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用于植物病虫害诊断的多光谱成像系统

[Multispectral imaging system for the plant diseases and insect pests diagnosis].

作者信息

Feng Jie, Liao Ning-fang, Liang Min-yong, Zhao Bo, Dai Zhi-fu

机构信息

National Laboratory of Colour Science and Engineering, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Apr;29(4):1008-12.

PMID:19626892
Abstract

For a reliable diagnosis of plant diseases and insect pests, it is very important to reproduce the original color of the object. But it is not certain by conventional color imaging systems. Multispectral imaging techniques are capable of providing additional useful spectral information of common pathological samples using image acquisition The authors present a multispectral imaging system for the diagnosis. This system uses 16 narrow-band filters, a monochrome CCD camera, and standard illumination environment. Spectral match angle and color difference can be obtained through measurements and analysis of 8 Macbeth color patch using PR-715 spectraScan and multispectral imaging system. In addition, the color image and spectral reflectance of cucumber diseased leaves were reproduced using the multispectral imaging system. In the experiment, it was confirmed that the system realized good accuracy in the color reproduction and spectral reflectance reproduction from a limited number of color bands.

摘要

为了可靠地诊断植物病虫害,重现物体的原始颜色非常重要。但传统的彩色成像系统无法做到这一点。多光谱成像技术能够通过图像采集提供常见病理样本的额外有用光谱信息。作者提出了一种用于诊断的多光谱成像系统。该系统使用16个窄带滤光片、一台单色CCD相机和标准照明环境。通过使用PR - 715光谱扫描仪和多光谱成像系统对8个麦氏色卡进行测量和分析,可以获得光谱匹配角和色差。此外,使用多光谱成像系统再现了黄瓜病叶的彩色图像和光谱反射率。在实验中,证实了该系统在从有限数量的色带进行颜色再现和光谱反射率再现方面实现了良好的准确性。

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