关键词: 高光谱成像技术,砀山酥梨炭疽病,光谱分析,图像处理,分类

Abstract: To detect the disease of different levels,this article took Dangshan pear which gets vaccinated of anthrax as the research object,using hyperspectral imaging technology for the modeling of disease classification.In 400~1000 nm spectral region,we collected the sequential hyperspectral images of the whole process of Dangshan pear samples from inoculation of anthrax to morbidity and to decompose,used threshold segmentation to conduct background segmentation of images,and did principal composition analysis based on the effective spectral region.We selected the second principal component (PC2) to extract the infected region of interest,and used weight coefficient method for eigenvalue extraction of region-of-interest and used unsupervised classification algorithm for clustering analysis of characteristic value.Through observation and analyzation of 210 sample sets,it comes that the effective sample classification is 98.41%.The experimental results show that it is valid to make use of hyperspectral imaging nondestructive testing technology for the classification of the anthrax disease of Dangshan pear of different levels.

Key words: Hyperspectral imaging technology,Anthrax Dangshan pear,Spectral analysis,Image processing,Classification