Surface Defect Detection Method of Mechanical Parts Based on Target Feature
Chengcheng Wang, Shengqi Guan, Wensen Li, Benben Hong, Hong Liang
Available Online September 2016.
- 10.2991/icmmbe-16.2016.45How to use a DOI?
- Mechanical parts; Surface defect; Target feature; Detection method
Through the analysis of surface defect characteristic about mechanical parts, a new method of based on target feature was presented to surface defect detection of mechanical parts. First of all, the test image is processed by mean-filter in order to eliminate the effect of noise on the detection. Secondly, based on the analysis of the characteristic of the surface defect, the segmentation threshold is set, and segment surface defect of mechanical parts. Finally, the effect of noise and outlier on the detection result was eliminated by morphological filtering. Experiment shows that the method can effectively suppress the image background interference, and more accurately realize the surface defect detection of mechanical parts.
- © 2016, 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 - Chengcheng Wang AU - Shengqi Guan AU - Wensen Li AU - Benben Hong AU - Hong Liang PY - 2016/09 DA - 2016/09 TI - Surface Defect Detection Method of Mechanical Parts Based on Target Feature BT - Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016) PB - Atlantis Press SP - 229 EP - 232 SN - 2352-5401 UR - https://doi.org/10.2991/icmmbe-16.2016.45 DO - 10.2991/icmmbe-16.2016.45 ID - Wang2016/09 ER -