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《Journal of Anhui Agricultural Sciences》 2011-34
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Model for Cucumber Disease Images Based on GMM

REN Xiao-dong et al(Institute for the Control of Agrochemicals,Ministry of Agriculture,Beijing 100125)  
Based on the accurate analysis of cucumber disease images,the low-level feature of images was effectively extracted,and Gaussian Mixture Model(GMM) for 8 common cucumber diseases was built.The parameters of GMM were estimated by the algorithm of Expectation Maximum(EM) to accurately characterize the feature distribution of 8 cucumber diseases,thus increased the correct identification of cucumber diseases and accurate grasping of damage conditions,and provided basis for achievement of real-time and accurate prediction of cucumber diseases.
【Fund】: 国家自然科学基金项目(60903066 0985244);; 北京市自然科学基金项目(4102049);; 教育部新教师基金项目(2009-0009120006);; 中央高校基本科研业务费项目(2010-0008030)
【CateGory Index】: S436.421.1
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