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

准确重建被测目标的颜色信息对实现可靠的植物病虫害诊断具有十分重要的意义。文章提出把多光谱成像技术应用于植物病虫害诊断,所采集的多光谱图像可以从光谱维和图像维反映被测目标的特征信息。在此基础上,实验采用16个窄带滤色片、单色面阵CCD、积分球混合光源照明和标准观测环境建立了能进行适时、无损检测的多光谱成像系统。并利用该设备对Macbeth色卡中8个色卡进行光谱和颜色重建,重建的结果与光谱辐射度计的测量结果进行了比较。通过对光谱匹配角度和CIE标准色差分析,证明这种多光谱成像系统能够准确、稳定地重建出目标的光谱信息和颜色信息。

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 multispeetral 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.