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Nonlinear filters for image processing in neuro-morphic parallel networks

By Leonid P. Yaroslavsky


A wide class of nonlinear filters for image processing is outlined and described in a unified way that may serve as a base for the design of their implementations in optoelectronic programmable parallel image processors. The filters are treated in terms of a finite set of certain estimation and neighborhood building operations. A set of such operations is suggested on the base of the analysis of a wide variety of nonlinear filters described in the literature

Topics: Key words, Image Processing, Nonlinear Filters, Optoelectronic processors
Year: 2014
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