基于几何特征分析的路面裂缝分类算法研究  

Pavement cracks classification algorithm based on geometry feature analysis

作　　者：张采芳 田岩[2] 李江[2] 

机构地区：[1]文华学院,湖北武汉430074 [2]华中科技大学电子与信息工程系,湖北武汉430074

出　　处：《红外与激光工程》2015年第4期1359-1364,共6页Infrared and Laser Engineering

基　　金：湖北省高等学校优秀中青年科技创新团队计划(T201431);地理空间信息工程国家测绘地理信息局重点实验室开放研究基金(201110)

摘　　要：道路裂缝是评价公路质量的一个非常重要的指标,不同的裂缝类型关系到不同的危急程度及不同的修补策略的制定。针对高速公路中常见的横向裂缝、纵向裂缝、块状裂缝及龟裂裂缝,提出了一种基于方向及密度特征的路面裂缝分类方法。文中所提方法的主要思想是利用裂缝在方向以及密度分布上的差异性来对裂缝类型进行划分。基本的过程是首先利用方向性特征进行横纵裂缝与块状/龟裂裂缝的提取,其次,根据分布密度特性进一步甄别块状和龟裂裂缝。为了验证文中所提算法的有效性,采用大量实测数据进行测试,通过与其它算法进行对比,结果表明:文中所提方法具有更高的裂缝分类精度。The cracks of the road is a very important index to assess the quality of a road, since the different classes of the cracks are closely related to evaluate the dangerous degree of the road and the design of the repair strategy. Focusing on the common cracks including horizontal, vertical, block shape and chap cracks, a cracks classification method based on orientation and density characters was described.The main idea of the proposed method was to adopt the differences of the orientation and density distribution of the cracks to distinguish the different cracks. The orientation feature was first utilized to classify the direction cracks and non-direction cracks, and then by using the density feature to distinguish the block and the chap cracks. In order to check the effectiveness of the proposed method in this paper,using a large number of practical test data, by comparing with other algorithms, the results show that this proposed method has higher classification accuracy.

关 键 词：裂缝分类 几何特征 路面图像 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]