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作 者:王贵财[1] 张德贤[1] 李保利[1] 孙宜贵[1]
机构地区:[1]河南工业大学信息科学与工程学院,郑州450001
出 处:《中国粮油学报》2014年第4期124-128,共5页Journal of the Chinese Cereals and Oils Association
基 金:863计划(2012AA101608);河南教育厅科学技术研究重点项目基础研究(13A520171);河南工业大学高层次人才基金(2012BS062)
摘 要:针对我国粮情测控发展所面临的技术需求,本文以分析粮虫视觉检测技术研究现状及其存在的问题为基础,结合粮储要求和粮仓实际情况,立足研究粮虫实时检测问题。并以此为目标围绕粮虫图像特征的多样性获取,欠观测条件下粮虫快速分类、多约束条件下粮虫的虫口密度估计等进行研究并做出展望,力求探讨粮虫视觉检测技术的创新点与突破点。为粮虫的实时检测的关键技术提供支撑从而达到提高粮虫防治水平的根本目的,这将对完善粮虫实时检测技术和实现粮食安全管理具有重要意义。For meeting the technical requirement of grain detecting and controlling in China,the status and attendant problems for storage pest vision inspection technology have been researched in analysis of the paper.On the basis combination of grain storage requirement and actual situation granary,the paper has taken the research storage pest real-time inspection problem as foundation and has made it as target to around the diversity acquisition of storage pests image features,fast classification storage pests on observation condition while storage pest density estimation with multi-restrictions for study and prospect.The paper tried to explore innovative and breakthrough points of storage pest vision inspection technology,to offer key technological support for real-time detection.As a result,the inspection technology can achieve the fundamental purpose of improve storage pests control on the hand.It has important significance to perfect storage pest real-time inspection technology and realizes grain safety management on the other hand.
分 类 号:S126[农业科学—农业基础科学]
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