TY - JOUR
T1 - A novel digital fuzzy system for image edge detection based on wrap-gate carbon nanotube transistors
AU - Bozorgmehr, Ali
AU - Khaleqi Qaleh Jooq, Mohammad
AU - Moaiyeri, Mohammad Hossein
AU - Navi, Keivan
AU - Bagherzadeh, Nader
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/10
Y1 - 2020/10
N2 - 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.
AB - 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.
KW - CNTFET fuzzy system
KW - Fuzzy logic
KW - Image edge detection
KW - Logic gates
UR - http://www.scopus.com/inward/record.url?scp=85089555125&partnerID=8YFLogxK
U2 - 10.1016/j.compeleceng.2020.106811
DO - 10.1016/j.compeleceng.2020.106811
M3 - Article
AN - SCOPUS:85089555125
SN - 0045-7906
VL - 87
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
M1 - 106811
ER -