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Component analysis and synthesis of dark circles under the eyes using a spectral image

机译：光谱图像分析和眼睛下黑眼圈的合成

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This paper proposes to apply nonlinear estimation of chromophore concentrations: melanin, oxy-hemoglobin, deoxy-hemoglobin and shading to the real hyperspectral image of skin. Skin reflectance is captured in the wavelengths between 400nm and 700nm by hyperspectral scanner. Five-band wavelengths data are selected from skin reflectance. By using the cubic function which obtained by Monte Carlo simulation of light transport in multi-layered tissue, chromophore concentrations and shading are determined by minimize residual sum of squares of reflectance. When dark circles are appeared under the eyes, the subject looks tired and older. Therefore, woman apply cosmetic cares to remove dark circles. It is not clear about the relationship between color and chromophores distribution in the dark circles. Here, we applied the separation method of the skin four components to hyperspectral image of dark circle, and the separated components are modulated and synthesized. The synthesized images are evaluated to know which components are contributed into the appearance of dark circles. Result of the evaluation shows that the cause of dark circles for the one subject was mainly melanin pigmentation.
机译：本文提出将生色团浓度的非线性估计：黑色素，氧合血红蛋白，脱氧血红蛋白和阴影应用于皮肤的真实高光谱图像。高光谱扫描仪在400nm至700nm的波长范围内捕获皮肤反射率。从皮肤反射率中选择五波段波长数据。通过使用通过蒙特卡洛模拟获得的多层组织中的光传输的三次函数，通过最小化反射率平方的残留和来确定生色团浓度和阴影。当眼睛下方出现黑眼圈时，拍摄对象看起来更老了。因此，女人应进行美容护理以去除黑眼圈。尚不清楚在黑眼圈中颜色和发色团分布之间的关系。在这里，我们将皮肤四成分的分离方法应用于黑眼圈的高光谱图像，并对分离出的成分进行调制和合成。对合成图像进行评估，以了解哪些成分导致了黑眼圈的出现。评价结果表明，一个受试者的黑眼圈的原因主要是黑色素色素沉着。

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