Combination of Two Neurons for a Cell in Cellular Neural Networks
Nurul Amirah, Yoshihiro Kato, Yasuhiro Ueda, Yoko Uwate, Yoshifumi Nishio · 2012
In this paper, we propose a new structure of the Cellular Neural Networks (CNN) which combines two kinds of neurons for one cell. The proposed structure is inspired from the twolayer CNN. Compared with the two-layer CNN, the data from each neuron are sent using templates A1 and B2. We apply this structure to image processing of gray scale image and binary image. From two examples in simulation, we confirm that the proposed structure has a great potential in image processing.