Paper
14 November 1996 Image enhancement and understanding for remote visual inspection of aircraft surface
Priyan Gunatilake, Mel Siegel, Angel G. Jordan, Gregg W. Podnar
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Priyan Gunatilake, Mel Siegel, Angel G. Jordan, and Gregg W. Podnar "Image enhancement and understanding for remote visual inspection of aircraft surface", Proc. SPIE 2945, Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware, (14 November 1996); https://doi.org/10.1117/12.259117
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Inspection

Image enhancement

Algorithm development

Optical inspection

Image processing

Cameras

Detection and tracking algorithms

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