RTDs Based Cellular Neural/Nonlinear Networks with Applications in Image Processing

Shi Yong Gao; Shu Kai Duan; Li Dan Wang

doi:10.4028/www.scientific.net/AMR.403-408.2289

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408RTDs Based Cellular Neural/Nonlinear Networks with...

RTDs Based Cellular Neural/Nonlinear Networks with Applications in Image Processing

Abstract:

The resonant tunneling diodes (RTDs) are the quantum tunneling electronics in nano-scale size and have many interesting and valuable properties. Hence, they have been found numerous applications in high-speed digital and analog circuits to decrease the physical size and speed up the processing. This paper addresses the RTD based cellular neural/nonlinear networks (RTD-CNN). To verify its capacity, RTD-CNNs are employed to implement noisy removal, edge extraction and image inversion. A series of simulations demonstrate the effectiveness of the RTD-CNNs in promising applications in image processing.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2289-2292

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2289

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Online since:

November 2011

Authors:

Shi Yong Gao, Shu Kai Duan, Li Dan Wang

Keywords:

Cellular Neural / Nonlinear Networks, Image Processing, Resonant Tunneling Diodes

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