Leaf recognition using K-NN classification algorithm

Burcu Kir Savaş, Cemil Öz, Ali Gülbağ
{"title":"Leaf recognition using K-NN classification algorithm","authors":"Burcu Kir Savaş, Cemil Öz, Ali Gülbağ","doi":"10.1109/SIU.2012.6204575","DOIUrl":null,"url":null,"abstract":"Plants play a crucial role in terms of the lives of human and other creatures since the existence of the universe. Despite the studies of plant scientists, there are many undiscovered and unidentified species in our environment. This paper is aimed to add the leaves, whose images have been clearly attained, to the system and to provide a proper analysis of those leaves. The images could be either the ones taken before or the ones obtained by means of a camera that is connected transiently. Leaf images went through pretreatment phases first, and then their features were extracted. Finally, classification processing was accomplished by using K-NN algorithm. The System is working successfully.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2012.6204575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Plants play a crucial role in terms of the lives of human and other creatures since the existence of the universe. Despite the studies of plant scientists, there are many undiscovered and unidentified species in our environment. This paper is aimed to add the leaves, whose images have been clearly attained, to the system and to provide a proper analysis of those leaves. The images could be either the ones taken before or the ones obtained by means of a camera that is connected transiently. Leaf images went through pretreatment phases first, and then their features were extracted. Finally, classification processing was accomplished by using K-NN algorithm. The System is working successfully.
树叶识别采用K-NN分类算法
自从宇宙存在以来,植物在人类和其他生物的生命中起着至关重要的作用。尽管植物科学家进行了研究,但在我们的环境中仍有许多未被发现和未识别的物种。本文旨在将已获得清晰图像的叶片添加到系统中,并对这些叶片进行适当的分析。图像可以是之前拍摄的图像,也可以是通过瞬间连接的相机获得的图像。首先对叶片图像进行预处理,然后提取其特征。最后,利用K-NN算法完成分类处理。系统运行正常。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信