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Proceedings Paper

Detection and segmentation of pipeline inspection features for diagnostically lossless data compression
Author(s): Wei-Ching Tham; Sandra Isobel Woolley; Don Anderson
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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
Show Author Affiliations
Wei-Ching Tham, 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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