Defect detection based on two different algorithms of analysis and comparison

DOI

10.2991/iceeecs-16.2016.204How to use a DOI?

Keywords

Hilbert-Huang transform; Fabric defect detection; cross-correlation; OpenCV

Abstract

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.

Copyright

© 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/).

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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  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 1059
EP  - 1066
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.204
DO  - 10.2991/iceeecs-16.2016.204
ID  - Zhang2016/12
ER  -