Research on Ball-Pen Writing Quality Detection based on Machine Vision

DOI

10.2991/aeecs-18.2018.38How to use a DOI?

Keywords

Ball-pen; Area measurement; Edge detection; Morphological processing

Abstract

Writing fluidity is one of the most important quality inspection items in the ball-pen production. In order to realize the automatic inspection of ball-pen writing path quality, this paper developed the methods of threshold segmentation and morphology in image processing by Halcon and Visual Studio. Compared with the traditional manual detection method, the test results showed that this method improves the detection efficiency while ensuring the accuracy.

Copyright

© 2018, 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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TY  - CONF
AU  - Yuan He
AU  - Fen Chen
AU  - Hengchang Guo
PY  - 2018/03
DA  - 2018/03
TI  - Research on Ball-Pen Writing Quality Detection based on Machine Vision
BT  - Proceedings of the 2018 2nd International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2018)
PB  - Atlantis Press
SP  - 220
EP  - 223
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-18.2018.38
DO  - 10.2991/aeecs-18.2018.38
ID  - He2018/03
ER  -