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Proceedings Paper

Optical Filtering for Machine Vision Applications
Author(s): Steven L. Cartwright; Jeffrey G. Kenkel
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Paper Abstract

Even with incoherent (ambient light) imaging some optical processing can be performed to filter an image for machine vision applications. Apertures with useful transfer functions which are still light efficient can be formed from pseudonoise sequences. These pseudonoise apertures can be implemented on spatial light modulators to make adaptive imaging systems.

Paper Details

Date Published: 22 January 1987
PDF: 6 pages
Proc. SPIE 0728, Optics, Illumination, and Image Sensing for Machine Vision, (22 January 1987); doi: 10.1117/12.937848
Show Author Affiliations
Steven L. Cartwright, University of Dayton Research Institute (United States)
Jeffrey G. Kenkel, University of Dayton Research Institute (United States)


Published in SPIE Proceedings Vol. 0728:
Optics, Illumination, and Image Sensing for Machine Vision
Donald J. Svetkoff, Editor(s)

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