基于Hessian矩阵的线形结构搜索路面裂缝提取方法  

Pavement Crack Extraction Based on Hessian Matrix and Linear Structure

作　　者：朱春省 蔡倩[1] 徐贵力[1] 李振华 王正兵 

机构地区：[1]南京航空航天大学自动化学院,江苏南京211106

出　　处：《计算机与现代化》2017年第9期61-66,共6页Computer and Modernization

基　　金：国家自然科学基金资助项目(61473148)

摘　　要：针对目前三维路面裂缝提取方法效果不佳的问题,提出一种基于Hessian矩阵的线形结构搜索路面裂缝提取方法。首先针对路面深度图像对比度弱、多干扰等问题,根据裂缝的几何特性和灰度特征,给出基于分段函数的路面深度图像预处理方法;然后针对基于Hessian矩阵的多尺度路面裂缝粗提取方法,存在的裂缝提取不连续和对噪声敏感的问题,根据裂缝局部方向的一致性和噪声的离散性特点,给出基于线形结构约束的路面裂缝精提取方法。实验结果对比表明,本文方法适应于不同尺度和程度的路面裂缝提取,较文献[5]的方法完整度提高了10%以上,正确率提高了2%以上,而耗时几乎相同;较文献[15]的方法完整度提高了6%以上,正确率提高了1%以上,但耗时约为该方法的1/3。At present,the result of the 3D pavement crack detection method is bad. This paper proposes a new pavement crack extraction method based on Hessian matrix and linear structure. Firstly,in order to solve the problem of weak contrast and multi interference of pavement depth image,according to the characteristics of edge and gray level of crack,a new algorithm based on piecewise function is proposed. Then,in view of the issue of discontinuous crack and sensitivity to noise of multi scale rough extraction algorithm based on Hessian matrix,according to the consistency of the local direction of crack and the discreteness of noise,a new algorithm based on linear structure constraint is proposed. The experimental results show that the method is suitable for pavement cracks with different scales and degrees,compared with the method of document[5] and document[15 ],the extraction integrity is improved by more than 10% and more than 6% respectively,the extraction correct rate is increased by more than 2% and more than 1% respectively,but the time is almost the same as the first and is about one third of the second.

关 键 词：深度图像 分段函数 裂缝提取 线形结构 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]