize and model skin translucency by incorporating expert evaluation, panel perception and image analysis of multiple skin visual attributes in one analysis. Faces of 36 Chinese females aged 18–65 years old were evaluated by a dermatologist to obtain clinical translucency scores. Subject pairs were formed with a relatively high and low translucency score in each pair. Their faces were judged in person by 9 panellists in paired‐comparison (2‐AFC) fashion to pick a ‘more translucent skin’ from each subject pair. Front‐view facial images of the subjects were taken, and multiple colour and other visually perceivable skin attributes were measured using image analysis. Bradley‐Terry analysis and multiple regressions were performed to correlate the panel choices of ‘more translucent skin’ with the objectively measured skin parameters. Results Multiple skin colour properties affected the panel choices towards translucent skin. Among them skin tone lightness and skin glossiness had positive effects on skin translucency while the hue, colour unevenness, severity of red and dark spots affected it negatively. Subsurface light reflection and skin visual smoothness had some effect but were not statistically significant. A mathematical model was constructed to predict a person's skin translucency from objectively measured skin attributes. Conclusion The subjective property of skin translucency can be characterized and quantified via a comprehensive modelling process involving clinical grading, panel evaluation, image‐based measurement of skin attributes and statistical analysis. A novel skin parameter, Skin Translucency Index ( STI ) was established, which provides a way to measure skin translucency, making it possible to assess treatment efficacy before and after product application.
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