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Proceedings Paper

Optical image segmentation using wavelet correlation
Author(s): Steven D. Pinski; Steven K. Rogers; Dennis W. Ruck; Byron M. Welsh; Matthew Kabrisky; Gregory T. Warhola; Dennis W. Quinn; Mark E. Oxley
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Paper Abstract

This research introduces an optical method of segmenting potential targets using wavelet analysis. An optical Harr wavelet is created using a magneto-optic spatial light modulator (MOSLM). Two methods of controlling wavelet dilation are explored: (1) an aperture positioned in front of a binary modulated MOSLM; (2) spatial filtering of a ternary modulated MOSLM. Segmentation is performed through Vander Lugt correlation of a binarized image with the optical wavelet. Frequency-plane masks for the correlation process are generated using thermal holography.

Paper Details

Date Published: 1 March 1992
PDF: 10 pages
Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135107
Show Author Affiliations
Steven D. Pinski, Air Force Institute of Technology (United States)
Steven K. Rogers, Air Force Institute of Technology (United States)
Dennis W. Ruck, Air Force Institute of Technology (United States)
Byron M. Welsh, Air Force Institute of Technology (United States)
Matthew Kabrisky, Air Force Institute of Technology (United States)
Gregory T. Warhola, Air Force Institute of Technology (United States)
Dennis W. Quinn, Air Force Institute of Technology (United States)
Mark E. Oxley, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1608:
Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods
David P. Casasent, Editor(s)

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