Geometry preserving image retrieval using normalized scale coding

S. Vyshali, M. Subramanyam, K.Soundara Raajan
{"title":"Geometry preserving image retrieval using normalized scale coding","authors":"S. Vyshali, M. Subramanyam, K.Soundara Raajan","doi":"10.1109/EESCO.2015.7253843","DOIUrl":null,"url":null,"abstract":"In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.","PeriodicalId":305584,"journal":{"name":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EESCO.2015.7253843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In the area of image retrieval, shape based coding is a simpler and effective approach of image representation. Among various approaches of image representation for shape defining, curvature based coding is an advanced and quite effective way of image coding. In the approach of image representation using curvature coding, the shape is defined by closed contour. Wherein contours are shape representing approach, they may be very large in representation and hence result in resource overhead. To minimize the resource overhead in image retrieval system, a normalized scale contour coding is proposed. This approach preserves the shape description, with reducing number of feature vectors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
几何保持图像检索的归一化尺度编码
在图像检索领域,基于形状的编码是一种简单有效的图像表示方法。在各种用于形状定义的图像表示方法中,基于曲率的编码是一种先进而有效的图像编码方法。在曲率编码的图像表示方法中,形状由闭合轮廓定义。其中等高线是一种形状表示方法,其表示量可能非常大,从而导致资源开销。为了减少图像检索系统的资源开销,提出了一种归一化尺度的轮廓编码方法。该方法保留了形状描述,减少了特征向量的数量。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
IEEE copyright and consent form IEEE copyright and consent form Neuro-Genetic and CCM based biometrical authentication through side-view of human-face A feasibility analysis of decentralized solar power using RETScreen in Odisha Scanning tool for the detection of images embedded with malicious programs
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1