A Machine Vision System for Real-time Automated Gear Fatigue Pitting Detection
Authors
Zhang Jie, Ma Shuyuan, Huang Jie, Long Zhenhai
Corresponding Author
Zhang Jie
Available Online December 2012.
- DOI
- 10.2991/mems.2012.127How to use a DOI?
- Keywords
- machine vision, gear pitting, fatigue, image processing
- Abstract
The machine vision system for the detection of the gear pitting is an essential element for the mechanical fatigue test, because the whole system effectively integrates internal information of the fatigue test to classify the related data into different sort automatically. Therefore, an industrial machine vision for gear pitting detection is proposed in this paper, and an image processing algorithm which mainly consists of image segmentation algorithm and contour computation is presented.
- Copyright
- © 2012, 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 - Zhang Jie AU - Ma Shuyuan AU - Huang Jie AU - Long Zhenhai PY - 2012/12 DA - 2012/12 TI - A Machine Vision System for Real-time Automated Gear Fatigue Pitting Detection BT - Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012) PB - Atlantis Press SP - 483 EP - 486 SN - 1951-6851 UR - https://doi.org/10.2991/mems.2012.127 DO - 10.2991/mems.2012.127 ID - Jie2012/12 ER -