An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection
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...
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| Format: | Article |
| Language: | English |
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Wiley
2009-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2009/317097 |
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| _version_ | 1832559011544694784 |
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| author | John Mashford David Marlow Stewart Burn |
| author_facet | John Mashford David Marlow Stewart Burn |
| author_sort | John Mashford |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8339ecf0ff894583b52b0ac29f0d4f6d |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-8339ecf0ff894583b52b0ac29f0d4f6d2025-02-03T01:31:03ZengWileyAdvances in Civil Engineering1687-80861687-80942009-01-01200910.1155/2009/317097317097An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe InspectionJohn Mashford0David Marlow1Stewart Burn2Division of Land and Water, Commonwealth Scientific and Industrial Research Organisation, P.O. Box 56, Highett, VIC 3190, AustraliaDivision of Land and Water, Commonwealth Scientific and Industrial Research Organisation, P.O. Box 56, Highett, VIC 3190, AustraliaDivision of Land and Water, Commonwealth Scientific and Industrial Research Organisation, P.O. Box 56, Highett, VIC 3190, AustraliaCondition 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.http://dx.doi.org/10.1155/2009/317097 |
| spellingShingle | John Mashford David Marlow Stewart Burn An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection Advances in Civil Engineering |
| title | An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection |
| title_full | An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection |
| title_fullStr | An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection |
| title_full_unstemmed | An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection |
| title_short | An Approach to Pipe Image Interpretation Based Condition Assessment for Automatic Pipe Inspection |
| title_sort | approach to pipe image interpretation based condition assessment for automatic pipe inspection |
| url | http://dx.doi.org/10.1155/2009/317097 |
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