Output characteristics of cellular neural networks using mixture template
Takashi Inoue, Masaru Nakano, Yoshifumi Nishio · 2008
In this research, we propose cellular neural networks using mixture template as an example of space-varying cellular neural networks. As the first step of the investigation of such complex nonlinear circuit networks, we propose two mixing methods of the templates and investigate the output characteristics of the simple image processing with a binary image and a grayscale image by computer simulations.