| 基于GMM的黄瓜病害图像建模 |
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| 引用本文： | 任晓东,刘美琴,白慧慧.基于GMM的黄瓜病害图像建模[J].安徽农业科学,2011,39(34):21096-21099. |
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| 作者姓名： | 任晓东 刘美琴 白慧慧 |
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| 作者单位： | 农业部农药检定所,北京,100125;北京交通大学信息所,北京,100044 |
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| 基金项目： | 国家自然科学基金，北京市自然科学基金，教育部新教师基金，中央高校基本科研业务费项目 |
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| 摘 要： | 通过对黄瓜病害图像的准确分析,有效提取了图像的底层特征,建立了8种常见黄瓜病害的高斯混合模型（Gaussian Mixture Model,GMM）,并利用最大期望算法（Expectation-Maximization,EM）估计GMM的参数,精确描述了8种黄瓜病害的特征分布,从而提高了对黄瓜病害的正确识别和为害情况的准确把握,为实现黄瓜病害的实时与准确的预测和防治提供了理论依据。
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| 关 键 词： | 黄瓜病害 图像处理 数学建模 高斯混合模型 |
Model for Cucumber Disease Images Based on GMM |
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| Institution: | REN Xiao-dong et al(Institute for the Control of Agrochemicals,Ministry of Agriculture,Beijing 100125) |
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| Abstract: | 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. |
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| Keywords: | Cucumber disease Image processing Mathematical modeling Gaussian Mixture Model |
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