Detection and Segmentation of Cement Concrete Pavement Pothole Based on Image Processing Technology
Joint Authors
Gao, Mingxing
Wang, Xu
Zhu, Shoulin
Guan, Peng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Potholes are the most common form of distress on cement concrete pavements, which can compromise pavement safety and ridability.
Thus, timely and accurate pothole detection is an important task in developing proper maintenance strategies and ensuring driving safety.
This paper proposes a method of integrating the processing of grayscale and texture features.
This method mainly combines industrial camera to realize rapid and accurate detection of pothole.
Image processing techniques including texture filters, image grayscale, morphology, and extraction of the maximum connected domain are used synergistically to extract useful features from digital images.
A machine learning model based on the library for support vector machine (LIBSVM) is constructed to distinguish potholes from longitudinal cracks, transverse cracks, and complex cracks.
The method is validated using data collected from agricultural and pastoral areas of Inner Mongolia, China.
The comprehensive experiments for recognition of potholes show that the recall, precision, and F1-Score achieved are 100%, 97.4%, and 98.7%, respectively.
In addition, the overlap rate between the extracted pothole region and the original image is estimated.
Images with an overlap rate greater than 90% accounted for 76.8% of the total image, and images with an overlap rate greater than 80% accounted for 94% of the total image.
A comparison discloses that the proposed approach is superior to the existing method not only from the perspective of the accuracy of pothole detection but also from the perspective of the segmentation effect and processing efficiency.
American Psychological Association (APA)
Gao, Mingxing& Wang, Xu& Zhu, Shoulin& Guan, Peng. 2020. Detection and Segmentation of Cement Concrete Pavement Pothole Based on Image Processing Technology. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1193154
Modern Language Association (MLA)
Gao, Mingxing…[et al.]. Detection and Segmentation of Cement Concrete Pavement Pothole Based on Image Processing Technology. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1193154
American Medical Association (AMA)
Gao, Mingxing& Wang, Xu& Zhu, Shoulin& Guan, Peng. Detection and Segmentation of Cement Concrete Pavement Pothole Based on Image Processing Technology. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1193154
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193154