Skin color classification of Koreans using clustering
- Authors
- Kye, Seula; Lee, Onseok
- Issue Date
- Nov-2022
- Publisher
- Blackwell Publishing Inc.
- Keywords
- classification; color space; digital image; principal component analysis; quantification; skin color
- Citation
- Skin Research and Technology, v.28, no.6, pp 1 - 8
- Pages
- 8
- Journal Title
- Skin Research and Technology
- Volume
- 28
- Number
- 6
- Start Page
- 1
- End Page
- 8
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21678
- DOI
- 10.1111/srt.13201
- ISSN
- 0909-752X
1600-0846
- Abstract
- Background/purpose Skin color is used as an index for diagnosing and predicting skin irritation, dermatitis, and skin conditions because skin color changes based on various factors. Therefore, a new method for consistently and accurately evaluating skin color while overcoming the limitations of the existing skin color evaluation method was proposed, and its usefulness was demonstrated. Methods Skin color was quantified using the RGB (Red, Green, Blue), HSV (Hue Saturation Value), CIELab, and YCbCr color spaces in the acquired Korean skin images, which were classified through clustering. In addition, the classification performances of the existing visual scoring method and the proposed skin color classification method were compared and analyzed using multinomial logistic regression, support vector machine, K-nearest neighbor, and random forest. Results After quantifying the skin color through the color space conversion of the skin image, the skin color classification performance according to the number of quantified features and the classifier was verified. In addition, the usefulness of the proposed classification method was confirmed by comparing its classification performance with that of the existing skin color classification method. Conclusion In this study, a method was proposed to objectively classify skin color values quantified from skin images of Koreans acquired using a digital camera through clustering. To verify the proposed method, its classification performance was compared with that of the existing classification method, and an optimized classification method was presented for the classification of Korean skin color. Thus, the proposed method can objectively classify skin color and can be used as a cornerstone in research to quantify skin color and establish objective classification criteria.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Medical Sciences > Department of Medical IT Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21678)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.