Patent ID: 6535860
Filing Date: 2003-03-18
Classification: G06N,G06T

Abstract:
An AWFM filter comprises:generic LR fuzzy cells synthesizing the filter and a fuzzy rule knowledge base which adjusts parameters in a membership function according to a histogram so that a WFM filter, a fuzzy detector, and a dynamic selector can be weighted; a non-linear weighted fuzzy mean filter for removing high density Gaussian impulse noises in polluted images; a single epoch, weights of the AWFM filter are adapted according to a small set of fuzzy rules, constructed by a proposed procedure; all the fuzzy rules in the fuzzy rule knowledge base infer concurrently for input nature estimation and filter adaptation, and statistic analyses ensure that the filtering of the AWFM filter possesses robust and consistent performance even when images are thoroughly polluted; the WFM filter receives external input and couples the fuzzy detector in order to estimate input characteristics of an input as well as to pre-filter noise, the WFM filter includes four fuzzy rules the first fuzzy rule finds portions of the filtered image with darker brightness; the second fuzzy rule finds portions of the filtered image with medium brightness; the third fuzzy rule finds portions of the filtered image with lighter brightness; and the fourth fuzzy rule finds portions of the filtered image with maximum likelihood brightness.