지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.8
- 수록면
- 36 - 44 (9page)
- DOI
- 10.17289/jkscs.33.3.201908.36
이용수
초록· 키워드
오류제보하기
Personalized makeup is preferred based on individual skin color diagnosis. In accordance, the need to diagnose skin color accurately is required. Skin color varies across different body locations and therefore inaccurate to measure skin color. For these reasons, human skin color is hard measure as a single color value. Therefore, this study investigated how to classify the tone and brightness of human skin by hue than to measure the skin color. Hue is easier for non-professionals to answer and has a wider choice than warm and cool based skin color. In this study, detailed classification of skin colors was attempted using skin color specimens and actual facial images. Based on the PANTONE SkinToneTM Guide, and real skin images, the skin was classified in terms of six hues of Reddish / Yellowish / Orangish / Greenish / Bluish / Purplish. Considering that skin color can be explained by relative values, the measurement data was converted to a difference (delta) from the average value. In skin colors, Redness (a*) and Yellowess (b*) were calculated by classifying each of them into two large categories and to clearly distinguish Lightness (L*) and Chroma (C*) from the tone graph. Δa*(Redness) and ΔL*(Lightness) are calculated as differences from average value. In the same way, Δb*(Yellowness)-ΔC*(Chroma) was also calculated to explain the hue classification. We also identified that Korean skin color is divided into yellow, reddish, and orangish and the relationship with Δb* and ΔC* values of CIELAB.
목차
Abstract
1. Introduction
2. Method of Research
3. Result
4. Discussion
5. Conclusion
References
참고문헌 (6)
참고문헌 신청
De Rigal, J., Abella, M. L., Giron, F., Caisey, L., & Lefebvre, M. A. (2007). Development and validation of a new Skin Color Chart®. Skin Research and Technology, 13(1), 101-109.
Fullerton, A, F. T., & Lahti, A. (1996). Guidelines for mea-surement of skin colour and erythema. Contact Dermatitis, 35(1), 1-10.
Jung, I., Jo, A. R., Kwon, Y. J., Kwon, S., & An, I. S. (2017). Facial L* a* b* values and preferred base makeup products among native Korean women: a clinical study. Biomedical Dermatology, 1(1), 2.
Kikuchi, K., Katagiri, C., Yoshikawa, H., Mizokami, Y., & Yaguchi, H. (2018). Long?term changes in Japanese women's facial skin color. Color Research & Application, 43(1), 119-129.
Xiao, K., Yates, J. M., 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 Research and Technology, 23(1), 21-29.
Fullerton, A, F. T., & Lahti, A. (1996). Guidelines for mea-surement of skin colour and erythema. Contact Dermatitis, 35(1), 1-10.
Jung, I., Jo, A. R., Kwon, Y. J., Kwon, S., & An, I. S. (2017). Facial L* a* b* values and preferred base makeup products among native Korean women: a clinical study. Biomedical Dermatology, 1(1), 2.
Kikuchi, K., Katagiri, C., Yoshikawa, H., Mizokami, Y., & Yaguchi, H. (2018). Long?term changes in Japanese women's facial skin color. Color Research & Application, 43(1), 119-129.
Xiao, K., Yates, J. M., 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 Research and Technology, 23(1), 21-29.
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UCI(KEPA) : I410-ECN-0101-2019-651-000983160