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Proceedings Paper

Image enhancement and understanding for remote visual inspection of aircraft surface
Author(s): Priyan Gunatilake; Mel Siegel; Angel G. Jordan; Gregg W. Podnar
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Paper Abstract

We describe a library of image enhancement and understanding algorithms developed to enhance and recognize surface defects from remote live imagery of an aircraft surface. Also described are the supporting mobile robot platform that generates the remote stereoscopic imagery and the inspection console containing a graphical user interface, through which the inspector accesses the live imagery for remote inspection. We will discuss initial results of the remote imaging process and the image processing library, and speculate on their future application in aircraft inspection.

Paper Details

Date Published: 14 November 1996
PDF: 12 pages
Proc. SPIE 2945, Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware, (14 November 1996); doi: 10.1117/12.259117
Show Author Affiliations
Priyan Gunatilake, Carnegie Mellon Univ. (United States)
Mel Siegel, Carnegie Mellon Univ. (United States)
Angel G. Jordan, Carnegie Mellon Univ. (United States)
Gregg W. Podnar, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 2945:
Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware
Raymond D. Rempt; Alfred L. Broz, Editor(s)

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