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Position: Home > Articles > Detection of Live Rhyzopertha dominica Based on Near-infrared Hyperspectral Imaging Journal of Henan Agricultural Sciences 2014,43 (4) 152-155

基于近红外超光谱成像的谷蠹活虫检测研究

作  者:
张红涛;任孟梅;胡玉霞;张恒源
单  位:
郑州大学电气工程学院;安阳职业技术学院;华北水利水电大学电力学院
关键词:
光谱分析;近红外超光谱成像;仓储害虫;谷蠹;检测
摘  要:
快速准确地检测出仓储活虫是粮虫有效综合防治的关键。在谷蠹低温猝死后的0~7d,利用自行研制的近红外超光谱成像系统进行图像采集,谷蠹光谱反射率随死亡时间的增加而逐渐增大,到死后第3天时光谱曲线基本趋于稳定。应用主成分分析法提取出最优特征波长为1 417.2nm,在特征波长下谷蠹图像平均灰度值与其体内的ATP合成酶活性和水分含量之间分别具有极显著的负指数相关关系和负线性相关关系。采用双区域连通阈值面积比的区域生长法自动判别谷蠹活虫,结果表明,在谷蠹死亡1.5d后,利用近红外超光谱成像技术能对活虫与死虫进行正确判别。
译  名:
Detection of Live Rhyzopertha dominica Based on Near-infrared Hyperspectral Imaging
作  者:
ZHANG Hong-tao;REN Meng-mei;HU Yu-xia;ZHANG Heng-yuan;Institute of Electric Power,North China University of Water Resources and Electric Power;Anyang Vocational and Technical College;College of Electric Engineering,Zhengzhou University;
关键词:
spectral analysis;;near-infrared hyperspectral imaging;;stored-grain insects;;Rhyzopertha dominica;;detection
摘  要:
Detecting of live insects in granary rapidly and accurately is very critical for making the integrated management decisions.The low-temperature sudden death method was adopted to kill Rhyzopertha dominica.The near-infrared hyperspectral images were acquired by the selfdeveloped imaging system over the period of 0-7dafter the death of insects.The relative spectral reflectance of the insects increased gradually with the duration of the death time.Then the spectral curveof the insects became stable to the third day after the death.The optimal characteristic wavelength was 1 417.2nm by the principle component analysis.The mean grey value of the insect images at 1 417.2nm showed a significant negative exponential correlation with the activity of ATP-synthesizing enzyme and a strongly significant negative linear correlation with the moisture content in bodies.The region-growing method for identifying the live insects was used based on the area ratio of the two thresholds for connecting regions.Since the 1.5th day after the death of the insects,the live and the dead had been identified completely based on near-infrared hyperspectral imaging technology.

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