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Proceedings Paper

Digital implementation of shunting-inhibitory cellular neural network
Author(s): Tarik Hammadou; Abdesselam Bouzerdoum; Amine Bermak
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Paper Abstract

Shunting inhibition is a model of early visual processing which can provide contrast and edge enhancement, and dynamic range compression. An architecture of digital Shunting Inhibitory Cellular Neural Network for real time image processing is presented. The proposed architecture is intended to be used in a complete vision system for edge detection and image enhancement. The present hardware architecture, is modeled and simulated in VHDL. Simulation results show the functional validity of the proposed architecture.

Paper Details

Date Published: 30 May 2000
PDF: 9 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386692
Show Author Affiliations
Tarik Hammadou, Edith Cowan Univ. (Australia)
Abdesselam Bouzerdoum, Edith Cowan Univ. (Australia)
Amine Bermak, Edith Cowan Univ. (Australia)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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