• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1397-1403
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• 2018

Today, modern people perceive skin care as part of their physical health care, and acne is a common skin disease problem that is found on the face. In this paper, an effective acne detection algorithm using CIE $L^*a^*b^*$ color space has been proposed. It is red when the pixel value of the component image $a^*$ is a positive number, so it is suitable for detecting acne in skin image. First, the skin image based on the RGB color space is subjected to light compensation through color balancing, and converted into a CIE $L^*a^*b^*$ color space. The extracted component image $a^*$ was normalized, and then the skin and acne area were estimated with the threshold values. Experimental results show that the proposed method detects acne more effectively than the conventional method based on brightness information, and the proposed method is robust against the reflected light source.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.44 no.1
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• pp.59-66
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• 2018

Propionibacterium acnes, a major pathogens bacterium of acne, is one of the microflora associated with the inflammation. In this study, the antibacterial effects of 70% ethanol extracts from the 61 natural plants in Jeju against P. acnes were investigated using the disc diffusion method. The 45 natural plant extracts showed antibacterial effects and the 16 natural plants extracts didn't show antibacterial effects. The Phyllanthus urinaria L. (stem and leaves) extract showed thr highest antimicrobial activity with $18.96{\pm}0.69mm$ clear zone of the growth of P. acnes, followed by Angelica gigas Nakai (roots), Gynostemma pentaphyllum (Thunb.) Makino, Angelica gigas Nakai (stem and leaves), Isodon inflexus (Thunb.) Kudo, camellia sinensis L. (flowers), Rosmarinus officinalis, etc. These results suggest that the natural plant in Jeju can be used as functional cosmetic biomaterials or antimicrobial agents against P. acnes.