Abstract

Threshold logic filter is a broad class of the nonlinear filters. A designing method of cascaded threshold logic filters is proposed. The designing method is based on the learning rule for the multilayer neural network. The results of the optimization of the cascaded threshold logic filters are presented. Optimization includes those of the weighted median filter and the rank-order based nonlinear differential operator (RONDO) for specific applications.