东南大学学报（自然科学版）Issue(6)：1190-1196,7.DOI:10.3969/j.issn.1001-0505.2015.06.030
基于1 mm 精度路面三维图像的裂缝自动并行识别算法
Automatic parallel cracking detection algorithm based on 1 mm resolution 3D pavement images
摘要
Abstract
In order to detect pavement cracking rapidly,accurately and completely,an automatic cracking recognition algorithm with a parallel structure is proposed based on 1 mm/pixel 3D pave-ment images.First,image dimensional reduction is conducted.A source image is divided into blocks of 8 ×8 pixels from origin pixels (0,0)and (4,4),respectively,and two partly overlapped images with lower dimensions are obtained correspondingly.Then,crack seed recognition and crack connection are conducted on the two lower-dimensional images,forming 10 parallel sub-workflows, from which 10 preliminary crack images are generated.Finally,the 10 preliminary crack images are fused and then processed via sliding-window denoising techniques,yielding final crack image.Test results show that the proposed algorithm achieves relatively high precision (averaging 92.56%)and recall (averaging 90.59%).It outperforms Otsu threshold segmentation and Canny edge detection with an F score of 90.59%.Furthermore,the parallel structure of the proposed algorithm helps par-allel programming,which can effectively improve computing speed.关键词
道路工程/识别算法/图像处理/路面裂缝/裂缝融合/裂缝种子Key words
road engineering/recognition algorithm/image processing/pavement crack/cracking fusion/crack seeds分类
交通工程引用本文复制引用
彭博,蒋阳升,陈成,Kelvin C.P.Wang..基于1 mm 精度路面三维图像的裂缝自动并行识别算法[J].东南大学学报（自然科学版）,2015,(6):1190-1196,7.基金项目
国家自然科学基金资助项目（51108391）、中央高校基本科研业务费专项资金科技创新项目（A0920502051208-99）． （）
