基于图像序列的椭圆形状亚像素参数估计

J. N. Reed, S. Hutchinson
{"title":"基于图像序列的椭圆形状亚像素参数估计","authors":"J. N. Reed, S. Hutchinson","doi":"10.1109/MFI.1994.398403","DOIUrl":null,"url":null,"abstract":"We present a method of ellipse parameter estimation that can be used in performing automated inspection of circular features. In our method, several digital images are taken of each part as it moves past a camera, creating an image sequence. Image enhancement is performed using the image sequence, yielding a high-resolution image. Subpixel edge detection is performed on the high-resolution image, producing a set of data points that is used for ellipse parameter estimation.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Subpixel parameter estimation for elliptical shapes using image sequences\",\"authors\":\"J. N. Reed, S. Hutchinson\",\"doi\":\"10.1109/MFI.1994.398403\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a method of ellipse parameter estimation that can be used in performing automated inspection of circular features. In our method, several digital images are taken of each part as it moves past a camera, creating an image sequence. Image enhancement is performed using the image sequence, yielding a high-resolution image. Subpixel edge detection is performed on the high-resolution image, producing a set of data points that is used for ellipse parameter estimation.<<ETX>>\",\"PeriodicalId\":133630,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.1994.398403\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.1994.398403","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

我们提出了一种椭圆参数估计方法,可用于圆形特征的自动检测。在我们的方法中,每个部分在经过相机时都要拍摄几张数字图像,从而创建一个图像序列。使用图像序列进行图像增强,产生高分辨率图像。在高分辨率图像上执行亚像素边缘检测,产生一组用于椭圆参数估计的数据点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subpixel parameter estimation for elliptical shapes using image sequences
We present a method of ellipse parameter estimation that can be used in performing automated inspection of circular features. In our method, several digital images are taken of each part as it moves past a camera, creating an image sequence. Image enhancement is performed using the image sequence, yielding a high-resolution image. Subpixel edge detection is performed on the high-resolution image, producing a set of data points that is used for ellipse parameter estimation.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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