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.

中文翻译：

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基于绕栅碳纳米管晶体管的新型图像边缘检测数字模糊系统

摘要 本研究提出了一种新的基于碳纳米管场效应晶体管（CNTFET）的图像边缘检测数字模糊方法。所提出的设计采用简单的模糊规则进行数字图像边缘检测。为了研究所提出的模糊方法的功能和性能，我们将我们的结果与 Sobel、Canny 和 Prewitt 等 MATLAB 边缘检测算子进行了比较。基于仿真结果，我们证明了所提出的模糊方法可以通过纳米级逻辑门实现并提供合理的精度。所提出的模糊系统的核心元件采用 CNTFET 实现，占用 0.22 µm2 布局面积并消耗 535 nW 功耗。