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自然环境下果实的自动识别技术
引用本文:郑小东,王晓洁,李印清.自然环境下果实的自动识别技术[J].计算机应用与软件,2006,23(11):96-97,100.
作者姓名:郑小东  王晓洁  李印清
作者单位:1. 郑州航空工业管理学院计算机系,河南,郑州,450015
2. 郑州大学机械工程学院,河南,郑州,450002
摘    要:利用计算机视觉技术可以识别自然环境下植株上的果实,为自动化采摘提供可能。常用的果实识别方法都具有一定的局限性。以番茄为研究对象,提出基于区域特征的果实自动识别方法,该方法克服了常规方法的局限性,具有一定的通用性和实用价值。

关 键 词:番茄  计算机视觉  区域特征  识别
收稿时间:2004-11-22
修稿时间:2004-11-22

A NEW METHOD OF AUTOMATIC DISCRIMINATION OF FRUIT UNDER NATURE BACKGROUND
Zheng Xiaodong,Wang Xiaojie,Li Yinqing.A NEW METHOD OF AUTOMATIC DISCRIMINATION OF FRUIT UNDER NATURE BACKGROUND[J].Computer Applications and Software,2006,23(11):96-97,100.
Authors:Zheng Xiaodong  Wang Xiaojie  Li Yinqing
Affiliation:1.Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou Henan 450015, China;2.School of Mechanical Engineering, Zhengzhou University, Zhengzhou Henan 450002, China
Abstract:It can be used to discriminate fruit on trees of using computer vision and the result makes automatic picking possible.The methods often used to discriminate fruit on trees have some limitations.In our research tomato is used as object to be discriminated and a new method was presented.The new method is based on the region characteristic in the image and it hasn't the limitations that the traditional methods have.It is universal in the fruit recognition and is valuable.
Keywords:Tomato Computer vision Region characteristic Automatic discriminating
本文献已被 CNKI 维普 万方数据 等数据库收录!
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