Fractal dimension estimation for optical image segmentation

Harold Gregory Andrews II; Mark A. Getbehead; Samuel Peter Kozaitis

doi:10.1117/12.163586

9 November 1993 Fractal dimension estimation for optical image segmentation

Harold Gregory Andrews II, Mark A. Getbehead, Samuel Peter Kozaitis

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163586
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Harold Gregory Andrews II, Mark A. Getbehead, and Samuel Peter Kozaitis "Fractal dimension estimation for optical image segmentation", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163586

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