城市道路沥青路面水稳基层裂缝检测方法研究
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摘要
道路裂缝是缩短道路寿命的主要病因之一,因此需要对道路进行裂缝检测,以防范道路裂缝的出现影响道路的使用寿命。传统的道路裂缝检测方法存在检测不精确、裂缝漏检等问题,现针对城市道路沥青路面水稳基层裂缝,提出基于图像处理技术的检测方法。该方法将多功能移动车采集到的道路图像,运用强度归一化和像素饱和化对其进行图像预处理;运用多尺度策略的道路基层裂缝检测模型,将图像划分成3个等级以消除噪声影响;最终利用邻域差分直方图方法对图像进行裂缝特征分割,得出含有裂缝的图像区域,达到道路基层裂缝检测的目的。仿真实验证明,该方法能够消除环境因素对图像的影响,且具有较高检测精度和检测完整性。
Road cracks are one of the main causes of shortening road life. Therefore,it is necessary to conduct crack detection on roads to prevent road cracks from affecting the service life of roads. Traditional road crack detection methods have problems such as inaccurate detection and crack detection. Now,based on the water-stable base crack of urban road asphalt pavement,a detection method based on image processing technology is proposed. The method uses the intensity normalization and pixel saturation to image the road image collected by the multi-function mobile vehicle. The road base layer crack detection model is multi-scaled to divide the image into three levels to eliminate noise. The effect is finally obtained by using the neighborhood difference histogram method to segment the crack features of the image,and the image region containing the crack is obtained to achieve the purpose of crack detection in the road base layer. Simulation experiments show that the method can eliminate the influence of environmental factors on the image,and has high detection accuracy and detection integrity.
Road cracks are one of the main causes of shortening road life. Therefore,it is necessary to conduct crack detection on roads to prevent road cracks from affecting the service life of roads. Traditional road crack detection methods have problems such as inaccurate detection and crack detection. Now,based on the water-stable base crack of urban road asphalt pavement,a detection method based on image processing technology is proposed. The method uses the intensity normalization and pixel saturation to image the road image collected by the multi-function mobile vehicle. The road base layer crack detection model is multi-scaled to divide the image into three levels to eliminate noise. The effect is finally obtained by using the neighborhood difference histogram method to segment the crack features of the image,and the image region containing the crack is obtained to achieve the purpose of crack detection in the road base layer. Simulation experiments show that the method can eliminate the influence of environmental factors on the image,and has high detection accuracy and detection integrity.
引文
[1]王世芳,车艳丽,李楠,等.一种基于多尺度脊边缘的沥青路面裂缝检测算法[J].中国公路学报,2017,30(4):32-41.
[2]江超,查剑锋,黄帅.公路采动区裂缝快速获取及精度分析[J].测绘科学,2017,42(6):166-170.
[3]卢紫微,张燕,常东超,等.基于多特征分析的路面裂缝检测算法[J].控制工程,2018,25(4):591-595.
[4]徐亚明,束进芳.基于张量投票和目标追踪的墙体裂缝检测算法研究[J].大地测量与地球动力学,2016,36(4):334-337.
[5]乔建刚,刘盼.基于聚酯玻纤布的层间黏结力学性能研究[J].科学技术与工程,2016,16(6):217-221.
[6]张德津,李清泉,陈颖,等.基于空间聚集特征的沥青路面裂缝检测方法[J].自动化学报,2016,42(3):443-454.
[7]洪晓江.基于分数阶偏微分的路面裂缝图像增强新模型[J].公路交通科技,2016,33(12):83-87.
[8]裴建新.基于光纤光栅传感技术的道路裂缝扩展监测[J].筑路机械与施工机械化,2016,33(3):107-110.
[9]李帅,侯德华,高杰,等.基于数学形态学的路面裂缝图像处理技术[J].公路工程,2018,43(2):273-277.
[10]杨会玲,崔洪恩,孙慧婷,等.多尺度矩阵滤波的路面裂缝检测方法研究[J].液晶与显示,2016,31(8):778-783.
[2]江超,查剑锋,黄帅.公路采动区裂缝快速获取及精度分析[J].测绘科学,2017,42(6):166-170.
[3]卢紫微,张燕,常东超,等.基于多特征分析的路面裂缝检测算法[J].控制工程,2018,25(4):591-595.
[4]徐亚明,束进芳.基于张量投票和目标追踪的墙体裂缝检测算法研究[J].大地测量与地球动力学,2016,36(4):334-337.
[5]乔建刚,刘盼.基于聚酯玻纤布的层间黏结力学性能研究[J].科学技术与工程,2016,16(6):217-221.
[6]张德津,李清泉,陈颖,等.基于空间聚集特征的沥青路面裂缝检测方法[J].自动化学报,2016,42(3):443-454.
[7]洪晓江.基于分数阶偏微分的路面裂缝图像增强新模型[J].公路交通科技,2016,33(12):83-87.
[8]裴建新.基于光纤光栅传感技术的道路裂缝扩展监测[J].筑路机械与施工机械化,2016,33(3):107-110.
[9]李帅,侯德华,高杰,等.基于数学形态学的路面裂缝图像处理技术[J].公路工程,2018,43(2):273-277.
[10]杨会玲,崔洪恩,孙慧婷,等.多尺度矩阵滤波的路面裂缝检测方法研究[J].液晶与显示,2016,31(8):778-783.
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