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当前位置: 首页 > 文章 > 基于图像处理技术的甜瓜叶片病斑定级方法研究 上海农业学报 2018 (6) 94-99
Position: Home > Articles > Study on grading method of melon leaf lesion based on image processing technology Acta Agriculturae Shanghai 2018 (6) 94-99

基于图像处理技术的甜瓜叶片病斑定级方法研究

作  者：
马超;袁涛;姚鑫锋;籍延宝;李琳一
单  位：
上海市农业科学院农业科技信息研究所
关键词：
图像处理;病斑定级;甜瓜叶片
摘  要：
为解决农业生产中记录和分析作物叶片病斑等级繁琐及无法自动化的问题,采用非固定拍摄平台田间实拍的方式,通过优化传统图像处理流程中的图像增强、图像几何变换、图像切割等流程,开发了一套基于图像处理技术的病斑定级系统,实现了简化操作参数输入,快速自动化获取病斑等级的目的。甜瓜叶片试验表明:基于图像处理的方式对叶片及病斑进行分析,其面积离散度小于0. 5%,病斑离散度小于5. 5%,能够可靠地描述病斑与叶片之间的面积比例,从而对植物叶片病斑进行定级,为科学防治和病害危害程度评价提供科学依据。
译  名：
Study on grading method of melon leaf lesion based on image processing technology
作  者：
MA Chao;YUAN Tao;YAO Xing-feng;JI Yan-bao;LI Lin-yi;Agricultuural Information Institute of Science and Technology,Shanghai Academy of Agricultural Sciences;
单  位：
MA Chao%YUAN Tao%YAO Xing-feng%JI Yan-bao%LI Lin-yi%Agricultuural Information Institute of Science and Technology,Shanghai Academy of Agricultural Sciences
关键词：
Image processing;;Lesion grading;;Melon leaves
摘  要：
In order to solve the problem of recording and analyzing crop leaf lesion grades in agricultural production,a set of lesion grading system based on image processing technology was developed by optimizing image enhancement,image geometry transformation,image cutting and other processes in traditional image processing process,using field real-time shooting on non-fixed shooting platform. The grading system could simplify the input of operation parameters and acquire the grade of lesions quickly and automatically. The experiment of melon leaves showed that the area dispersion was less than 0. 5%,and the lesion dispersion was less than 5. 5% based on image processing,which could reliably describe the area ratio between lesions and leaves. Thus,the plant leaf lesions were graded to provide a basis for scientific prevention and control and disease hazard degree assessment.

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