Circle detection based on orientation matching

M. Ceccarelli, A. Petrosino, G. Laccetti
{"title":"Circle detection based on orientation matching","authors":"M. Ceccarelli, A. Petrosino, G. Laccetti","doi":"10.1109/ICIAP.2001.956995","DOIUrl":null,"url":null,"abstract":"The paper reports a correlation-based method for the detection of circular objects which is capable of overcoming well-known problems arising by the use of gradient-based voting schemes. Specifically, the method is: (a) capable of detecting circular objects on the basis of both magnitude and direction of the image gradient; and (b) of dealing with three-dimensional spherical objects by considering shadows depending on the direction of light. Experimental results about the accuracy of the method and comparisons with the Hough transform and the Hausdorff matching are reported.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"21 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 11th International Conference on Image Analysis and Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2001.956995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

Abstract

The paper reports a correlation-based method for the detection of circular objects which is capable of overcoming well-known problems arising by the use of gradient-based voting schemes. Specifically, the method is: (a) capable of detecting circular objects on the basis of both magnitude and direction of the image gradient; and (b) of dealing with three-dimensional spherical objects by considering shadows depending on the direction of light. Experimental results about the accuracy of the method and comparisons with the Hough transform and the Hausdorff matching are reported.
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
基于方向匹配的圆检测
本文报告了一种基于相关性的圆形物体检测方法,该方法能够克服使用基于梯度的投票方案所产生的众所周知的问题。具体而言,该方法:(a)能够根据图像梯度的大小和方向检测圆形物体;(b)根据光的方向考虑阴影来处理三维球面物体。实验结果表明了该方法的精度,并与霍夫变换和豪斯多夫匹配进行了比较。
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
Circle detection based on orientation matching Towards teleconferencing by view synthesis and large-baseline stereo Learning and caricaturing the face space using self-organization and Hebbian learning for face processing Bayesian face recognition with deformable image models Using feature-vector based analysis, based on principal component analysis and independent component analysis, for analysing hyperspectral images
×
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