A digitally programmable current mode analog shunting inhibition cellular neural network

Amine Bermak; Farid Boussa Èdand Abdesselam Bouzerdoum

doi:10.1109/ICECS.2000.913036

A digitally programmable current mode analog shunting inhibition cellular neural network

Amine Bermak^*, Farid Boussa Èdand Abdesselam Bouzerdoum

^*Corresponding author for this work

Edith Cowan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural Network (SICNN) is proposed. Image enhancement and edge detection based on SICNN with programmable mask size are achieved within a CMOS imager. In contrast to most existing implementations, the circuit is based on a mixed analog digital approach in which the read-out is realized using a digital circuit while the processing takes advantage of the compactness and low power of the current mode approach. The mask size and coef®cients can be varied with a digitally programmable current mode analog processor. In addition, the pixel output and the processed SICNN output are obtained simultaneously on the ^-y resulting in a real-time computation of SICNN. The imager has been fabricated using 0.7 μm CMOS technology.

Original language	English
Title of host publication	ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems
Pages	962-965
Number of pages	4
DOIs	https://doi.org/10.1109/ICECS.2000.913036
Publication status	Published - 2000
Externally published	Yes
Event	7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000 - Jounieh, Lebanon Duration: 17 Dec 2000 → 20 Dec 2000

Publication series

Name	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume	2

Conference

Conference	7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000
Country/Territory	Lebanon
City	Jounieh
Period	17/12/00 → 20/12/00

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10.1109/ICECS.2000.913036

Cite this

Bermak, A., & Bouzerdoum, F. B. È. A. (2000). A digitally programmable current mode analog shunting inhibition cellular neural network. In ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems (pp. 962-965). Article 913036 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2). https://doi.org/10.1109/ICECS.2000.913036

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title = "A digitally programmable current mode analog shunting inhibition cellular neural network",

abstract = "A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural Network (SICNN) is proposed. Image enhancement and edge detection based on SICNN with programmable mask size are achieved within a CMOS imager. In contrast to most existing implementations, the circuit is based on a mixed analog digital approach in which the read-out is realized using a digital circuit while the processing takes advantage of the compactness and low power of the current mode approach. The mask size and coef{\textregistered}cients can be varied with a digitally programmable current mode analog processor. In addition, the pixel output and the processed SICNN output are obtained simultaneously on the -y resulting in a real-time computation of SICNN. The imager has been fabricated using 0.7 μm CMOS technology.",

author = "Amine Bermak and Bouzerdoum, {Farid Boussa {\`E}dand Abdesselam}",

year = "2000",

doi = "10.1109/ICECS.2000.913036",

language = "English",

isbn = "0780365429",

series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",

pages = "962--965",

booktitle = "ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems",

note = "7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000 ; Conference date: 17-12-2000 Through 20-12-2000",

}

Bermak, A & Bouzerdoum, FBÈA 2000, A digitally programmable current mode analog shunting inhibition cellular neural network. in ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems., 913036, Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, vol. 2, pp. 962-965, 7th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2000, Jounieh, Lebanon, 17/12/00. https://doi.org/10.1109/ICECS.2000.913036

A digitally programmable current mode analog shunting inhibition cellular neural network. / Bermak, Amine ; Bouzerdoum, Farid Boussa Èdand Abdesselam.
ICECS 2000 - 7th IEEE International Conference on Electronics, Circuits and Systems. 2000. p. 962-965 913036 (Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural Network (SICNN) is proposed. Image enhancement and edge detection based on SICNN with programmable mask size are achieved within a CMOS imager. In contrast to most existing implementations, the circuit is based on a mixed analog digital approach in which the read-out is realized using a digital circuit while the processing takes advantage of the compactness and low power of the current mode approach. The mask size and coef®cients can be varied with a digitally programmable current mode analog processor. In addition, the pixel output and the processed SICNN output are obtained simultaneously on the -y resulting in a real-time computation of SICNN. The imager has been fabricated using 0.7 μm CMOS technology.

AB - A novel read-out and column circuit for VLSI implementation of a Shunting Inhibition Cellular Neural Network (SICNN) is proposed. Image enhancement and edge detection based on SICNN with programmable mask size are achieved within a CMOS imager. In contrast to most existing implementations, the circuit is based on a mixed analog digital approach in which the read-out is realized using a digital circuit while the processing takes advantage of the compactness and low power of the current mode approach. The mask size and coef®cients can be varied with a digitally programmable current mode analog processor. In addition, the pixel output and the processed SICNN output are obtained simultaneously on the -y resulting in a real-time computation of SICNN. The imager has been fabricated using 0.7 μm CMOS technology.

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A digitally programmable current mode analog shunting inhibition cellular neural network

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