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日用化学工业（中英文）

日用化学工业（中英文） ›› 2025, Vol. 55 ›› Issue (10): 1299-1305.doi: 10.3969/j.issn.2097-2806.2025.10.010

• 开发与应用 • 上一篇    下一篇

多维度综合评估表观毛孔状态：建立基于探索性因子分析的分级体系

傅齐天1,魏滢2,林晓纯2,叶迎2,郭立群2,盘瑶1,*()   

  1. 1.北京工商大学 轻工科学与工程学院 化妆品系，北京 100048
    2.珀莱雅化妆品股份有限公司，浙江 杭州 310012
  • 收稿日期:2024-10-25 修回日期:2025-09-29 出版日期:2025-10-22 发布日期:2025-12-03
  • 通讯作者: 盘瑶

Multi-dimensional comprehensive assessment of apparent pore state: establishing a hierarchical system based on exploratory factor analysis

Qitian Fu1,Ying Wei2,Xiaochun Lin2,Ying Ye2,Liqun Guo2,Yao Pan1,*()   

  1. 1. Department of Cosmetics, School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China
    2. Research and Innovation Center of Proya Cosmetics Co., Hangzhou, Zhejiang 310012, China
  • Received:2024-10-25 Revised:2025-09-29 Online:2025-10-22 Published:2025-12-03
  • Contact: Yao Pan

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摘要：

构建多维度表观毛孔分级体系与客观分级图谱。选择120名受毛孔问题困扰受试者，采用VISIA-CR测试仪和Sebumeter SM 815测量仪收集数据，并利用自建的2D图像处理算法进行图像分析，通过因子分析方法建立表观毛孔指数评价算法模型，同时建立分级图谱，并对该评估体系进行验证。使用油脂含量、毛孔周围皮肤颜色（L*值、a*值、b*值）、毛孔尺寸（毛孔个数、毛孔面积、毛孔面积占比和毛孔直径）等指标建模，得到公式：表观毛孔指数=0.546*毛孔尺寸因子+0.296*毛孔颜色因子+0.157*油脂因子。构建了一个将毛孔分为轻、中、重3个等级的分级图谱，随着等级升高模型得分升高。经验证，Kappa系数为0.72（p<0.01），说明两种方法具有高度一致性，表明模型和分级图谱的准确性和可靠性较高。本研究建立了客观量化的数学模型和直观的图谱用于判定表观毛孔等级，为毛孔问题的精准评估及后续护理产品的开发提供了科学依据。

关键词: 毛孔分级图谱, 毛孔分级量表, 探索性因子分析, 毛孔粗大

Abstract:

In the pursuit of tight and delicate skin, the problem of skin pores has attracted wide attention. Before that, few studies combined pore size, oil content and pore skin color for enlarged pore assessment. The aim of this study was to establish a new apparent pore classification system and a comprehensive and objective pore classification atlas. The researchers collected data from 120 healthy Chinese subjects using the VISIA-CR face imaging tester and the Sebumeter SM 815 skin oil content measuring instrument. Then, the self-built two-dimensional image processing algorithm was used for image analysis, and the pore index evaluation algorithm model was established by exploratory factor analysis. At the same time, the classification atlas was established, and the accuracy of the evaluation system was verified. As a result, the research team established a mathematical model using indicators such as oil content, skin color around pores （L* value, a* value, and b* value）, and pore size （number of pores, pore area, pore area proportion and pore diameter）, and obtained the calculation formula: Apparent pore index=0.546* pore size factor+0.296* pore color factor+0.157* oil factor. And they build an intuitive pore grading criteria, which divided pores into mild, moderate and severe 3 grades, with the model score increasing as the grade increased. After verification, the Kappa coefficient is 0.72 （p<0.01）, indicating that the two methods were highly consistent, which proves that the established model and classification diagram are accurate. This study established an intuitive and quantitative map and a model for determining pore grade, and provided a scientific basis for the accurate evaluation of pore problems and the development of follow-up care products. The study can also be used in market development and consumer market research.

Key words: pore grading atlas, pore grading criteria, exploratory factor analysis, pore size

中图分类号: 

  • TQ658