Paper
5 September 1989 Obscured Object Recognition For An ATR Application
G. Eichmann, M. Jankowski, S. Basu, M. Stojancic, L. Roytman
Author Affiliations +
Abstract
A common and mainly unsolved problem in image processing is occlusion. Occlusion occurs when one or more objects obstruct the sensor's view. In this paper, three methods; a neural network, a superresolving non-parametric predictor and an Extended-Post Context-free Grammar syntactic pattern recognizer are used to generate the missing data. To illustrate these methods, their application to the reconstruction of obscured Roman characters are presented.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Eichmann, M. Jankowski, S. Basu, M. Stojancic, and L. Roytman "Obscured Object Recognition For An ATR Application", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960454
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KEYWORDS
Neural networks

Electrocardiography

Automatic target recognition

Image compression

Image processing

Plutonium

Distortion

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