A novel digital fuzzy system for image edge detection based on wrap-gate carbon nanotube transistors

Ali Bozorgmehr; Mohammad Khaleqi Qaleh Jooq; Mohammad Hossein Moaiyeri; Keivan Navi; Nader Bagherzadeh

doi:10.1016/j.compeleceng.2020.106811

A novel digital fuzzy system for image edge detection based on wrap-gate carbon nanotube transistors

Ali Bozorgmehr
, Mohammad Khaleqi Qaleh Jooq
, Mohammad Hossein Moaiyeri
, Keivan Navi
, Nader Bagherzadeh

Shahid Beheshti University
University of California at Irvine

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

Abstract

This study presents a novel digital fuzzy approach for image edge detection based on carbon nanotube field effect transistor (CNTFET). The proposed design employs a simple fuzzy rule for digital image edge detection. To investigate the functionality and performance of the proposed fuzzy approach, our results are compared with the MATLAB edge detection operators such as Sobel, Canny, and Prewitt. Based on the simulation results, we demonstrate that the proposed fuzzy approach can be implemented through nanoscale logic gates and provide a reasonable accuracy. The core element of the proposed fuzzy system, implemented with CNTFETs, occupies 0.22 µm² layout area and consumes 535 nW power consumption. Our results also emphasize the benefits of the Gate-All-Around (GAA) CNTFETs as a potential candidate for nanoscale digital fuzzy image processing applications.

Original language	English
Article number	106811
Journal	Computers and Electrical Engineering
Volume	87
DOIs	https://doi.org/10.1016/j.compeleceng.2020.106811
Publication status	Published - Oct 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Keywords

CNTFET fuzzy system
Fuzzy logic
Image edge detection
Logic gates

Access to Document

10.1016/j.compeleceng.2020.106811

Cite this

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title = "A novel digital fuzzy system for image edge detection based on wrap-gate carbon nanotube transistors",

abstract = "This study presents a novel digital fuzzy approach for image edge detection based on carbon nanotube field effect transistor (CNTFET). The proposed design employs a simple fuzzy rule for digital image edge detection. To investigate the functionality and performance of the proposed fuzzy approach, our results are compared with the MATLAB edge detection operators such as Sobel, Canny, and Prewitt. Based on the simulation results, we demonstrate that the proposed fuzzy approach can be implemented through nanoscale logic gates and provide a reasonable accuracy. The core element of the proposed fuzzy system, implemented with CNTFETs, occupies 0.22 µm2 layout area and consumes 535 nW power consumption. Our results also emphasize the benefits of the Gate-All-Around (GAA) CNTFETs as a potential candidate for nanoscale digital fuzzy image processing applications.",

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language = "English",

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AU - Khaleqi Qaleh Jooq, Mohammad

AU - Moaiyeri, Mohammad Hossein

AU - Navi, Keivan

AU - Bagherzadeh, Nader

PY - 2020/10

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A novel digital fuzzy system for image edge detection based on wrap-gate carbon nanotube transistors

Abstract

Bibliographical note

Keywords

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