TDD‐net: a tiny defect detection network for printed circuit boards
Author:
Affiliation:
1. Key Laboratory of Machine PerceptionPeking University, Shenzhen Graduate SchoolPeople's Republic of China
2. Shenzhen Skyworth‐RGB Electronic, CO., Ltd.People's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2019.0019
Reference26 articles.
1. PuteraS.IbrahimZ.: ‘Printed circuit board defect detection using mathematical morphology and matlab image processing tools’.Int. Conf. on Education Technology and Computer (ICETC) Shanghai China June2010 pp.359–363
2. Automated Visual Inspection: A Survey
3. DengY.S.LuoA.C.DaiM.J.: ‘Building an automatic defect verification system using deep neural network for pcb defect classification’.Int. Conf. on Frontiers of Signal Processing (ICFSP) Poitiers France September2018 pp.145–149
4. PCB defect detection, classification and localization using mathematical morphology and image processing tools;Malge P.S.;Int. J. Comput. Appl.,2014
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