Two-Layer Cellular Neural Networks with Layer of Delay Output

Inhalt:
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.