A Lightweight Network for Defect Detection in Nickel-Plated Punched Steel Strip Images-Reference-Cited by-同舟云学术

A Lightweight Network for Defect Detection in Nickel-Plated Punched Steel Strip Images

Published:2023 Issue: Volume:72 Page:1-15
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liang Yincong¹^ORCID,Li Jianqi¹^ORCID,Zhu Jiang²^ORCID,Du Rui²^ORCID,Wu Xiru²^ORCID,Chen Bingquan¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Jishou University, Jishou, China

2. Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft, Hunan University of Arts and Sciences, Changde, China

Funder

Hunan Postgraduate Scientific Research Innovation Project

Hunan Province Natural Science Foundation of China

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10019311.pdf?arnumber=10019311

Reference47 articles.

1. Deep Learning and Machine Vision Based Inspection of Rail Surface Defects

2. Development of an optical defect inspection algorithm based on an active contour model for large steel roller surfaces

3. Generalized Completed Local Binary Patterns for Time-Efficient Steel Surface Defect Classification

4. Non-parametric texture defect detection using Weibull features

5. A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures

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