2 December 2010 Skin image reconstruction using Monte Carlo based color generation
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Abstract
We propose a novel method of skin image reconstruction based on color generation using Monte Carlo simulation of spectral reflectance in the nine-layered skin tissue model. The RGB image and spectral reflectance of human skin are obtained by RGB camera and spectrophotometer, respectively. The skin image is separated into the color component and texture component. The measured spectral reflectance is used to evaluate scattering and absorption coefficients in each of the nine layers which are necessary for Monte Carlo simulation. Various skin colors are generated by Monte Carlo simulation of spectral reflectance in given conditions for the nine-layered skin tissue model. The new color component is synthesized to the original texture component to reconstruct the skin image. The method is promising for applications in the fields of dermatology and cosmetics.
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Yoshihisa Aizu, Takaaki Maeda, Tomohiro Kuwahara, Tetsuji Hirao, "Skin image reconstruction using Monte Carlo based color generation", Proc. SPIE 7851, Information Optics and Optical Data Storage, 78510N (2 December 2010); doi: 10.1117/12.872727; https://doi.org/10.1117/12.872727
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