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ISRN Artificial Intelligence
Volume 2012 (2012), Article ID 643473, 16 pages
http://dx.doi.org/10.5402/2012/643473
Research Article

A Set of Geometric Features for Neural Network-Based Textile Defect Classification

1Department of CSE, Prime University, 2A/1 North East of Darussalam Road, Section 1, Mirpur, Dhaka 1216, Bangladesh
2School of Engineering and Computer Science, Independent University, Bangladesh, Plot 16, Block B, Aftabuddin Ahmed Road, Bashundhara R/A, Dhaka 1229, Bangladesh

Received 28 September 2011; Accepted 19 October 2011

Academic Editors: C. Kotropoulos and Y. Liu

Copyright © 2012 Md. Tarek Habib and M. Rokonuzzaman. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Wenyu Li, and Longdi Cheng, “Yarn-dyed woven defect characterization and classification using combined features and support vector machine,” Journal of the Textile Institute, pp. 1–12, 2013. View at Publisher · View at Google Scholar