Image understanding algorithms for remote visual inspection of aircraft surfaces

Priyan Gunatilake; Mel Siegel; Angel G. Jordan; Gregg W. Podnar

doi:10.1117/12.271231

15 April 1997 Image understanding algorithms for remote visual inspection of aircraft surfaces

Priyan Gunatilake, Mel Siegel, Angel G. Jordan, Gregg W. Podnar

Proceedings Volume 3029, Machine Vision Applications in Industrial Inspection V; (1997) https://doi.org/10.1117/12.271231
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

Visual inspection is, by far, the most widely used method in aircraft surface inspection. We are currently developing a prototype remote visual inspection system, designed to facilitate testing the hypothesized feasibility and advantages of remote visual inspection of aircraft surfaces. In this paper, we describe several experiments with image understanding algorithms that were developed to aid remote visual inspection, in enhancing and recognizing surface cracks and corrosion from the live imagery of an aircraft surface. Also described in this paper are the supporting mobile robot platform that delivers the live imagery, and the inspection console through which the inspector accesses the imagery for remote inspection. We discuss preliminary results of the image understanding algorithms and speculate on their future use in aircraft surface inspection.

Citation Download Citation

Priyan Gunatilake, Mel Siegel, Angel G. Jordan, and Gregg W. Podnar "Image understanding algorithms for remote visual inspection of aircraft surfaces", Proc. SPIE 3029, Machine Vision Applications in Industrial Inspection V, (15 April 1997); https://doi.org/10.1117/12.271231

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