路面裂缝自动识别与测量  

Automatic road crack identification and its measurement

作　　者：曹建农[1] 许素素 李长青[2] 

机构地区：[1]长安大学地球科学与资源学院,陕西西安710054 [2]焦作大学数学系,河南焦作454003

出　　处：《长安大学学报（自然科学版）》2014年第3期17-22,共6页Journal of Chang’an University(Natural Science Edition)

基　　金：国家自然科学基金项目(40971217);地理信息工程国家重点实验室开发基金项目(SKLGIE2013-M-3-2)

摘　　要：为了提高道路裂缝损伤检测效率,保证检测工作的安全性,加强检测数据的标准化建设,研究了路面裂缝自动识别与测量方法。通过分析既有方法的缺陷,提出采用均值漂移技术的图像平滑与分割方法,初步分割候选裂缝,采用定向跟踪方法提取裂缝骨架;基于裂缝骨架内插得到完整裂缝,完成裂缝自动提取与编码;最后将裂缝骨架分段,精确计算裂缝形态参数,实现裂缝形态完整测量。研究结果表明:该方法对路面粗糙度和裂缝方向不敏感,可以识别较细小裂缝,裂缝识别的定位精度达到0.5个像素以下,裂缝长度的相对误差小于2%,具有较高精度和可靠性。The methods of automatic road crack identification and its measurement were studied for improving the efficiency of road crack detection,ensuring the security of the detection work,and strengthening the standardization of detection data.Through analyzing the defects of existing methods,the image smoothing and segmentation method with mean shift technique were proposed to make a preliminary segmentation of candidate cracks;a directional tracking method was used to extract the crack skeleton;using the crack skeleton to interpolate the full cracks,automatic crack extraction and encoding were achieved;finally,the crack skeleton segments were used to accurately calculate the parameters of crack characterization.All those could guarantee a complete description of crack characterization.The results show that the proposed method,which possesses a higher precision and reliability,is insensitive to the roughness of pavement and the directions of cracks,and is able to detect small cracks,whose accuracy reaches less than 0.5pixels with relative error of length less than 2%.

关 键 词：道路工程 路面裂缝自动识别 图像测量 均值漂移 图像分割 

分 类 号：U412.3[交通运输工程—道路与铁道工程]