<title>Image enhancement and understanding for remote visual inspection of aircraft surface</title>

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.