Paper Info
Title
A CMOS Analog Two-Layer Full Signal Range Cellular Neural Network for Image Filtering
Abstract
This work presents the training and realization of a CMOS analog two-layer FSR CNN obtained through the extension of an existing one-layer version. A genetic algorithm has been developed for the learning process and has been applied to the determination of templates parameters in a gray-scale image filtering task. Networks implementing first order Butterworth spatial filters have been simulated and the results are compared to its ideal model and FFT computations, allowing to validate the proposed learning process and circuit applicability.
Year
DOI
Venue
2020
10.1109/SBCCI50935.2020.9189904
2020 33rd Symposium on Integrated Circuits and Systems Design (SBCCI)
Keywords
DocType
ISBN
two-layer cellular neural network,image processing,spatial filtering,genetic algorithm
Conference
978-1-7281-9626-8
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
fabian souza de andrade122.85
Ana Isabela Araújo Cunha200.34
edson pinto santana344.10
Ygor Oliveira da Guarda Souza400.34