Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

The Height Measurement of Exposed Ball in Ball Pen Based on Machine Vision

Authors
Qingqing Xu, Fen Chen, Hengchang Guo
Corresponding Author
Qingqing Xu
Available Online July 2017.
DOI
10.2991/icadme-17.2017.7How to use a DOI?
Keywords
Ball pen, Size measurement, Corner detection, Least square curve fitting
Abstract

The height measurement of exposed ball is one of the most important quality test items in the production of ball pens. The automatic detection method based on machine vision has huge superiority, compared with the traditional manual inspection method. In order to realize automatic measurement of exposed ball's height, image processing methods are introduced (e.g., corner detection and least-squares curve fitting) to develop the automatic detection system of exposed ball based on Halcon. The test results show that, compared with the traditional manual inspection, our proposal not only can ensure the detection accuracy, but also improve the detection efficiency.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
10.2991/icadme-17.2017.7
ISSN
2352-5401
DOI
10.2991/icadme-17.2017.7How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qingqing Xu
AU  - Fen Chen
AU  - Hengchang Guo
PY  - 2017/07
DA  - 2017/07
TI  - The Height Measurement of Exposed Ball in Ball Pen Based on Machine Vision
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 31
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.7
DO  - 10.2991/icadme-17.2017.7
ID  - Xu2017/07
ER  -