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Digital implementation of Shunting Inhibitory Cellular Neural Network

Conference 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 (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.

Publication Date


  • 2000

Citation


  • Hammadou, T., Bouzerdoum, A., & Bermak, A. (2000). Digital implementation of Shunting Inhibitory Cellular Neural Network. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 4067 (II) (pp. 904-912). doi:10.1117/12.386692

Scopus Eid


  • 2-s2.0-0033715892

Start Page


  • 904

End Page


  • 912

Volume


  • 4067 (II)

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.

Publication Date


  • 2000

Citation


  • Hammadou, T., Bouzerdoum, A., & Bermak, A. (2000). Digital implementation of Shunting Inhibitory Cellular Neural Network. In Proceedings of SPIE - The International Society for Optical Engineering Vol. 4067 (II) (pp. 904-912). doi:10.1117/12.386692

Scopus Eid


  • 2-s2.0-0033715892

Start Page


  • 904

End Page


  • 912

Volume


  • 4067 (II)