摘要
裂缝是路面病害最早的形态之一,只有在裂缝出现的早期进行维护,才能有效地提高公路的使用寿命。因此,路面裂缝的检测识别系统对于提升公路质量有着重大的意义。基于此论文完成了基于Matlab的路面裂缝检测系统的设计。首先,对路面裂缝图像进行相应的预处理,目的是减小环境因素的影响,消除无用的噪点。然后提取目标图像特征,判断路面裂缝类型,标记出路面裂缝的位置,通过xls表格保存多次试验所提取的裂缝参数信息[1]。最后通过设计的GUI界面来集成各个关键步骤,显示所得到的试验结果。仿真结果表明,论文设计的路面裂缝检测识别系统是高效可行的。
Road crack is one of the earliest forms of road disease,the service life of the highway can be increased effectively only if the cracks can be maintained early.Therefore,it's great significance to improve highway quality by using the system of detec⁃tion and identification for road crack.Based on this,this paper completes the design of pavement crack detection and identification system based on Matlab.Firstly,the pavement crack image can be preprocessed to reduce the influence of environmental factors and eliminate useless noise.Then,the target image features are extracted,the types of pavement cracks are marked,and the information of crack parameters extracted from multiple tests is saved by xls table.Finally,the key steps are integrated through the designed GUI interface,and the experimental results are displayed.The test results show that the detection and identification system of pave⁃ment crack designed in this paper is efficient and feasible.
作者
韩美林
武立
程峻杰
邵蓉
HAN Meilin;WU Li;CHENG Junjie;SHAO Rong(College of Electronic Information and Electrical Engineering,Shangluo University,Shangluo 726000;Shangluo Sports Center,Shangluo 726000)
出处
《舰船电子工程》
2020年第8期151-154,共4页
Ship Electronic Engineering
基金
陕西省科技厅项目(编号:2019JQ-541)
教育部高等教育司产学合作协同育人项目(编号:201802357015)
陕西省大学生创新创业训练计划项目(编号:S201911396031)
商洛市科技局项目(编号:SK2019-77)
商洛学院校级科研项目(编号:18SKY-FWDF004)资助。
关键词
路面裂缝
特征提取
检测识别
pavement crack
feature extraction
detecting and identifying