Road Marking Visibility Evaluation Based on Object Detection and Iterative Threshold Segmentation

被引：0
作者：
Dong Q. [1 ]
Lin Y. [1 ]
Wang S. [1 ]
Chu Z. [1 ]
Chen X. [2 ]
Yan S. [1 ]
机构：
[1] School of Transportation, Southeast University, Nanjing
[2] School of Science, Nanjing University of Science & Technology, Nanjing
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2023年 / 51卷 / 08期
关键词：
iterative threshold segmentation; road marking; visibility evaluation; YOLOv5;
D O I：
10.11908/j.issn.0253-374x.23196
中图分类号：
学科分类号：
摘要：
A road marking segmentation algorithm based on object detection and iterative threshold segmentation was proposed. The BiFormer-improved YOLOv5 was adopted to locate road markings and obtain image patches. Then，the iterative threshold segmentation was used to capture the accurate region of road markings. Finally，the extracted road markings were evaluated for visibility based on Weber contrast. The results show that the proposed method can extract road markings rapidly and accurately，and effectively evaluate the road marking visibility. © 2023 Science Press. All rights reserved.
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页码：1168 / 1173and1190
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