基于方向特征及引力模型的路面裂缝检测

针对全局性路面裂缝检测方法的局限,提出了一种基于方向特征及引力模型的路面裂缝检测方法.算法首先根据裂缝的延伸性及局部过渡性,搜索裂缝端点,并设计了反映裂缝线型特征的方向因子及方向导数区分度判据,使裂缝判别局限在裂缝端点延伸方向的局部邻域内,有效地阻止了非裂缝区域冗余信息的引入.进一步根据人类判别裂缝的视觉特性,借鉴物理学原理建立了裂缝引力模型,增强了噪斑存在时裂缝连接的鲁棒性.结合颜色距离,设计了裂缝延伸与连接的多判据判别函数,实现对裂缝像素区域的判别检测.实验结果表明所提方法的准确性.

Pavement Crack Detection Based on Direction Feature and Gravitational Model

A pavement crack detection algorithm was proposed on the basis of directional features and gravitational model to overcome the shortcomings of the existing global methods.According to the extension and local transition of cracks,the endpoints of cracks were firstly searched.The direction factors and directional derivative discrimination criterion were designed,which reflect the linear features of cracks.Crack discrimination was localized in the possible neighborhood to prevent effectively the introduction of redundant information.Based on the human vision characteristics and physics theory,a crack gravitational model was designed to improve the robustness of crack connection under the noise environment.By combining color distance,a multiple criteria discriminant function of crack extension and connection was designed to detect crack pixel area.The experimental results indicated the validity of the proposed method.