基于图像和光谱信息融合的病虫害叶片检测系统
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国家自然科学基金资助项目(31071319);中央高校基本科研业务费专项资金资助项目(XDJK2010C048)


Insect Pest Leaf Detection System Based on Information Fusion of Image and Spectrum
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    摘要:

    运用图像和近红外光谱技术,基于VC++和Matlab语言,设计了与PC硬件和Windows XP、Windows 2000软件环境兼容、基于图像和光谱信息融合的病虫害叶片检测系统。阐述了该系统的工作原理、工作过程、硬件组成及软件功能。该系统可实现病虫害叶片图像、光谱数据的自动采集、数据的预处理、病虫害危害程度的预测与检测结果的显示。将该系统用于病虫害叶片危害程度的检测结果表明,检测的精度、可靠性高,可用于病虫害叶片危害程度的无损检测。

    Abstract:

    In order to find out an automatic monitoring method of plant insect pests, non-destructive detection software system with compatibility of PC hardware, Windows XP and Windows 2000 software environment was developed based on the information fusion of image and spectrum, which was programmed by VC++ and Matlab language. Working principal and process of the system, hardware composition and software system were introduced. The system could collect image and spectral data automatically, process data, predict the damaged degrees (DD) and display the detection results. Finally, the system was used to detect the DD of leaves. The detection results from the experiment showed that the proposed system could be used for non-invasive detection of DD of leaves with high accuracy and reliability.

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谢春燕,吴达科,王朝勇,李岩.基于图像和光谱信息融合的病虫害叶片检测系统[J].农业机械学报,2013,44(Supp1):269-272.

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  • 在线发布日期: 2013-10-22
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