Query-by-Sketch Image Retrieval Using Edge Relation Histogram

Y. Kumagai, T. Arikawa
{"title":"Query-by-Sketch Image Retrieval Using Edge Relation Histogram","authors":"Y. Kumagai, T. Arikawa","doi":"10.1587/TRANSINF.E96.D.340","DOIUrl":null,"url":null,"abstract":"In the Query-by-sketch image retrieval, feature extraction method is important, because the retrieval result depend on image feature. In this paper, we propose the query-by-sketch image retrieval using Edge Relation Histogram (ERH) as global and local feature. ERH focuses on the relation among edge pixels, and ERH is shift-, scale-, rotation- and symmetry-invariant feature. This method was applied to 20,000 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.","PeriodicalId":295384,"journal":{"name":"IAPR International Workshop on Machine Vision Applications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAPR International Workshop on Machine Vision Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1587/TRANSINF.E96.D.340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

In the Query-by-sketch image retrieval, feature extraction method is important, because the retrieval result depend on image feature. In this paper, we propose the query-by-sketch image retrieval using Edge Relation Histogram (ERH) as global and local feature. ERH focuses on the relation among edge pixels, and ERH is shift-, scale-, rotation- and symmetry-invariant feature. This method was applied to 20,000 images in Corel Photo Gallery. Experimental results show that the proposed method is effective in retrieving images.
基于边缘关系直方图的逐草图查询图像检索
摘要在基于草图查询的图像检索中,特征提取方法非常重要,因为检索结果取决于图像的特征。本文提出了一种基于边缘关系直方图(ERH)作为全局特征和局部特征的基于草图查询的图像检索方法。ERH关注的是边缘像素之间的关系,ERH是平移、比例、旋转和对称不变的特征。该方法应用于Corel图片库中的20000张图片。实验结果表明,该方法在图像检索中是有效的。
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