Imagery Enhancement and Interpretation for Remote Visual Inspection of Aging Civil Infrastructure

Imagery Enhancement and Interpretation for Remote Visual Inspection of Aging Civil

Infrastructure

Wei Guo;Lucio Soibelman;James H Garrett

【期刊名称】《清华大学学报（英文版）》 【年(卷),期】2008(013)0z1

【摘要】In this paper, we describe an image enhancement and interpretation methodology to enhance and recognize surface defects and critical patterns from remote imagery of sewer pipeline inspection.The objective is to provide inspectors and professionals with better tools to allow them to examine the imagery for condition assessment. We present initial results of a collaboration with a robotic company through a case study on computer-assisted processing and interpretation of sewer pipeline inspection imagery. In the mean time, the described enhancement and interpretation methodology can also be ap-plied to sewer pipeline condition assessment in an offline mode, where this methodology can support professionals' examination of acquired sewer condition imagery. 【总页数】6页(375-380)

【关键词】remote visual inspection;infrastructure assessment;image processing and analysis;defects;region of interest;detection;classification 【作者】Wei Guo;Lucio Soibelman;James H Garrett