Digital implementation of Shunting Inhibitory Cellular Neural Network

Tarik Hammadou, Abdesselam Bouzerdoum, Amine Bermak

Research output: Contribution to journalConference article

1 Citation (Scopus)

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 (SICNN) 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.

Original languageEnglish
Pages (from-to)II/-
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4067
Publication statusPublished - 3 Dec 2000
EventVisual Communications and Image Processing 2000 - Perth, Aust
Duration: 20 Jun 200023 Jun 2000

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ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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