首页 | 本学科首页   官方微博 | 高级检索  
     

基于图像分析的植物叶片识别技术综述*
引用本文:张宁,刘文萍. 基于图像分析的植物叶片识别技术综述*[J]. 计算机应用研究, 2011, 28(11): 4001-4007. DOI: 10.3969/j.issn.1001-3695.2011.11.001
作者姓名:张宁  刘文萍
作者单位:北京林业大学信息学院,北京,100083
基金项目:中央高校基本科研业务费专项资金资助项目(YX201128);国家“973”计划资助项目(2009CB421105)
摘    要:对近年来基于图像分析的叶片识别技术进行了广泛研究.首先阐述了基于图像分析的植物叶片识别技术的意义及研究现状;然后介绍了主要的叶片图像识别步骤,重点从基于关系结构匹配的识别、基于统计学的识别和基于机器学习的识别三类方法进行阐述,详细论述了各种识别技术的基本思想和主要公式;最后指出了叶片识别技术的不足和研究方向.

关 键 词:数字图像分析  植物叶片识别  图像模板匹配  统计学  机器学习理论

Plant leaf recognition technology based on image analysis
ZHANG Ning,LIU Wen-ping. Plant leaf recognition technology based on image analysis[J]. Application Research of Computers, 2011, 28(11): 4001-4007. DOI: 10.3969/j.issn.1001-3695.2011.11.001
Authors:ZHANG Ning  LIU Wen-ping
Affiliation:(College of Information, Beijing Forestry University, Beijing 100083, China)
Abstract:This paper surveyed the image analysis based plant leaf recognition technologies in recent years. Firstly, it proposed the significance of the plant leaf recognition technology based on the image analysis and its present research status. Then introduced the main steps of the plant leaf recognition technology, esp. to discuss three methods based on relational structure matching recognition, based on statistical recognition and based on machine learning recognition. Introduced several basic theories and mainly formulas in detail. Finally, it pointed out the deficiencies and research directions of the leaf recognition technology.
Keywords:digital image analysis   plant leaf recognition   image template matching   statistics   machine learning
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号