New method of registration based on the theory of possibility

Wissal Ben Marzouka, B. Solaiman, K. Bsaïes, Zouhour Ben Dhief, A. Hammouda
{"title":"New method of registration based on the theory of possibility","authors":"Wissal Ben Marzouka, B. Solaiman, K. Bsaïes, Zouhour Ben Dhief, A. Hammouda","doi":"10.1109/ATSIP.2018.8364458","DOIUrl":null,"url":null,"abstract":"This paper describes a new approach to registration based on the theory of possibilities. We have focused on keypoints extraction methods which present the most important phase for registration which are: Surf, Corner and BRISK. The appearance of a large number of false bones has encouraged us to present a new approach that aims to reduce as much as possible the outliers. The class-based image registration based on the theory of possibilities increases the performance so it reduces the number of false keypoints found.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATSIP.2018.8364458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper describes a new approach to registration based on the theory of possibilities. We have focused on keypoints extraction methods which present the most important phase for registration which are: Surf, Corner and BRISK. The appearance of a large number of false bones has encouraged us to present a new approach that aims to reduce as much as possible the outliers. The class-based image registration based on the theory of possibilities increases the performance so it reduces the number of false keypoints found.
基于可能性理论的配准新方法
本文提出了一种基于可能性理论的配准新方法。我们重点介绍了在注册过程中最重要的三个阶段的关键点提取方法:Surf, Corner和BRISK。大量假骨的出现促使我们提出一种旨在尽可能减少异常值的新方法。基于可能性理论的基于类的图像配准提高了性能,从而减少了发现假关键点的数量。
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 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