Research on a multi-dimensional image information fusion algorithm based on NSCT transform.

IF 4.1 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Frontiers of Optoelectronics Pub Date : 2024-01-23 DOI:10.1007/s12200-023-00104-0
Yuxiang Su, Xi Liang, Danhua Cao, Zhenyu Yang, Yuanlong Peng, Ming Zhao
{"title":"Research on a multi-dimensional image information fusion algorithm based on NSCT transform.","authors":"Yuxiang Su, Xi Liang, Danhua Cao, Zhenyu Yang, Yuanlong Peng, Ming Zhao","doi":"10.1007/s12200-023-00104-0","DOIUrl":null,"url":null,"abstract":"<p><p>Traditional inspection cameras determine targets and detect defects by capturing images of their light intensity, but in complex environments, the accuracy of inspection may decrease. Information based on polarization of light can characterize various features of a material, such as the roughness, texture, and refractive index, thus improving classification and recognition of targets. This paper uses a method based on noise template threshold matching to denoise and preprocess polarized images. It also reports on design of an image fusion algorithm, based on NSCT transform, to fuse light intensity images and polarized images. The results show that the fused image improves both subjective and objective evaluation indicators, relative to the source image, and can better preserve edge information and help to improve the accuracy of target recognition. This study provides a reference for the comprehensive application of multi-dimensional optical information in power inspection.</p>","PeriodicalId":12685,"journal":{"name":"Frontiers of Optoelectronics","volume":"17 1","pages":"4"},"PeriodicalIF":4.1000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11413279/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Optoelectronics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12200-023-00104-0","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Traditional inspection cameras determine targets and detect defects by capturing images of their light intensity, but in complex environments, the accuracy of inspection may decrease. Information based on polarization of light can characterize various features of a material, such as the roughness, texture, and refractive index, thus improving classification and recognition of targets. This paper uses a method based on noise template threshold matching to denoise and preprocess polarized images. It also reports on design of an image fusion algorithm, based on NSCT transform, to fuse light intensity images and polarized images. The results show that the fused image improves both subjective and objective evaluation indicators, relative to the source image, and can better preserve edge information and help to improve the accuracy of target recognition. This study provides a reference for the comprehensive application of multi-dimensional optical information in power inspection.

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
基于 NSCT 变换的多维图像信息融合算法研究。
传统的检测相机通过捕捉光强图像来确定目标和检测缺陷,但在复杂的环境中,检测精度可能会降低。基于光偏振的信息可以表征材料的各种特征,如粗糙度、纹理和折射率,从而改进目标的分类和识别。本文采用基于噪声模板阈值匹配的方法对偏振图像进行去噪和预处理。本文还报告了基于 NSCT 变换的图像融合算法的设计情况,该算法用于融合光强图像和偏振图像。结果表明,相对于源图像,融合后的图像在主观和客观评价指标上都有所改善,能更好地保留边缘信息,有助于提高目标识别的准确性。该研究为多维光学信息在电力检测中的综合应用提供了参考。
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
Frontiers of Optoelectronics
Frontiers of Optoelectronics ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
7.80
自引率
0.00%
发文量
583
期刊介绍: Frontiers of Optoelectronics seeks to provide a multidisciplinary forum for a broad mix of peer-reviewed academic papers in order to promote rapid communication and exchange between researchers in China and abroad. It introduces and reflects significant achievements being made in the field of photonics or optoelectronics. The topics include, but are not limited to, semiconductor optoelectronics, nano-photonics, information photonics, energy photonics, ultrafast photonics, biomedical photonics, nonlinear photonics, fiber optics, laser and terahertz technology and intelligent photonics. The journal publishes reviews, research articles, letters, comments, special issues and so on. Frontiers of Optoelectronics especially encourages papers from new emerging and multidisciplinary areas, papers reflecting the international trends of research and development, and on special topics reporting progress made in the field of optoelectronics. All published papers will reflect the original thoughts of researchers and practitioners on basic theories, design and new technology in optoelectronics. Frontiers of Optoelectronics is strictly peer-reviewed and only accepts original submissions in English. It is a fully OA journal and the APCs are covered by Higher Education Press and Huazhong University of Science and Technology. ● Presents the latest developments in optoelectronics and optics ● Emphasizes the latest developments of new optoelectronic materials, devices, systems and applications ● Covers industrial photonics, information photonics, biomedical photonics, energy photonics, laser and terahertz technology, and more
期刊最新文献
Correction: White light emission in 0D halide perovskite [(CH3)3S]2SnCl6·H2O crystals through variation of doping ns2 ions. Multi-octave two-color soliton frequency comb in integrated chalcogenide microresonators. Vehicular Mini-LED backlight display inspection based on residual global context mechanism. Plasma photonic crystal 'kaleidoscope' with flexible control of topology and electromagnetism. Information processing at the speed of light.
×
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