Robust Design for Local Concave CNN

Abstract

This paper proposes a robust design theorem for a kind of cellular neural/nonlinear networks (CNNs) to detect images with local concave properties and then gives a general method for determining template of such a kind of CNN. One theorem provides parameter inequalities for determining parameter intervals for implementing prescribed image processing function. Moreover, the numerical simulation is carried out, proved its practical applications.