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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Analysis and Design of Image Thresholding for Pothole Detection Algorithms

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Author Youngtae Jo, Seungki Ryu
ISSN 2079-8407
On Pages 532-538
Volume No. 6
Issue No. 10
Issue Date November 1, 2015
Publishing Date November 1, 2015
Keywords Potholes, advanced thresholding, vision-based pothole detection, pothole detection algorithm


Abstract

Potholes refer to a type of surface distress that is induced by the presence of water in the asphalt soil structure and heavy traffic. Potholes can seriously compromise driver safety and road efficiency. Many researchers and transportation experts have tried to develop appropriate pothole maintenance system. Recently, vision-based pothole detection methods have been studied using video data in order to collect pothole information. Most algorithms use a thresholding method to extract a pothole region from the background, which is one of the most important steps in pothole detection algorithms. In this study, we introduce an advanced thresholding for pothole detection algorithms. The proposed method is designed based on our previous pothole detection algorithm. Our experimental results show that the proposed thresholding provides better pothole detection performance than our previous thresholding method.
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