Crack Detection of 3D Asphalt Pavement Based on Multi-feature Test

QIU Yanjun; WANG Guolong; YANG Enhui; YU Xiaoli; WANG Chenping

doi:10.3969/j.issn.0258-2724.20180270

Volume 55 Issue 3

Jun. 2020

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Journal of Southwest Jiaotong University > 2020 > 55(3): 518-524.

QIU Yanjun, WANG Guolong, YANG Enhui, YU Xiaoli, WANG Chenping. Crack Detection of 3D Asphalt Pavement Based on Multi-feature Test[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 518-524. doi: 10.3969/j.issn.0258-2724.20180270

Citation:

QIU Yanjun, WANG Guolong, YANG Enhui, YU Xiaoli, WANG Chenping. Crack Detection of 3D Asphalt Pavement Based on Multi-feature Test[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 518-524. doi: 10.3969/j.issn.0258-2724.20180270

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Crack Detection of 3D Asphalt Pavement Based on Multi-feature Test

doi: 10.3969/j.issn.0258-2724.20180270

QIU Yanjun^{1,2
,},
WANG Guolong^{1,2
,},
YANG Enhui^1,2,
YU Xiaoli^1,2,
WANG Chenping^1,2,3

Received Date: 09 Apr 2018
Rev Recd Date: 28 Dec 2018

Available Online: 04 Jan 2018

Publish Date: 01 Jun 2020

Abstract

Abstract

In order to solve the accuracy problems in the crack detection of 3D asphalt pavement, which are mainly caused by low contrast between cracks and the surrounding area and complex pavement textures, a three-step preprocessing was conducted on original 3D images firstly, including size reducing, intensity correction and Gaussian smoothing. Then, three predominant feature tests of tilt-level, Gaussian-distribution and edge-gradient were applied to the image profiles of four directions successively so as to obtain the crack profiles. Moreover, the crack profiles of four directions were merged and denoised to acquire the intact cracks. Finally, according to the roughness of pavement surface, a related parameter in the Gaussian-distribution test was adjusted to realize the crack detection of high accuracy. The experiment result indicates that the proposed algorithm can reach 89.19% of accuracy, 93.69% of recall and 91.06% of F-measure, which outperforms another two typical 3D recognition algorithms based on the theories of 3D shadowing and crack seeds.
- road engineering,
- detection algorithm,
- image processing,
- pavement cracking,
- multi-feature,
- 3D images

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References(21)

References

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