Proceedings Paper
Detection and segmentation of pipeline inspection features for diagnostically lossless data compression| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper we discuss the characteristics of pipeline features, e.g. welds, cracks and erosion objects, and present a method for the diagnostically lossless compression of Transverse Field Inspection data, a new type of pipeline inspection data in contrast to the traditional Magnetic Flux Leakage inspection data.
Paper Details
Date Published: 4 April 2001
PDF: 9 pages
Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); doi: 10.1117/12.420898
Published in SPIE Proceedings Vol. 4301:
Machine Vision Applications in Industrial Inspection IX
Martin A. Hunt, Editor(s)
PDF: 9 pages
Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); doi: 10.1117/12.420898
Show Author Affiliations
Wei-Ching Tham, Univ. of Birmingham (United Kingdom)
Sandra Isobel Woolley, Univ. of Birmingham (United Kingdom)
Sandra Isobel Woolley, Univ. of Birmingham (United Kingdom)
Don Anderson, Pipeline Integrity International Group Ltd. (United Kingdom)
Published in SPIE Proceedings Vol. 4301:
Machine Vision Applications in Industrial Inspection IX
Martin A. Hunt, Editor(s)
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