Image Enhancement and Understanding for Remote Visual Inspection of Aircraft Surface
Conference Paper, Proceedings of SPIE Nondestructive Evaluation Techniques for Aging Infrastructure and Manufacturing: Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware, Vol. 2945, pp. 416 - 427, December, 1996
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.
BibTeX
@conference{Gunatilake-1996-14259,author = {Priyan Gunatilake and Mel Siegel and Angel Jordan and Gregg Podnar},
title = {Image Enhancement and Understanding for Remote Visual Inspection of Aircraft Surface},
booktitle = {Proceedings of SPIE Nondestructive Evaluation Techniques for Aging Infrastructure and Manufacturing: Nondestructive Evaluation of Aging Aircraft, Airports, and Aerospace Hardware},
year = {1996},
month = {December},
volume = {2945},
pages = {416 - 427},
}
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