西南交通大学学报2017，Vol.52Issue(2)：288-294,7.DOI:10.3969/j.issn.0258-2724.2017.02.011
基于三维光影模型的公路路面裂缝自动识别算法
Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling
摘要
Abstract
Automatic detection method for pavement cracking based on 3 D image technology has been a hot topic.In order to improve the accuracy and reliability of the cracking detection,a new method based on the 3D shadow modeling was proposed,which utilizes that the height of the fracture zone is lower than the surrounding area,and the shadow model was used to identify the cracking by the virtual light projection and then,the linear shape analysis method was used to discriminate cracks detection.Furthermore,both the connected-component analysis method and linear shape analysis method were adopted to remove the image noises.The results show that the automatic detection method can achieve 92.93％ of accuracy in pavement cracking detection.关键词
三维光影模型/公路路面/裂缝/识别算法Key words
3D shadow modeling/highway pavement/cracking/detection method分类
交通工程引用本文复制引用
阳恩慧,张傲南,丁世海,王郴平..基于三维光影模型的公路路面裂缝自动识别算法[J].西南交通大学学报,2017,52(2):288-294,7.基金项目
国家自然科学基金资助项目(51308477,U1534203) （51308477,U1534203）
中央高校基本科研业务费专项资金资助项目(2682015CX091) （2682015CX091）
