Determination of cellular neural networks parameters for feature detection of two-dimensional images

Abstract

Issues involved in cellular neural net design are discussed, and recommendations are made for parameter choice. Inherent errors of detection are pointed out and a method for their reduction is proposed. Complex signal processing in the net from the point of view of error occurrences is also discussed. A simple cell architecture is introduced, and its modification, appropriate for complex signal processing, is presented.<>