Two-Layer Cellular Neural Networks with Layer of Delay Output
Conference: CNNA 2018 - The 16th International Workshop on Cellular Nanoscale Networks and their Applications
08/28/2018 - 08/30/2018 at Budapest, Hungary
Proceedings: CNNA 2018
Pages: 4Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Ando, Takahisa; Uwate, Yoko; Nishio, Yoshifumi (Dept. of Electrical and Electronic Engineering, Tokushima University, 2-1 Minami-Josanjima, Tokushima 770–8506, Japan)
Cellular Neural Networks (CNN) has been developed as a high-speed parallel signal processing platform by L. O. Chua and L. Yang in 1988. Then, generalized two-layer CNN model has been proposed. Two-layer CNN efficiently behaves compared to single-layer CNN for many applications of image processing. In this study, we propose a new two-layer CNN system including layer of delay output. In the proposed system, second-layer CNN is added a delay output value by the delay type feedback template. In addition, first-layer CNN receives information including delay output from second-layer CNN. We apply the proposed system to edge detection and investigate its performance.