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.
Keywords
CNN, Robust, Local concave
DOI
10.12783/dtetr/icca2016/6024
10.12783/dtetr/icca2016/6024
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