Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems

Computational approaches to visual data and information processing can assist asset management procedures. In this paper, we present a computerized visual pattern recognition approach to facilitate inspection and condition assessment of wastewater collection systems in realistic settings. This resea...

Full description

Saved in:
Bibliographic Details
Published in:Journal of computing in civil engineering 2009-05, Vol.23 (3), p.160-169
Main Authors: Guo, W, Soibelman, L, Garrett, J. H
Format: Article
Language:English
Subjects:
SPECIAL SECTION: IT Support for Advanced Infrastructure Systems Part 3 of 3
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Computational approaches to visual data and information processing can assist asset management procedures. In this paper, we present a computerized visual pattern recognition approach to facilitate inspection and condition assessment of wastewater collection systems in realistic settings. This research aims to provide a basis for condition assessment and defect reporting in wastewater infrastructure, enabling automatic detection and recognition of defects and patterns from inspection images or videos. An approach for sensing and automatically detecting critical areas or regions of interest, and further discovering and recognizing objects of interest in large image data sets, is described. The major steps of the approach are illustrated by examples using actual inspection images acquired from wastewater pipelines.
ISSN:0887-3801
1943-5487
DOI:10.1061/(ASCE)0887-3801(2009)23:3(160)