Digital implementation of shunting-inhibitory cellular neural network

Tarik Hammadou; Abdesselam Bouzerdoum; Amine Bermak

doi:10.1117/12.386692

30 May 2000 Digital implementation of shunting-inhibitory cellular neural network

Tarik Hammadou, Abdesselam Bouzerdoum, Amine Bermak

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386692
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

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.

Citation Download Citation

Tarik Hammadou, Abdesselam Bouzerdoum, and Amine Bermak "Digital implementation of shunting-inhibitory cellular neural network", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386692

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