Browse > Article
http://dx.doi.org/10.15230/SCSK.2015.41.2.97

A Comparison Study Between Image Analysis and Conventional Methods in the Evaluation of Asian Skin Color  

Park, Hye Kyong (Ellead / Skin Research Center)
Kim, Nam Soo (Ellead / Skin Research Center)
Moon, Tae Kee (Ellead / Skin Research Center)
Kim, Bora (Ellead / Skin Research Center)
Jung, Ho Young (Ellead / Skin Research Center)
Publication Information
Journal of the Society of Cosmetic Scientists of Korea / v.41, no.2, 2015 , pp. 97-103 More about this Journal
Abstract
Until recently, the three conventional evaluation methods, which are instrumental (Chromameter$^{(R)}$ CR-400 and Mexameter$^{(R)}$ M18) and visual assessments have been used frequently for skin color evaluation. However, we took notice the potential of image analysis as a new tool to evaluate color change of skin. To reveal the reliability of the image analysis for the evaluation of whitening agents, 34 healthy female volunteers with hyperpigmentation were recruited, and the selected volunteers applied the whitening products containing Vitamin C twice a day in the morning and evening and received iontophoresis treatments once a week for 8 weeks. The changes in hyperpigmentation evaluated by Chromameter$^{(R)}$, Mexameter$^{(R)}$ and visual assessment were compared with the results from the image analysis. As with $L^*$ value trends of the analysis using Chromameter$^{(R)}$, the V value from the image analysis increased after applying the test products compared with baseline values. Furthermore, V value showed a positive correlation with $L^*$ value (r = 0.494, p < 0.01) and negative correlation with MI (r = - 0.683, p < 0.01) and VG (r = - 0.549, p < 0.01). Therefore, image analysis may be considered as an effective method to complement the limitations of visual assessment for whitening efficacy in Asians.
Keywords
image analysis; evaluating method; efficacy; skin color; cosmetics;
Citations & Related Records
연도 인용수 순위
  • Reference
1 V. N. Sehgal, P. Verma, G. Srivastava, A. K. Aggarwal, and S. Verma, Melasma: Treatment strategy, J. Cosmet. Laser Ther., 13(6), 265 (2011).   DOI
2 B. Fink and P. J. Matts, The effects of skin colour distribution and topography cues on the perception of female facial age and health, J. Eur. Acad. Dermatol. Venereol., 22(4), 493 (2008).   DOI
3 B. Fink, P. J. Matts, H. Klingenberg, S. Kuntze, B. Weege, and K. Grammer, Visual attention to variation in female facial skin color distribution, J. Cosmet. Dermatol., 7(2), 155 (2008).   DOI
4 R. R. Anderson and J. A. Parrish, The optics of human skin, J. Invest. Dermatol., 77, 13 (1981).   DOI
5 S. C. Kim, D. W. Kim, J. P. Hong, and D. K. Rah, A quantitative evaluation of pigmented skin lesions using the L$^$^*$$ a$^*$ b$^*$ color coordinates, Yonsei Med. J., 41(3), 333 (2000).   DOI
6 S. H. Ha, M. H. Lee, O. S. Lee, G. W. Lee, J. Y. Kim, J. S. Moon, M. G. Kim, and C. H. Oh, A study of a method for distribution analysis of skin color, Skin Res. Technol., 15(2), 200 (2009).   DOI   ScienceOn
7 P. Clarys, K. Alewaeters, R. Lambrecht, and A. O. Barel, Skin color measurements: comparison between three instruments: the Chromameter$^{(R)}$, the Derma-Spectrometer and the Mexameter$^{(R)}$, Skin Res. Technol., 6(4), 230 (2000).   DOI
8 I. S. Yun, W. J. Lee, D. K. Rah, Kim, Y. O. Kim, and B. Y. Park, Skin color analysis using a spectrophotometer in Asians, Skin Res. Technol., 16(3), 311 (2010).   DOI
9 H. Ohshima and H. Takiwaki, Evaluation of dark circles of the lower eyelid: comparison between reflectance meters and image processing and involvement of dermal thickness in appearance, Skin Res. Technol., 14(2), 135 (2008).   DOI