路面裂缝自动识别与测量

Automatic road crack identification and its measurement

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%.