Image processing using a CMOS analog parallel architecture

The possibilities of image processing using the spatio-temporal dynamics of a Cellular Neural Network (CNN) type CMOS analog parallel architecture are investigated. It is shown that the network, consisting of an array of identically coupled identical cells, can be programmed to perform various spatial filtering operations and segmentation in a very short time and with low power consumption. Comparison with previously reported segmentation techniques and simulation results are discussed.