Research on Multi-Background Camouflage Pattern Design Method Based on Feature Fusion

Haibo Fang, R. Peng, Xianggang Sha, Yongsheng Lv
{"title":"Research on Multi-Background Camouflage Pattern Design Method Based on Feature Fusion","authors":"Haibo Fang, R. Peng, Xianggang Sha, Yongsheng Lv","doi":"10.1109/ICVISP54630.2021.00056","DOIUrl":null,"url":null,"abstract":"In order to solve the problem that the single-background camouflage patterns designed by the existing methods cannot meet the camouflage requirements under the multi-terrain background, a multi-background camouflage pattern design method based on feature fusion is proposed, and formed a complete set of multi-background camouflage pattern design theory. Through similarity analysis of background images, camouflage color determination, patch extraction and other steps, the color and patch shape features are extracted, and then the features are merged to generate a multi-background camouflage pattern, which is suitable for multi-regional camouflage. The simulation experiment results show that the multi-background camouflage pattern is better integrated with each background in terms of brightness, color and texture characteristics. Compared with the single-background camouflage pattern, the camouflage similarity index (CSI) increased by 8.1% and 10.8% respectively.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVISP54630.2021.00056","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

In order to solve the problem that the single-background camouflage patterns designed by the existing methods cannot meet the camouflage requirements under the multi-terrain background, a multi-background camouflage pattern design method based on feature fusion is proposed, and formed a complete set of multi-background camouflage pattern design theory. Through similarity analysis of background images, camouflage color determination, patch extraction and other steps, the color and patch shape features are extracted, and then the features are merged to generate a multi-background camouflage pattern, which is suitable for multi-regional camouflage. The simulation experiment results show that the multi-background camouflage pattern is better integrated with each background in terms of brightness, color and texture characteristics. Compared with the single-background camouflage pattern, the camouflage similarity index (CSI) increased by 8.1% and 10.8% respectively.
基于特征融合的多背景伪装图案设计方法研究
为了解决现有方法设计的单背景伪装图案不能满足多地形背景下伪装要求的问题,提出了一种基于特征融合的多背景伪装图案设计方法,形成了一套完整的多背景伪装图案设计理论。通过背景图像相似度分析、迷彩颜色确定、斑块提取等步骤,提取颜色和斑块形状特征,然后将这些特征合并,生成适合多区域迷彩的多背景迷彩图案。仿真实验结果表明,该多背景伪装图案在亮度、颜色和纹理特征上与各背景融合较好。与单一背景伪装模式相比,伪装相似指数(CSI)分别提高了8.1%和10.8%。
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