舌苔特征定量分析是中医舌诊客观化研究的重要内容之一。目前舌苔的分布和厚度定量信息作为舌苔的重要特征，受到技术手段和方法限制还没有较大的突破。本课题对高光谱空间频域联合成像系统和方法用于舌苔分布及厚度的测量进行研究。具体内容包含四个方面：首先，研究高光谱空间频域联合成像系统，实现舌体快速、非接触的高光谱空间频域光信息检测；其次，基于生物医学光子学理论，结合舌质与舌苔在可见-近红外光波段不同吸收特征，建立舌体高光谱光学指数，实现舌体表面舌苔分布信息的数字描述，解决目前舌诊缺乏舌苔分布数字信息的问题；再次，根据光子扩散理论，研究适用于舌苔厚度检测的光学参数蒙特卡洛正问题模型及LUT (Lookup Table)，获得舌苔光学参数；最后，结合神经网络深度学习算法，建立苔厚信息与光学参数、舌苔分布之间的数学模型。本项目的研究能够为舌苔分布及厚度的测量提供一种新途径，为中医临床诊断提供客观依据。

The quantification of tongue coating is critical for the objectification of tongue diagnosis in traditional Chinese medicine (TCM). For now, the important features, such as distribution and thickness, are not quantified owing to the limitation of technical means and methods. In this study, the combination of hyperspectrum and space frequency domain imaging is utilized to measure the distribution and thickness of tongue coating. Firstly, the hyperspectral space frequency domain imaging system is built for measuring of the optical information rapidly and non-contactly from the tongue; Secondly, based on the theory of photonics, the hyperspectral indices are investigated to describe the distribution of tongue coating due to the difference of absorption property between the tongue body and coating in the visible-near infrared waves; And then, the optical properties of tongue coating is investigated by Monte Carlo modeling and the lookup Table method (LUT). Finally, the modeling between optical properties, distribution and the thickness of coating is built by neural network deep learning. And the proposed method is able to provide the new approach and objective basis to measure the thickness of tongue coating.