Quantification Korean Skin Color Using Multi-color Space for Objective Skin Tone Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1252-0_49
Reference5 articles.
1. Xiao K, Yates JM, Zardawi F, Sueeprasan S, Liao N, Gill L, Li C, Wuerger S (2017) Characterising the variations in ethnic skin colours: a new calibrated data base for human skin. Skin Res Technol 23(1):21–29
2. Rahmat RF, Chairunnisa T, Gunawan D, Sitompul OS (2016) Skin color segmentation using multi-color space threshold. In: 2016 3rd International conference on computer and information sciences. IEEE, Malaysia, pp. 391–396
3. Cho M, Lee DH, Doh EJ, Kim Y, Chung JH, Kim HC, Kim S (2017) Development and clinical validation of a novel photography-based skin erythema evaluation system: a comparison with the calculated consensus of dermatologists. Int J Cosmet Sci 39(4):426–434
4. Li CR, Tsai HY, Yang CC, Lin MY, Huang KC, Lin YH (2020) Quantifying the color changes in bruised skin using a color-calibrated imaging system. In: 2020 IEEE international symposium on medical measurements and applications. IEEE, Italy, pp 1–5
5. Kye S, LEE O (2022) Skin color classification of Koreans using clustering. Skin Res Technol https://doi.org/10.1111/srt.13201
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