Optical fractal image processor for noise-embedded targets detection

Dai Hyun Kim; H. John Caulfield; Tomasz P. Jannson; Andrew A. Kostrzewski; Gajendra D. Savant

doi:10.1117/12.163567

9 November 1993 Optical fractal image processor for noise-embedded targets detection

Dai Hyun Kim, H. John Caulfield, Tomasz P. Jannson, Andrew A. Kostrzewski, Gajendra D. Savant

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163567
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Dai Hyun Kim, H. John Caulfield, Tomasz P. Jannson, Andrew A. Kostrzewski, and Gajendra D. Savant "Optical fractal image processor for noise-embedded targets detection", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163567

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