Quality Detection of Magnetic Ring Surface Based-on Machine Vision
Authors: 
Hongyun Zheng, Jianwei MaAuthors Info & Claims
Pages 88 - 92
Abstract
This article investigates an effective magnetic ring surface quality inspection method by studying the geometric characteristics of the magnetic ring surface. Digital image processing techniques such as median filtering and threshold transformation are used to accurately detect defects on the surface of the magnetic ring in this paper. The least square circle fit arithmetic and a new roundness measurement algorithm are applied to the geometric feature recognition of the magnetic ring surface. It is proved by practice that the method has accurate conclusions and high precision, and can meet the requirements of magnetic ring surface detection.
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Index Terms
- Quality Detection of Magnetic Ring Surface Based-on Machine Vision
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Published In
December 2019
263 pages
ISBN:9781450377027
DOI:10.1145/3375998
Copyright © 2019 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 January 2020
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Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICNCC 2019
ICNCC 2019: 2019 The 8th International Conference on Networks, Communication and Computing
December 13 - 15, 2019
Luoyang, China
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