Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

Frequency Salient Based Fiber Detection

Authors
Yang Liu, Duo Zhang, Chunlei Li, Zhenduo Guo, Chaodie Liu
Corresponding Author
Yang Liu
Available Online November 2016.
DOI
10.2991/icimm-16.2016.129How to use a DOI?
Keywords
Fiber Anti-fake; Fiber Detection; Salient Image; Frequency tune
Abstract

The use of random and unique characteristics of the fiber distribution is an effective fiber anti-fake method in modern industry. Detecting and combing with the distribution of the fiber from images automatically can improve the efficiency of industrial production greatly. In this paper, we propose a frequency salient based fiber detection method which is robust to light condition and slightly background impurity. Our method exploits low level features of color and luminance, which is easy to implement, fast, and provides full resolution. The resulting saliency maps are better suited to fiber detection. The experiments are conducted on our released database, which include more than 10,000 fiber images, and the experimental results demonstrate the effectiveness of the proposed method.

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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Volume Title
Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
10.2991/icimm-16.2016.129
ISSN
2352-5401
DOI
10.2991/icimm-16.2016.129How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yang Liu
AU  - Duo Zhang
AU  - Chunlei Li
AU  - Zhenduo Guo
AU  - Chaodie Liu
PY  - 2016/11
DA  - 2016/11
TI  - Frequency Salient Based Fiber Detection
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 722
EP  - 727
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.129
DO  - 10.2991/icimm-16.2016.129
ID  - Liu2016/11
ER  -