Image Denoising of Seam Images With Deep Learning for Laser Vision Seam Tracking
Author:
Affiliation:
1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, China
2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
National Key Research and Development Project of China
Science and Technology Research Project, Henan Province, China
Outstanding ForeignScientist Support Project in Henan Province of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9733818/09696315.pdf?arnumber=9696315
Reference43 articles.
1. Fully convolutional networks for semantic segmentation
2. CBAM: Convolutional block attention module;woo;Proc Eur Conf Comput Vis (ECCV),2018
3. Sentence-State LSTM for Text Representation
4. A critical review of recurrent neural networks for sequence learning;lipton;arXiv 1506 00019,2015
5. Medical image denoising using convolutional neural network: a residual learning approach
Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A novel laser stripe key point tracker based on self-supervised learning and improved KCF for robotic welding seam tracking;Journal of Manufacturing Processes;2024-10
2. A novel reflective interference mitigation model for laser stripe extraction;Measurement;2024-09
3. A lightweight deep learning method for real-time weld feature extraction under strong noise;Signal, Image and Video Processing;2024-08-02
4. A dense triple-level attention-based network for surgical instrument segmentation;Multimedia Tools and Applications;2024-07-25
5. DSNet: A dynamic squeeze network for real-time weld seam image segmentation;Engineering Applications of Artificial Intelligence;2024-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3