Proceedings Paper
Multifeature fusion using pulse-coupled neural networks| Format | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 3719:
Sensor Fusion: Architectures, Algorithms, and Applications III
Belur V. Dasarathy, Editor(s)
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)
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)
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