高光谱智能分析技术在中药材领域的研究与应用

Research and application of intelligent hyperspectral analysis technology for Chinese materia medica

随着成像技术和人工智能技术的发展,高光谱成像技术为中药材分析提供一种快速、无损、智能、精准的新方法。该文总结了近年高光谱成像技术结合智能分析技术在中药材领域中的方法和应用,重点介绍了中药材高光谱数据采集与获取、高光谱数据预处理、高光谱数据智能分析方法和以上技术在中药材领域应用的实际案例。中药材高光谱数据可同时提供纳米级分辨率的光谱信息和丰富的空间纹理信息,该文归纳了高光谱数据采集、黑白板校正、感兴趣区域提取等获取流程;总结了包含平滑法、导数法、尺度缩放法、散射矫正法等光谱预处理方法;从光谱、空间、颜色、纹理等方面简述了特征提取方法并归纳常见建模方法;最后,回顾了将以上方法应用到中药材的真伪鉴别、产地溯源、品种识别、年份鉴别、硫熏程度判定、定量测定等领域已有的研究实例。

With the development of imaging technology and artificial intelligence,hyperspectral imaging technology provides a fast,non-destructive,intelligent,and precise new method for the analysis of Chinese materia medica(CMM).This paper summarized the methods and applications of hyperspectral imaging technology combined with intelligent analysis technology in the field of CMM in recent years,focusing on the acquisition and preprocessing of hyperspectral data,intelligent analysis methods of hyperspectral data,and practical cases of these technologies in the field of CMM.Hyperspectral data of CMM can provide spectral information with nanometer-level resolution and rich spatial texture information simultaneously.This paper summarized the acquisition process,including black-and-white board calibration and region-of-interest extraction,and preprocessing methods including smoothing,differentiation,scale-space,and scattering correction.The feature extraction methods in terms of spectral,spatial,color,and texture were briefly described,and common modeling methods were summarized.Finally,this paper reviewed the research cases of the application of the above methods to the fields of CMM,such as authenticity identification,origin tracing,variety recognition,year identification,sulfur fumigation degree determination,and quantitative measurement.