基于图像处理的路面裂缝检测系统设计与研究

Design and Research of Pavement Crack Detection System Based on Image Processing

随着经济的快速发展,我国的公路建设也大规模发展起来。公路在使用中,长期受车辆承载、雨水风雪与季节等影响,路面会出现各种破损,从而影响车辆的行驶安全。如果在早期对路面进行检测并及时进行修补处理,就会为路面的养护工作节省大量的人力物力财力。目前我国的道路检测工作,是以人工检测为主要方式,这种传统的检测方式耗时、耗人力、效率低,同时检测人员的安全也无法得到保障。基于此,设计了一种基于Matlab的图像裂缝检测系统,包含对路面图像定位、灰度化、区域增强、区域去噪、区域重构、裂缝提取、裂缝信息特征提取及分类等处理过程,并通过GUI搭建友好界面,为工作人员提供更为直观的信息。

With the rapid development of economy, highway construction in our country has also developed very quickly. After the completion of the highway, due to the long-term use of vehicles, rain, snow and other weather factors, the road surface will be damaged, affecting the safety of vehicles. If the pavement is inspected in the early stage and repaired in time, a lot of manpower, materials and financial resources for its maintenance will be saved. At present, the main method of road detection in our country is manual detection, which is time-consuming, labor- consuming and inefficient. Meanwhile the safety of inspectors can not be guaranteed, which will affect the normal operation of traffic.This paper designs an image crack detection system based on Matlab, including road image positioning, road image preprocessing, road image graying, road image area enhancement, area denoising, area reconstruction,segmentation, feature extraction and classification. Building a friendly interface through GUI provides more intuitive information for staff.