An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection
Joint Authors
Burn, Stewart
Marlow, David
Mashford, John
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-12-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Condition assessment forms an important part of the asset management of buried pipelines.
This is carried out through the use of inspection systems which usually consist of an image acquisition device attached to a mobile robotic platform.
Complete or partial automation of image interpretation could increase the efficiency and objectivity of pipe inspection.
A key component of an automatic pipe inspection system is the segmentation module.
This paper describes an approach to automatic pipe inspection using pixel-based segmentation of colour images by support vector machine (SVM) coupled with morphological analysis of the principal component of the segmented image.
The morphological analysis allows the principal component of the segmented image to be decomposed into the pipe flow lines region, the pipe joints, and adjoining defects.
A simple approach to detecting pipe connections using fuzzy membership functions relating to defect size and location is also described.
American Psychological Association (APA)
Mashford, John& Marlow, David& Burn, Stewart. 2009. An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection. Advances in Civil Engineering،Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-462968
Modern Language Association (MLA)
Mashford, John…[et al.]. An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection. Advances in Civil Engineering No. 2009 (2009), pp.1-11.
https://search.emarefa.net/detail/BIM-462968
American Medical Association (AMA)
Mashford, John& Marlow, David& Burn, Stewart. An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection. Advances in Civil Engineering. 2009. Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-462968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462968