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Extraction of optical properties from hyperspectral images by Monte Carlo light propagation model

机译:蒙特卡罗光传播模型从高光谱图像中提取光学特性

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In this paper, diffuse reflectance hyperspectral images of a light beam propagating through a semi-infinite homogeneous layer were simulated by a modified version of the open source Monte Carlo (MC) for multi-layered tissues. Subsequently, the optical properties in terms of absorption and reduced scattering coefficients were extracted from the simulated hyperspectral images by an inverse MC model based on a criterion function that exploits the spatially resolved information of hyperspectral images. The method was validated on real hyperspectral images of turbid phantoms with exactly defined optical properties.
机译:在本文中,使用多层组织的开源蒙特卡罗(MC)的改进版本,模拟了通过半无限均匀层传播的光束的漫反射高光谱图像。随后,基于利用高光谱图像的空间分辨信息的标准函数,通过逆MC模型从逆高光谱模型中,从模拟的高光谱图像中提取出有关吸收系数和减小的散射系数的光学特性。该方法已在具有精确定义的光学特性的浑浊体模的真实高光谱图像上得到验证。

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