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Proceedings Paper

Fractal dimension estimation for optical image segmentation
Author(s): Harold Gregory Andrews; Mark A. Getbehead; Samuel Peter Kozaitis
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Paper Abstract

This research investigated the use of fractal dimension measure to segment regions of interest from simulated terrain imagery. The underlying assumption is: a given region of interest in a real-world image has a different fractal dimension than its surrounding terrain. Virtually illuminated, digitally simulated fractal surfaces with known fractal dimensions were investigated. The terrain types that were considered varied from bumpy to flat surfaces. An optically based image segmentation system was constructed to perform the otherwise computationally intensive Fourier transform of the image to be segmented.

Paper Details

Date Published: 9 November 1993
PDF: 10 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163586
Show Author Affiliations
Harold Gregory Andrews, Rome Lab. (United States)
Mark A. Getbehead, Rome Lab. (United States)
Samuel Peter Kozaitis, Florida Institute of Technology (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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