Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching
Joint Authors
Du, Yuchuan
Wu, Difei
Weng, Zihang
Liu, Chenglong
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Camera-based pavement distress detection plays an important role in pavement maintenance.
Duplicate collections for the same distress and multiple overlaps of defects are both practical problems that greatly affect the detection results.
In this paper, we propose a fine-grained feature-matching and image-stitching method for pavement distress detection to eliminate duplications and visually demonstrates local pavement distress.
The original images are processed through a hierarchical structure, including rough data filtering, feature matching, and image stitching.
The original data are firstly filtered based on the global position system (GPS) information, which can avoid full-dataset comparison and improve the calculating efficiency.
A scale-invariant feature transform is introduced for feature matching based on the extracted key regions using spectral saliency mapping and bounding boxes.
Two parameters: the mean Euclidean distance (MEuD) and the matching rate (MCR) are constructed to identify the duplication between two images.
A support vector machine is then applied to determine the threshold of MEuD and MCR.
This paper further discusses the correlation between the sampling frequency and the number of detection vehicles.
The method provided can effectively solve the problem of duplications in pavement distress detection and enhances the feasibility of multivehicle pavement distress detection based on images.
American Psychological Association (APA)
Du, Yuchuan& Weng, Zihang& Liu, Chenglong& Wu, Difei. 2020. Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1175794
Modern Language Association (MLA)
Du, Yuchuan…[et al.]. Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching. Journal of Advanced Transportation No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1175794
American Medical Association (AMA)
Du, Yuchuan& Weng, Zihang& Liu, Chenglong& Wu, Difei. Dynamic Pavement Distress Image Stitching Based on Fine-Grained Feature Matching. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1175794
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175794