Share Email Print
cover

Proceedings Paper

Multifeature fusion using pulse-coupled neural networks
Author(s): Ramarao Inguva; John L. Johnson; Marius P. Schamschula
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We propose an unbiased multifeature fusion Pulse Coupled Neural Network (PCNN) algorithm. The method shares linking between several PCNNs running in parallel. We illustrate the PCNN fusion technique with a clean and noisy three-band color image example.

Paper Details

Date Published: 12 March 1999
PDF: 9 pages
Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); doi: 10.1117/12.341357
Show Author Affiliations
Ramarao Inguva, East West Enterprises Inc. (United States)
John L. Johnson, U.S. Army Space and Missile Defense Command (Germany)
Marius P. Schamschula, Alabama A&M Univ. (United States)


Published in SPIE Proceedings Vol. 3719:
Sensor Fusion: Architectures, Algorithms, and Applications III
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top