Defect detection based on two different algorithms of analysis and comparison
Xiaowei Zhang, Xiujuan Fan
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.204How to use a DOI?
- Hilbert-Huang transform; Fabric defect detection; cross-correlation; OpenCV
- Fabric defect detection has been an active area of research since a long time and still a robust system is needed which can fulfill industrial requirements. A robust automatic fabric defect detection system (FDDS) would results in quality products and more revenues. Many different approaches and method have been tried to implement FDDS. This paper presents a new scheme for automated FDDS implementation using Hilbert-Huang Transform (HHT) and also compares it with OpenCV approach. In my implementation of both approaches in same environment, the HHT approach produces higher defect detection accuracies than OpenCV approach and more computationally efficient. The article is divided into four parts, the first part is the introduction of two methods, the second part for the two methods defect detection system implementation, the third part is the results and the discussion of two methods, the fourth part is the conclusion.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaowei Zhang AU - Xiujuan Fan PY - 2016/12 DA - 2016/12 TI - Defect detection based on two different algorithms of analysis and comparison BT - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/iceeecs-16.2016.204 DO - https://doi.org/10.2991/iceeecs-16.2016.204 ID - Zhang2016/12 ER -