Fusion Algorithm for Infrared-Visual Image Sequences

Xin Wang, Gaolue Li
{"title":"Fusion Algorithm for Infrared-Visual Image Sequences","authors":"Xin Wang, Gaolue Li","doi":"10.1109/ICIG.2011.30","DOIUrl":null,"url":null,"abstract":"A novel fusion algorithm for infrared and visible image sequences based on moving target detection is proposed. The target regions are detected from the infrared sequences using improved mixed inter-frame difference. Only the target regions of infrared and visible images are fused with the new proposed fusion rules of nonsubsampled Contourlet transform (NSCT). Then the fused target regions are combined with background regions of visible images. The experimental results show that the method is feasible and efficient, not only possesses good infrared target feature, but also keeps the same detail information of the visible image.","PeriodicalId":277974,"journal":{"name":"2011 Sixth International Conference on Image and Graphics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Sixth International Conference on Image and Graphics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIG.2011.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

A novel fusion algorithm for infrared and visible image sequences based on moving target detection is proposed. The target regions are detected from the infrared sequences using improved mixed inter-frame difference. Only the target regions of infrared and visible images are fused with the new proposed fusion rules of nonsubsampled Contourlet transform (NSCT). Then the fused target regions are combined with background regions of visible images. The experimental results show that the method is feasible and efficient, not only possesses good infrared target feature, but also keeps the same detail information of the visible image.
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
红外视觉图像序列的融合算法
提出了一种基于运动目标检测的红外与可见光图像序列融合算法。利用改进的混合帧间差分从红外序列中检测目标区域。提出的非下采样Contourlet变换(NSCT)融合规则只对红外和可见光图像的目标区域进行融合。然后将融合后的目标区域与可见图像的背景区域结合。实验结果表明,该方法既具有良好的红外目标特征,又保持了与可见光图像相同的细节信息,是一种有效可行的方法。
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
Robust Face Recognition by Sparse Local Features from a Single Image under Occlusion LIDAR-based Long Range Road Intersection Detection A Novel Algorithm for Ship Detection Based on Dynamic Fusion Model of Multi-feature and Support Vector Machine Target Tracking Based on Wavelet Features in the Dynamic Image Sequence Visual Word Pairs for Similar Image Search
×
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