Evaluation of the robustness of estimating five components from a skin spectral image

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Abstract

We evaluated the robustness of a method used to estimate five components (i.e., melanin, oxy-hemoglobin, deoxy-hemoglobin, shading, and surface reflectance) from the spectral reflectance of skin at five wavelengths against noise and a change in epidermis thickness. We also estimated the five components from recorded images of age spots and circles under the eyes using the method. We found that noise in the image must be no more 0.1% to accurately estimate the five components and that the thickness of the epidermis affects the estimation. We acquired the distribution of major causes for age spots and circles under the eyes by applying the method to recorded spectral images.

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Akaho, R., Hirose, M., & Tsumura, N. (2018). Evaluation of the robustness of estimating five components from a skin spectral image. Optical Review, 25(2), 181–189. https://doi.org/10.1007/s10043-017-0402-3

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