基于计算机视觉的水稻杂株识别  

Rice Hybrids Identification Based on Computer Vision

作　　者：李宁[1] 余斌[1] Li Ning;Yu Bin(PingDingShan Industrial College of Technology,Pingdingshan 467000,China)

机构地区：[1]平顶山工业职业技术学院,河南平顶山467000

出　　处：《农机化研究》2020年第12期228-231,共4页Journal of Agricultural Mechanization Research

基　　金：河南省科技厅科技攻关项目(2018456385)。

摘　　要：针对水稻的杂株识别,设计了一种基于计算机视觉的水稻杂株识别系统。系统主要由图像获取系统、特征提取系统和模式识别方法系统组成,可利用颜色特征识别图像中的杂株,并对图像进行阈值分割获取二值图像,提取形状特征和纹理特征,通过DS融合理论程序实现水稻杂株的识别。试验结果表明:系统可以准确识别水稻杂株类型,准确率达到了92%以上,能够满足农业人员对水稻杂株识别系统的要求。In order to meet the need of rice hybrids identification,a rie hybrids identification system was designed based on computer vision.The system was constituted of image obtaining system,feature parameters obtaining system and pattern recognition method system.The system recognized the hybrids in the image by color feature,then gain the binary image by threshold partition to the image,and extract the shape feature and textural feature.The system achieves the identification of rice hybrids in the method of DS fusion theoretical procedure.The system test results show that the system could identify the rice hybrids correctly.The accuracy achieves 92%.It could meet the requirement of rice hybrids identification system.

关 键 词：水稻杂株识别 计算机视觉 阀值分割 DS融合理论程序 

分 类 号：S126[农业科学—农业基础科学] TP391.41[自动化与计算机技术—计算机应用技术]