Wood defects classification using GLCM based features and PSO trained neural network

Qayyum, R, Kamal, K, Zafar, T and Mathavan, S ORCID logoORCID: https://orcid.org/0000-0001-7003-2874, 2016. Wood defects classification using GLCM based features and PSO trained neural network. In: Xu, Z and Wang, J, eds., ICAC 2016: 22nd International Conference on Automation and Computing, University of Essex, Colchester, 7-8 September 2016: Tackling the New Challenges in Automation & Computing. ICAC series . Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers, Inc., pp. 273-277. ISBN 9781862181311

Full text not available from this repository.
Item Type: Chapter in book
Creators: Qayyum, R., Kamal, K., Zafar, T. and Mathavan, S.
Publisher: Institute of Electrical and Electronics Engineers, Inc.
Place of Publication: Piscataway, NJ, USA
Date: 2016
ISBN: 9781862181311
Identifiers:
Number
Type
10.1109/IConAC.2016.7604931
DOI
Divisions: Schools > School of Architecture, Design and the Built Environment
Record created by: Jill Tomkinson
Date Added: 02 Nov 2017 11:51
Last Modified: 02 Nov 2017 11:51
URI: https://irep.ntu.ac.uk/id/eprint/31943

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