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Proceedings Paper

Leakage detection system using image processing
Author(s): Masao Takatoo; Chieko Onuma; Masayuki Fukai
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Paper Abstract

We have developed a prototype system for leakage detection using image processing. The system detects oil, water, or vapor leaks from plant components at power plants. Its features are summarized as follows: (1) By setting the first sampled image of the scene as the reference image and storing another type of reference image as a form of an x-projection, leakage detection for oil or water, even in a steady flow, was realized; (2) Mis-detection of oil or water leaks, due to effects from vibrations of plant components and cameras could be eliminated by using non-vibrating monitoring regions; and (3) Leakage detection for oil or water required at least 200 (1X) brightness at the measured objects and a 550 X 418 (mm) vision range, while vapor leakage detection could be done in a 5000 X 3800 (mm) vision range.

Paper Details

Date Published: 1 March 1992
PDF: 12 pages
Proc. SPIE 1615, Machine Vision Architectures, Integration, and Applications, (1 March 1992); doi: 10.1117/12.58808
Show Author Affiliations
Masao Takatoo, Hitachi Research Lab. (Japan)
Chieko Onuma, Hitachi Research Lab. (Japan)
Masayuki Fukai, Hitachi Works (Japan)

Published in SPIE Proceedings Vol. 1615:
Machine Vision Architectures, Integration, and Applications
Bruce G. Batchelor; Michael J. W. Chen; Frederick M. Waltz, Editor(s)

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