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Proceedings Paper

Pulse image processing using centripetal autowaves
Author(s): Jason M. Kinser; Chau Nguyen
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Paper Abstract

The mammalian visual cortex has presented unique visual processing algorithms,. The system rely on spiking neural networks that are coupled leaky-integrators. It has been proposed that the visual system converts 2D images into 1D signatures. So far, efforts to create digital algorithms have been thwarted by interference amongst objects in the input space. Here the marriage of curvature flow with pulse image processing creates a new system in which the expanding autowaves of individual objects in an input scene do not interfere. Thus, it becomes possible to identify multiple objects in a scene solely through the 1D signature.

Paper Details

Date Published: 4 August 2000
PDF: 7 pages
Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); doi: 10.1117/12.395077
Show Author Affiliations
Jason M. Kinser, George Mason Univ. (United States)
Chau Nguyen, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 4052:
Signal Processing, Sensor Fusion, and Target Recognition IX
Ivan Kadar, Editor(s)

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