玉米病斑图像智能识别系统的设计
esign and implementation of Maize leaf ill spots automatic recognization
随着计算机软硬件性能价格比的提高，利用机器视觉来识别作物中的病害，实现病害的自动化识别己经变得切实可行。本文提出了玉米叶片病斑图像的智能诊断系统的框架，从图像的预处理、分割、特征提取和识别做了详细的分析设计，详细介绍各个模块所采用的主要技术和算法。该系统操作简单，自动化程度高，诊断玉米病斑的正确率可达90%以上。
With great improvement of cost performance of computer software and hardware,it’s feasible to realise the automatic recognition of illness on plant.this paper propose a frame on which I implement the intelligent diagnosis of ill spots on maize leaf, and it will elaborates on image pre-process,segmentation,features extraction ,recognition and techniques used in every phase. This system is easy to operate,have higher automation level and diagnosis accuracy up to 90%.
李娇娇
植物保护计算技术、计算机技术农业科学技术发展
诊断系统图像处理图像分割特征提取
diagnosis systemimage processimage segmentationfeature extraction
李娇娇.玉米病斑图像智能识别系统的设计[EB/OL].(2009-12-08)[2025-08-21].http://www.paper.edu.cn/releasepaper/content/200912-223.点此复制
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