节点文献
高光谱成像技术在果蔬品质与安全无损检测中的原理及应用
Principles and Applications of Hyperspectral Imaging Technique in Quality and Safety Inspection of Fruits and Vegetables
【摘要】 水果和蔬菜的品质与安全是消费者最为关心的问题。传统的化学检测方法是一种费时费力的破坏性检测技术。随着成像和光谱技术的快速发展,高光谱成像技术已经广泛应用于农产品品质与安全的快速无损检测中。高光谱成像技术融合了传统的成像和光谱技术的优点,可以同时获取被检测物体的空间信息和光谱信息,因此该技术既可以像检测物体的外部品质,又可以像光谱技术一样检测物体的内部品质和品质安全。目前,已经有大量的基于高光谱成像技术检测水果和蔬菜品质与安全的研究性论文发表,为了深入了解高光谱成像技术的检测原理并跟踪国内外最新的研究进展,综述了高光谱成像技术在水果和蔬菜外部品质、内部品质和品质安全检测中的原理、发展和应用。另外,还简要介绍和讨论了高光谱成像系统的构成、常用的数据分析方法、发展趋势及面临的挑战。
【Abstract】 The quality and safety of fruits and vegetables are the most concerns of consumers.Chemical analytical methods are traditional inspection methods which are time-consuming and labor intensive destructive inspection techniques.With the rapid development of imaging technique and spectral technique,hyperspectral imaging technique has been widely used in the nondestructive inspection of quality and safety of fruits and vegetables.Hyperspectral imaging integrates the advantages of traditional imaging and spectroscopy.It can obtain both spatial and spectral information of inspected objects.Therefore,it can be used in either external quality inspection as traditional imaging system,or internal quality or safety inspection as spectroscopy.In recent years,many research papers about the nondestructive inspection of quality and safety of fruits and vegetables by using hyperspectral imaging have been published,and in order to introduce the principles of nondestructive inspection and track the latest research development of hyperspectral imaging in the nondestructive inspection of quality and safety of fruits and vegetables,this paper reviews the principles,developments and applications of hyperspectral imaging in the external quality,internal quality and safety inspection of fruits and vegetables.Additionally,the basic components,analytical methods,future trends and challenges are also reported or discussed in this paper.
【Key words】 Hyperspectral imaging; Fruit; Vegetable; Quality; Safety; Nondestructive;
- 【文献出处】 光谱学与光谱分析 ,Spectroscopy and Spectral Analysis , 编辑部邮箱 ,2014年10期
- 【分类号】TP391.41
- 【被引频次】120
- 【下载频次】4190