摘要
提出了一种小波域内基于块的路面破损检测算法.路面图像经过去噪、增强等预处理后,通过hear小波变换,在最高层中对近似分量进行自适应阈值分割得到路面破损的初始区域.在其他各层中,从高层到低层依次只针对路面破损区域进一步分块分割处理,得到路面破损的准确检测.仿真实验表明,提出的算法可以很好地克服噪声影响,对不同的路面破损类型,都具有很好的路面破损分割效果.
We proposed a pavement distress detection algorithm based on tiles in wavelet domain.After the preprocesses of de-noise,enhancing,etc.,pavement image was decomposed by Hear wavelet,and the approximation coefficient in the highest layer was segmented by adaptive threshold to get the initial pavement distress regions.Then in the other ordinal layers,from the higher layer to the lower layer,only the pavement distress regions were segmented tiles to gain the exact detection of pavement distress.Simulation show ...
出处
《郑州大学学报（工学版）》
CAS
北大核心
2009年第3期48-51,共4页
Journal of Zhengzhou University（Engineering Science）
基金
西部交通科技项目(200431881213)
关键词
路面破损检测
小波变换
分块处理
图像分割
pavement distress detection
wavelet transform
tile processing
image segmentation
