粮虫图像识别检测技术研究现状与展望  

Current Research Situations and Prospects of Stored-grain Pests Based on Image Recognition Inspection Technology

作　　者：程尚坤 张德贤[1] 张苗[1] 

机构地区：[1]河南工业大学信息科学与工程学院/粮食信息处理和控制教育部重点实验室,河南郑州450001

出　　处：《安徽农业科学》2016年第19期272-274,共3页Journal of Anhui Agricultural Sciences

基　　金：国家高技术研究发展计划"863"计划课题(2012AA10608)

摘　　要：为促进图像识别检测技术在我国粮情测控领域的应用研究,从预处理、特征提取、识别分类和种群密度估计4个方面,概述和分析了计算机图像识别检测技术在粮虫自动识别中的发展现状,提出今后应从图像自动采集装置的研制、粮虫图像的有效特征获取、高适应分类器的设计、粮虫种群密度的估计、多种检测技术的融合等方面开展深入研究,为科学规范粮虫防治工作提供更好的决策支撑。In order to promote the application and research of image recognition inspection technology in grain monitoring of China,current development situations were firstly summarized for computer image recognition and detection technology applied in automatic identification of storedgrain pests from pre-treatment,feature extraction,classification,and population density estimation. Besides,recommendations were put forward for in-depth study,including developing automatic image acquisition device,obtaining effective characteristics of images of stored-grain pests,designing highly adaptive classifiers,estimating population density of stored-grain pests,and integrating multiple detection techniques,and etc.,so as to provide better support for decision of scientific and standard stored-grain pest control.

关 键 词：粮情测控 图像识别 害虫检测 种群密度 粮虫防治 

分 类 号：S126[农业科学—农业基础科学]