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Proceedings Paper

Robust target recognition based on fractal analysis
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Paper Abstract

Fractal image processing technology has been recognized as having great potential in automatic target recognition (ATR) and image compression. In this paper, Physical Optics Corporation demonstrates the feasibility of using a fractal image processing technique as a new and efficient approach for signature, pattern, and object recognition. Using optical Fourier transform and a ring-wedge detection technique, we generate and measure the power spectral density of an input scene. The log-log plot of the power spectral density vs. spatial frequency provides a very valuable signature for each input. Experimental results show that we can successfully discriminate man-made objects from natural objects in input scenes by analyzing signatures obtained this way.

Paper Details

Date Published: 24 October 1997
PDF: 6 pages
Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); doi: 10.1117/12.292738
Show Author Affiliations
Judy Chen, Physical Optics Corp. (United States)
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Dai Hyun Kim, Physical Optics Corp. (United States)
Gajendra D. Savant, Physical Optics Corp. (United States)
Jeongdal Kim, Physical Optics Corp. (United States)
Anatoly A. Vasiliev, Physical Optics Corp. (United States)

Published in SPIE Proceedings Vol. 3159:
Algorithms, Devices, and Systems for Optical Information Processing
Bahram Javidi; Demetri Psaltis, Editor(s)

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