An evolutionary classifier for steel surface defects with small sample set-Reference-Cited by-同舟云学术

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An evolutionary classifier for steel surface defects with small sample set

Published:2017-07-17 Issue:1 Volume:2017 Page:
ISSN:1687-5281
Container-title:EURASIP Journal on Image and Video Processing
language:en
Short-container-title:J Image Video Proc.

Author:

Xiao Mang,Jiang Mingming,Li Guangyao,Xie Li,Yi Li

Funder

National Nature Science Foundation of China

Foundation of Shanghai Institute of Technology

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13640-017-0197-y.pdf

Reference27 articles.

1. N Neogi, DK Mohanta, PK Dutta, Review of vision-based steel surface inspection systems. EURASIP J Image Video Process. 2014(1), 1–19 (2014).

2. F Dupont, C Odet, M Cartont, Optimization of the recognition of defects in flat steel products with the cost matrices theory. NDT & E International. 30(1), 3–10 (1997).

3. C Unsalan, A Erci, Automated inspection of steel structures. Recent Advances in Mechatronics (Springer-Verlag Ltd, Singapore, 1999).

4. S Ghorai, A Mukherjee, M Gangadaran, PK Dutta, Automatic defect detection on hot-rolled flat steel products. IEEE Trans. Instrum. Meas. 62(3), 612–621 (2013). doi: 10.1109/TIM.2012.2218677 .

5. X-Y Wu, K Xu, J-W Xu, in Image and Signal Processing, 2008. CISP’08. Congress on, 4. Application of undecimated wavelet transform to surface defect detection of hot rolled steel plates (IEEE, 2008), pp. 528–532. http://ieeexplore.ieee.org/document/4566708/ .

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