An Image Processing Approach for Analyzing Assessment of Pavement Distress-Reference-Cited by-同舟云学术

An Image Processing Approach for Analyzing Assessment of Pavement Distress

Published:2018-05-26 Issue: Volume: Page:493-502
ISSN:2367-3370
Container-title:Innovations in Computer Science and Engineering
language:
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Author:

Pandey Surya,Dholay Surekha

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-8201-6_55

Reference19 articles.

1. Hu, Y., Zhao, C.x.: A novel lbp based methods for pavement crack detection. Journal of pattern Recognition research 5(1) (2010) 140–147.

2. Salman, M., Mathavan, S., Kamal, K., Rahman, M.: Pavement crack detection using the gabor lter. In: Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on, IEEE (2013) 2039–2044.

3. Huidrom, L., Das, L.K., Sud, S.: Method for automated assessment of potholes, cracks and patches from road surface video clips. Procedia-Social and Behavioral Sciences 104 (2013) 312–321.

4. Jahanshahi, M.R., Masri, S.F., Padgett, C.W., Sukhatme, G.S.: An innovative methodology for detection and quanti cation of cracks through incorporation of depth perception. Machine vision and applications (2013) 1–15.

5. Oliveira, H., Correia, P.L.: Automatic road crack detection and characterization. IEEE Transactions on Intelligent Transportation Systems 14(1) (2013) 155–168.

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