This paper presents a numerical study on simulated spectra and point spread functions in the database that we constructed by moderate grouping of nine layers in a skin model. The database is used for identification of a simulated skin reflectance spectrum which seems most closed to a certain target spectrum or a measured spectrum. On the basis of the properties of absorption and scattering coefficients in a nine-layered skin tissue model, we classify nine layers into two and three groups for changing values of the absorption and scattering coefficients, respectively, and then reflectance spectra are simulated by Monte Carlo method with these five groups to build reflectance spectral database. The desired spectrum is extracted from the database by using the root mean square error. To identify uniquely the most desirable spectrum among some similar spectra contained in the database, we propose additionally the use of a point spread function of reflected intensity on the skin surface. Simulated results demonstrate that this approach is promising to identify the most likely spectrum that is fit to the target spectrum. The finally identified spectrum in the database gives its absorption and scattering coefficients in each of the nine layers which are used to estimate skin conditions.

中文翻译：

---

通过对皮肤模型中的九层进行适度分组构建的数据库中的模拟反射光谱和点扩散函数

本文提出了对数据库中模拟光谱和点扩散函数的数值研究，该数据库是通过对皮肤模型中的九层进行适度分组而构建的。该数据库用于识别似乎与特定目标光谱或测量光谱最接近的模拟皮肤反射光谱。根据九层皮肤组织模型中吸收和散射系数的性质，我们将九层分别分为两组和三组以改变吸收和散射系数的值，然后通过蒙特卡洛模拟反射光谱用这五组方法建立反射光谱数据库。通过使用均方根误差从数据库中提取所需光谱。为了在数据库中包含的某些相似光谱中唯一地标识最理想的光谱，我们另外建议使用皮肤表面反射强度的点扩散函数。仿真结果表明，这种方法有望识别出最适合目标光谱的光谱。数据库中最终确定的光谱在九层中的每一层中均提供了吸收系数和散射系数，这些系数用于估计皮肤状况。