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Proceedings Paper

Object isolation using a pulse-coupled neural network
Author(s): Jason M. Kinser
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Paper Abstract

Object isolation in an image is an iterative process in which the target gradually fade. The intent of this design is to be more robust to noise, object alterations, and clutter than traditional filters. This iterative process can be performed by a non-linear shunting pulse-coupled neural network (PCNN). The input scene is modified by the filtered pulse response of the PCNN. Within several iterations the target is enhanced and the non-targets are degraded to such a degree that the target is completely dominant in the input. The segmented pulse response of the PCNN allows for a unique approach to this system.

Paper Details

Date Published: 11 November 1996
PDF: 7 pages
Proc. SPIE 2824, Adaptive Computing: Mathematical and Physical Methods for Complex Environments, (11 November 1996); doi: 10.1117/12.258119
Show Author Affiliations
Jason M. Kinser, Alabama A&M Univ. (United States)


Published in SPIE Proceedings Vol. 2824:
Adaptive Computing: Mathematical and Physical Methods for Complex Environments
H. John Caulfield; Su-Shing Chen, Editor(s)

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