农机化研究Issue(8)：165-168,173,5.
基于近红外高光谱成像的粮虫生命体征检测研究
Vital Signs Detection of Stored-grain Insects Based on Near-infrared Hyperspectral Imaging
摘要
Abstract
Detecting vital signs of stored-grain insects rapidly and accurately is critical for making integrated management decisions .The low-temperature sudden death method was adopted to kill Rhyzopertha dominica ( F.) by liquid nitrogen . The hyperspectral images of R.dominica were acquired by the near-infrared hyperspectral imaging system .The relative spectral reflectance of the insects increased gradually with the duration of the death time .The maximum deviation method was proposed to extract the optimal spectral wavelength , and the optimal characteristic wavelength to distinguish the live and the dead was 1,417.2 nm.The images of insects were segmented by the region-growing method, and the fixed threshold was proposed to identify the live insects .The identification accuracy of the live was 100%since the second and a half day after the death .The mean grey value of the insect images at 1 417 .2 nm showed a significant negative exponen-tial correlation with the activity of ATP-synthesizing enzyme and the protein content , and a strongly significant negative linear correlation with the moisture content in bodies .The results show that it is feasible to detect the vital signs of the stored-grain insects with the NIR hyperspectral imaging system .关键词
储粮害虫/检测/生命体征/高光谱成像/近红外Key words
stored-grain insects/detection/vital sings/hyperspectral imaging/near-infrared分类
农业科技引用本文复制引用
张红涛,胡玉霞,毛罕平,韩绿化..基于近红外高光谱成像的粮虫生命体征检测研究[J].农机化研究,2014,(8):165-168,173,5.基金项目
国家自然科学基金项目（31101085）；河南省基础与前沿技术研究计划（122300410145）；河南省高等学校青年骨干教师资助计划（2011GGJS-094）；华北水利水电大学高层次人才科研启动项目 （）
