Journal of Signal and Information Processing

Vol.9 No.2(2018), Paper ID 85023, 12 pages

DOI:10.4236/jsip.2018.92007

 

Statistical Features and Traditional SA-SVM Classification Algorithm for Crack Detection

 

Azadeh Noori Hoshyar, Sergey Kharkovsky, Bijan Samali

 

Centre of Infrastructure Engineering, Western Sydney University, Sydney, Australia
Centre of Infrastructure Engineering, Western Sydney University, Sydney, Australia
Centre of Infrastructure Engineering, Western Sydney University, Sydney, Australia

 

Copyright © 2018 Azadeh Noori Hoshyar, Sergey Kharkovsky, Bijan Samali et al. 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.

 

How to Cite this Article


Hoshyar, A. , Kharkovsky, S. and Samali, B. (2018) Statistical Features and Traditional SA-SVM Classification Algorithm for Crack Detection. Journal of Signal and Information Processing, 9, 111-121. doi: 10.4236/jsip.2018.92007.

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