Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
865789 | Tsinghua Science & Technology | 2008 | 6 Pages |
Abstract
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 applied to sewer pipeline condition assessment in an offline mode, where this methodology can support professionals' examination of acquired sewer condition imagery.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Wei Guo, Lucio Soibelman, James H Garrett,