基于金字塔结构的海量路面影像破损统计模型

¹武汉大学遥感信息工程学院,武汉市珞喻路129号430079;²武汉大学交通研究中心,武汉市珞喻路129号,430079;³武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079

基金项目: 国家自然科学基金资助项目(40721001)

详细信息

A Pyramid-based Cracks Statistical Modal for Massive Pavement Images

¹School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China;²Transportation Research Center,Wuhan University,129 Luoyu Road,Wuhan 430079,China;³State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(40721001)

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。
- 金字塔结构 /
- 路面裂缝 /
- 破损检测 /
- 海量数据
Abstract: 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.
- pyramid data structure /
- pavement cracks /
- cracks detection /
- massive data