Paper
4 April 2001 Detection and segmentation of pipeline inspection features for diagnostically lossless data compression
Wei-Ching Tham, Sandra Isobel Woolley, Don Anderson
Author Affiliations +
Proceedings Volume 4301, Machine Vision Applications in Industrial Inspection IX; (2001) https://doi.org/10.1117/12.420898
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei-Ching Tham, Sandra Isobel Woolley, and Don Anderson "Detection and segmentation of pipeline inspection features for diagnostically lossless data compression", Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); https://doi.org/10.1117/12.420898
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Inspection

Image segmentation

Image compression

Wavelet transforms

Wavelets

Data compression

Magnetism

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