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Proceedings Paper

Optical fractal image processor for noise-embedded targets detection
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Paper Abstract

A new fractal dimensionality measurement and analysis-based automatic target recognition (ATR) is presented. ATR is a multi-step procedure, such as preprocessing, interest locating, segmenting, feature extracting, and classifying. Physical Optics Corporation has developed a new ATR system, based on fractal image processing, which can perform interest locating, segmenting and feature extraction simultaneously. Experimental results of the proof-of- principle is also presented.

Paper Details

Date Published: 9 November 1993
PDF: 6 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163567
Show Author Affiliations
Dai Hyun Kim, Physical Optics Corp. (United States)
H. John Caulfield, Alabama A&M Univ. (United States)
Tomasz P. Jannson, Physical Optics Corp. (United States)
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Gajendra D. Savant, Physical Optics Corp. (United States)

Published in SPIE Proceedings Vol. 2026:
Photonics for Processors, Neural Networks, and Memories
Stephen T. Kowel; William J. Miceli; Joseph L. Horner; Bahram Javidi; Stephen T. Kowel; William J. Miceli, Editor(s)

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