A new multi-spectral image registration algorithm

Wu Kun, Bin Li, Zongxin Liu, Yifan Shen, Jing Hu
{"title":"A new multi-spectral image registration algorithm","authors":"Wu Kun, Bin Li, Zongxin Liu, Yifan Shen, Jing Hu","doi":"10.1117/12.2619451","DOIUrl":null,"url":null,"abstract":"In this paper, an EOH based multi-spectral image registration algorithm is proposed, which is robust to rotation and scale changes. The key points of EOH descriptor have no main direction, and the neighborhood size of key points is fixed, so it is not robust to rotation change and scale change. The existing multi-spectral image registration methods mainly use the gradient features of the neighborhood of key points, but the gradient information between multi-spectral images is not stable, resulting in the limited improvement effect of these methods. The method proposed in this paper uses mutual information measure to calculate the relative rotation angle between images, so as to determine the main direction of key points, calculate the key point descriptor according to the main direction of key points, and make the size of key point neighborhood change with the scale of key points. Experimental results show that the proposed method in this paper is more robust to rotation and scale change.","PeriodicalId":201899,"journal":{"name":"International Conference on Optical Instruments and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Optical Instruments and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2619451","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 this paper, an EOH based multi-spectral image registration algorithm is proposed, which is robust to rotation and scale changes. The key points of EOH descriptor have no main direction, and the neighborhood size of key points is fixed, so it is not robust to rotation change and scale change. The existing multi-spectral image registration methods mainly use the gradient features of the neighborhood of key points, but the gradient information between multi-spectral images is not stable, resulting in the limited improvement effect of these methods. The method proposed in this paper uses mutual information measure to calculate the relative rotation angle between images, so as to determine the main direction of key points, calculate the key point descriptor according to the main direction of key points, and make the size of key point neighborhood change with the scale of key points. Experimental results show that the proposed method in this paper is more robust to rotation and scale change.
一种新的多光谱图像配准算法
本文提出了一种基于EOH的多光谱图像配准算法,该算法对旋转和尺度变化具有鲁棒性。EOH描述子的关键点没有主方向,关键点的邻域大小是固定的,因此对旋转变化和尺度变化的鲁棒性不强。现有的多光谱图像配准方法主要利用了关键点邻域的梯度特征,但多光谱图像之间的梯度信息不稳定,导致这些方法的改进效果有限。本文提出的方法利用互信息测度计算图像之间的相对旋转角度,从而确定关键点的主方向,根据关键点的主方向计算关键点描述符,并使关键点邻域的大小随着关键点的尺度而变化。实验结果表明,该方法对旋转和尺度变化具有较强的鲁棒性。
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:604180095
Book学术官方微信