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http://dx.doi.org/10.5573/ieie.2014.51.10.248

Pothole Detection Method in Asphalt Pavement  

Kim, Young-Ro (Dept. of Computer Science and Information, Myongji College)
Kim, Taehyeong (SOC Research Institute, Korea Institute of Construction Technology)
Ryu, Seungki (SOC Research Institute, Korea Institute of Construction Technology)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.10, 2014 , pp. 248-255 More about this Journal
Abstract
In this paper, we propose a pothole detection method in asphalt pavement using various features. Segmentation, candidate, and decision steps of pothole detection are processed according to the values which are derived from feature characteristics. Segmentation step, we use histogram and closing operation of morphology filter which extracts dark regions for pothole detection. Candidate step, we extract candidate regions of pothole using various features such as size, compactness, etc. Finally, decision step, candidate regions are decided whether pothole or not using comparison of pothole and background's features. Experimental results show that our proposed pothole detection method has better results than existing methods and good performance in discrimination of pothole and similar patterns.
Keywords
Feature; pothole; detection; segmentation; morphology;
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Times Cited By KSCI : 2  (Citation Analysis)
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