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Academic Journal of Computing & Information Science, 2023, 6(1); doi: 10.25236/AJCIS.2023.060113.

Research on Pavement Crack Detection and Recognition Algorithm


Wang Zheng, Guo Jianxin, Hu Chengyu, Qiao Fengkang

Corresponding Author:
Guo Jianxin

School of Electronic Information Engineering, Xijing University, Xi’an, Shaanxi, 710123, China


In order to solve the shortcomings such as low efficiency and great risk of detection and recognition algorithm of road surface, this paper studies the algorithm program of detection and recognition of road surface from the Angle of digital image processing based on computer road and track automation technology, and makes many parameter calculations for horizontal, longitudinal, massive and mesh cracks of road surface. The results show that compared with the traditional detection and recognition methods, the algorithm program studied in this paper effectively improves the measurement accuracy of pavement cracks and the accuracy of crack identification, and the program has high feasibility in road detection and recognition.


Crack in Road Surface; Digital Image Processing; Identification of Cracks

Cite This Paper

Wang Zheng, Guo Jianxin, Hu Chengyu, Qiao Fengkang. Research on Pavement Crack Detection and Recognition Algorithm. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 1: 83-98. https://doi.org/10.25236/AJCIS.2023.060113.


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