沥青路面裂缝图像检测算法研究  

Image detection algorithm research for asphalt pavement crack

作　　者：黎蔚[1] 朱平哲[1] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471003

出　　处：《计算机工程与应用》2012年第19期163-166,219,共5页Computer Engineering and Applications

基　　金：河南省交通运输厅科技项目(No.2009p217)

摘　　要：针对沥青路面裂缝图像边缘提取不精确的问题,基于形态学多尺度的思想,结合沥青路面裂缝图像中裂缝形状不规则,裂缝信息比较弱小的特点,提出了一种沥青路面裂缝图像检测算法。算法构造了多结构元素的抗噪型边缘检测算子,且依据不同形状的结构元素对裂缝边缘填充的几率不同,设定了一种自适应确定权重的算法,使得此算子在平滑滤波的同时又检测到各种类型的边缘。与传统裂缝图像检测算法相比,该算法有效抑制了各种噪声的影响,实现了多种类型边缘的精确提取;理论分析和实验结果表明该算法是可行且有效的。In order to solve the inaccuracy problem of asphalt pavement crack image edge extraction, based on multi-scale morphology, asphalt pavement crack detection algorithm is proposed accoording to characteristics of crack shape irregularity and weak signal. The proposed algorithm employs operators of noise immunity edge detec- tion with multiple structure elements, and according to the variable probability of multiple structure elements fill up edges of crack, an algorithm of adaptive weight is brought forward, it has not only a good ability to smoothing filter, but also a strong ability to extract the multiple image edge. Compared with the traditional edge detection algorithm, the proposed algorithm has restrained noise jamming effectively while detecting the all kinds of asphalt pavement crack accurately, theoretical analysis and experimental results show that the algorithm is efficient and feasible.

关 键 词：数学形态学 多结构元素 边缘检测 自适应权重 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]