Row‐level algorithm to improve real‐time performance of glass tube defect detection in the production phase-Reference-Cited by-同舟云学术

Row‐level algorithm to improve real‐time performance of glass tube defect detection in the production phase

Published:2020-09-09 Issue:12 Volume:14 Page:2911-2921
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

De Vitis Gabriele A.¹,Foglia Pierfrancesco¹,Prete Cosimo A.¹

Affiliation:

1. Dipartimento di Ingegneria dell'informazioneUniversità di PisaVia Diotisalvi 2PisaItaly

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1506

Reference38 articles.

1. Pharmaceutical aspects of glass and rubber;Berry H.;J. Pharm. Pharmacol.,2011

2. Historical Review of Glasses Used for Parenteral Packaging

3. Glass delamination and breakage, new answers for a growing problem;Reynolds G.;Bioprocess. Int.,2011

4. Glass Vials for Small Volume Parenterals: Influence of Drug and Manufacturing Processes on Glass Delamination

5. Food and Drug Administration: ‘Recalls market withdrawals & safety alerts search’. Available athttps://www.fda.gov/Safety/Recalls/ accessed February 2018

Cited by 18 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. Revolutionizing Quality Control: A Machine Learning Approach for Precise Surface Defect Detection and Localization in Industrial Components;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

2. The Application of Convolutional Neural Networks and Fuzzy Logic in Control and Automation Systems for Recognizing and Assessing the Danger Level of Hot Cracks in the Production of Cast Products;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25

3. Deep Learning-Based Integrated Circuit Surface Defect Detection: Addressing Information Density Imbalance for Industrial Application;International Journal of Computational Intelligence Systems;2024-02-14

4. A Surface Crack Detection System Based on Image Input: The CNN Approach;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

5. Self-supervised Learning for Robust Surface Defect Detection;Communications in Computer and Information Science;2024