No abstract

With the continuous development of the social economy, road traffic plays an increasingly significant role in the national economy and people's lives. Traffic has become one of the important infrastructures for people's daily travel and economic construction in my country, and it is the key to reflecting the economic development of a region. During the long-term operation of expressways, various types of diseases will occur. In order to solve the problem that traditional pavement crack detection, a pavement crack detection method based on image processing under complex background is proposed. A pavement crack image segmentation model based on semantic segmentation is built, and cracks in highresolution crack images are extracted by using the pavement image segmentation model. The results show that, compared with the existing algorithms, the pro-posed algorithm has a better detection effect and stronger generalization ability in complex road scenes.