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日用化学工业（中英文）

日用化学工业 ›› 2015, Vol. 45 ›› Issue (8): 443-446.doi: 10.13218/j.cnki.csdc.2015.08.006

• 开发与应用 • 上一篇    下一篇

基于Retinex图像增强算法的面部皮肤光泽度评价研究

焦志鑫, 王瑜, 王小艺, 董银卯, 孟宏, 赵华   

  1. 北京工商大学 中国化妆品研究中心,北京 100048
  • 收稿日期:2015-01-05 修回日期:2015-08-06 发布日期:2019-04-10
  • 通讯作者: 王 瑜,副教授,博士,电话:13521880639,E-mail:wangyu@btbu.edu.cn。
  • 作者简介:焦志鑫(1990-),男,山西人,硕士研究生,E-mail:jiaozhixin0309@126.com。
  • 基金资助:
    北京市属高等学校高层次人才引进与培养计划资助项目(CIT&TCD201404031); 北京工商大学促进人才培养综合改革项目(19005428069/007)

Research on gloss evaluation of facial skin based on Retinex algorithm

JIAO Zhi-xin, WANG Yu, WANG Xiao-yi, DONG Yin-mao, MENG Hong, ZHAO Hua   

  1. China Cosmetic Research Center,Beijing Technology and Business University,Beijing 100048,China
  • Received:2015-01-05 Revised:2015-08-06 Published:2019-04-10

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摘要： 研究基于Retinex图像增强算法的皮肤光泽度评价方法。通过对196名志愿者进行仿真实验,构建面部皮肤图库,利用单尺度Retinex算法将读入的人脸皮肤图像S(x,y)转换成反射图像R(x,y),计算出R(x,y)的像素均值和方差值,将其与使用光泽度测试仪测出的光泽度值分别归一化,并利用相对平方误差法进行误差分析。结果表明,R(x,y)像素均值法对面部皮肤光泽度评价效果理想,误差在0.13以内。

关键词: 面部皮肤, Retinex图像增强算法, 光泽度

Abstract: Based on Retinex theory,an evaluation model for measuring gloss of people's facial skin was established.Via the simulation experiments on samples of 196 volunteers,a library of people's facial skin images was built,which was accessed by means of single scale Retinex algorithm to transform the readings of people facial skin images S(x,y) into reflectance images R(x,y).By this way,the mean and variance of pixels of R(x,y),which were processed in normalizing with the gloss reading given by gloss meter and the error analysis was conducted by use of relative square error method.The experimental results indicated that the evaluation on facial skin gloss by R(x,y) pixel mean method agrees with that measured by the gloss meter with an error ratio of less than 0.13.Therefore,the method can be deemed as a suitable,simple and effective way to evaluate people's facial skin gloss.

Key words: facial skin, Retinex algorithm, gloss

中图分类号: 

  • TQ658