Research on Crack Identification Technology Based on Sobel + Matched Filter Joint Algorithm

Authors

WEN Yan, Sichuan Lexi Expressway Co .,Ltd., Xichang , Sichuan 615099 , ChinaFollow
GUO Xiaoqian, School of Civil Engineering , Southwest Jiaotong University ,Chengdu , Sichuan 610031 , China ;Key Laboratory of Highway Engineering of Sichuan Province , Southwest Jiaotong University , Chengdu , Sichuan 610031 , China
TANG Youzhi, School of Civil Engineering , Southwest Jiaotong University ,Chengdu , Sichuan 610031 , China ;Key Laboratory of Highway Engineering of Sichuan Province , Southwest Jiaotong University , Chengdu , Sichuan 610031 , China
YANG Enhui, School of Civil Engineering , Southwest Jiaotong University ,Chengdu , Sichuan 610031 , China ;Key Laboratory of Highway Engineering of Sichuan Province , Southwest Jiaotong University , Chengdu , Sichuan 610031 , ChinaFollow
QIU Yanjun, School of Civil Engineering , Southwest Jiaotong University ,Chengdu , Sichuan 610031 , China ;Key Laboratory of Highway Engineering of Sichuan Province , Southwest Jiaotong University , Chengdu , Sichuan 610031 , China

Corresponding Author

阳恩慧，男，博士，教授.E-mail：ehyang@home.swjtu.edu.cn

Abstract

To address the problems of hollow recognition results,high noise,and poor crack continuity in pavement crack identification using the Sobel algorithm,this paper proposed a joint algorithm combining the Sobel algorithm and matched filter for three-dimensional crack recognition of asphalt pavement.A matched filter in the form of a sine function was designed,and the matched filter was used to extract crack features from the results of the Sobel algorithm.The matched filter results were subjected to threshold filtering and connected domain analysis to effectively solve the hollow recognition problem,while also reducing noise and improving crack continuity.The test results show that the Sobel + matched filter joint algorithm can achieve 84.72% accuracy,95.32% recall,and 89.44% F-value,and its performance is better than that of the Sobel algorithm and the Sobel + morphological closing joint algorithm.

Publication Date

8-15-2025

DOI

10.14048/j.issn.1671-2579.2025.04.005

First Page

33

Last Page

41

Submission Date

August 2025

Recommended Citation

Yan, WEN; Xiaoqian, GUO; Youzhi, TANG; Enhui, YANG; and Yanjun, QIU (2025) "Research on Crack Identification Technology Based on Sobel + Matched Filter Joint Algorithm," Journal of China & Foreign Highway: Vol. 45: Iss. 4, Article 5.
DOI: 10.14048/j.issn.1671-2579.2025.04.005
Available at: https://zwgl1980.csust.edu.cn/journal/vol45/iss4/5

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