Detection and Segmentation of Cement Concrete Pavement Pothole Based on Image Processing Technology
المؤلفون المشاركون
Gao, Mingxing
Wang, Xu
Zhu, Shoulin
Guan, Peng
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-28
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193154
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر