25 April 2005 Quantification method for the appearance of melanin pigmentation using independent component analysis
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Abstract
In the cosmetics industry, skin color is very important because skin color gives a direct impression of the face. In particular, many people suffer from melanin pigmentation such as liver spots and freckles. However, it is very difficult to evaluate melanin pigmentation using conventional colorimetric values because these values contain information on various skin chromophores simultaneously. Therefore, it is necessary to extract information of the chromophore of individual skins independently as density information. The isolation of the melanin component image based on independent component analysis (ICA) from a single skin image was reported in 2003. However, this technique has not developed a quantification method for melanin pigmentation. This paper introduces a quantification method based on the ICA of a skin color image to isolate melanin pigmentation. The image acquisition system we used consists of commercially available equipment such as digital cameras and lighting sources with polarized light. The images taken were analyzed using ICA to extract the melanin component images, and Laplacian of Gaussian (LOG) filter was applied to extract the pigmented area. As a result, for skin images including those showing melanin pigmentation and acne, the method worked well. Finally, the total amount of extracted area had a strong correspondence to the subjective rating values for the appearance of pigmentation. Further analysis is needed to recognize the appearance of pigmentation concerning the size of the pigmented area and its spatial gradation.
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Nobutoshi Ojima, Natsuko Okiyama, Saya Okaguchi, Norimichi Tsumura, Toshiya Nakaguchi, Kimihiko Hori, Yoichi Miyake, "Quantification method for the appearance of melanin pigmentation using independent component analysis", Proc. SPIE 5686, Photonic Therapeutics and Diagnostics, (25 April 2005); doi: 10.1117/12.589611; https://doi.org/10.1117/12.589611
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