Automatic parallel cracking detection algorithm based on 1 mm resolution 3D pavement images

被引：4

作者：

Peng, Bo ^{[1
]}

Jiang, Yangsheng ^{[2
,3
]}

Chen, Cheng ^{[4
]}

Wang, Kelvin C. P. ^{[4
]}

机构：

[1] College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing

[2] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu

[3] Comprehensive Transportation Key Laboratory of Sichuan Province, Southwest Jiaotong University, Chengdu

[4] School of Civil and Environmental Engineering, Oklahoma State University, 74078, OK

来源：

Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2015年 / 45卷 / 06期

关键词：

Crack seeds; Cracking fusion; Image processing; Pavement crack; Recognition algorithm; Road engineering;

D O I：

10.3969/j.issn.1001-0505.2015.06.030

中图分类号：

学科分类号：

摘要：

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 pavement 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 parallel programming, which can effectively improve computing speed. © 2015, Southeast University. All right reserved.

引用

页码：1190 / 1196

页数：6

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