中外公路2025，Vol.45Issue(4)：33-41,9.DOI:10.14048/j.issn.1671-2579.2025.04.005
基于Sobel+匹配滤波联合算法的裂缝识别技术
Research on Crack Identification Technology Based on Sobel+Matched Filter Joint Algorithm
摘要
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.关键词
路面工程/三维裂缝检测/Sobel算法/匹配滤波算法/图像处理Key words
pavement engineering/three-dimensional crack detection/Sobel algorithm/matched filter algorithm/image processing分类
交通工程引用本文复制引用
文燕,郭晓倩,唐由之,阳恩慧,邱延峻..基于Sobel+匹配滤波联合算法的裂缝识别技术[J].中外公路,2025,45(4):33-41,9.基金项目
国家自然科学基金资助项目(编号:52278460,52178438) （编号:52278460,52178438）
四川省科技计划项目(编号:2024NSFSC0016,23NSFSC0015) （编号:2024NSFSC0016,23NSFSC0015）
