摘要
提出了基于金字塔结构的用于快速路面影像破损统计的模型,通过对经分割处理后的影像进行金字塔加权破损统计以筛选出破损路面影像,最终达到提高检测效率的目的。利用该模型对具有不同路面纹理结构的路段进行多次实验表明,该模型能高效准确地从海量影像中筛选出破损路面影像。
This paper proposed a pyramid-based cracks statistical method for pavement images on the basis of the consistence of pavement texture structure.After the enhancement process,it executed image segmentation based on multi-scale space algorithm,then the weighted pyramid-based cracks statistical was implemented on each segmented image,in the end picked up the cracked pavement images and achieved the objective of improving detection efficiency.Several experiments were executed aim at road sections with different pavement texture structure with this model,and the results demonstrated that it can pick up the cracked ones from massive pavement images correctly and effectively.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2008年第4期430-432,436,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40721001)
关键词
金字塔结构
路面裂缝
破损检测
海量数据
pyramid data structure
pavement cracks
cracks detection
massive data
