• cellular neural networks;
  • CMOS integrated circuits;
  • image processing;
  • measurement


An implementation of a cellular neural/non-linear network (CNN) for processing black-and-white (B/W) images is presented in which the template terms are 1-bit programmable. Such approach leads to a very compact implementation of the coefficient circuits and fast (digital) programming. In this programming scheme, the more complex templates are split into subtasks that are run successively. The structure allows a direct or algorithmic evaluation of the majority of templates proposed for B/W images. The transient mask is utilized in performing the local logic operations as well as in template operations. The proposed architecture is suitable for high-density implementations. A test structure of a 4 × 4 network has been implemented with a standard digital 0.18-µm CMOS process. One cell occupies only 155 µm2, making possible the implementations of very large networks on a single chip. The algorithms used for the logic function computations and selected template evaluations are described, and the corresponding measurement results are shown. Copyright © 2006 John Wiley & Sons, Ltd.