| 基于贝叶斯分类器的水稻病害识别处理的研究 |
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| 引用本文： | 杨昕薇,谭峰.基于贝叶斯分类器的水稻病害识别处理的研究[J].黑龙江八一农垦大学学报,2012,24(3):64-67,79. |
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| 作者姓名： | 杨昕薇 谭峰 |
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| 作者单位： | 黑龙江八一农垦大学信息技术学院,大庆,163319 |
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| 基金项目： | 黑龙江省2011年研究生创新项目 |
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| 摘 要： | 研究应用逐步判别分析方法，对三种寒地水稻常见病害组合成4个不同的参数集，将参数进行筛选，剔除多余参数，最后使用贝叶斯差别法进行分类识别。实验结果表明，使用逐步判别分析方法能有效的保留识别参数的准确性，为后续的识别奠定了良好的基础，识别的准确率提高至97．5％，该方法可以应用于对寒地水稻病害的识别。
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| 关 键 词： | 水稻 病害识别 贝叶斯差判别法 图像处理 |
Research of Treatment of the Rice Disease Recognition Based on Bayes Classifier |
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| Yang Xinwei,Tan Feng.Research of Treatment of the Rice Disease Recognition Based on Bayes Classifier[J].Journal of Heilongjiang August First Land Reclamation University,2012,24(3):64-67,79. |
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| Authors: | Yang Xinwei Tan Feng |
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| Institution: | (College of Information amd Technology,Heilongjiang Bayi Agricultural University,Daqing 163319) |
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| Abstract: | This study applied gradually discriminant analysis method,combined three kinds of common disease of rice in cold region into four different parameter set,selected parameters,eliminated redundant parameters,finally used bayesian difference method to classify and recognize.The experimental results showed that gradually discriminant analysis method could effectively keep recognition of parameters accurate and establish good foundation to following recognition,the accuracy would reach to 97.5%.The method could be applied to the recognition of rice disease in cold region. |
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| Keywords: | rice diseases recognition bayesian discriminant method image processing |
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