A Novel Fuzzy Morphology, Part I : Definitins

  • Yonggwan Won (Electronics and Telecommunications Research Institute Taejon-City, Yoosung-Ku, Kajung-Dong 161) ;
  • Lee, Bae-Ho (Department of Computer Engineering Chonnam National University)
  • Published : 1995.10.01

Abstract

A novel definition for fuzzy mathematical morphology is described The generalized-mean operator plays the key role for this definition. Several hard constraints for standard generalized-mean have been eliminated. Complete mathematical description for obtaining fuzzy erosion and dilation is provided. The definitions are well suited for neural network implementation. Therefore, the parameters for the fuzzy definition can be optimized using neural network learning paradigm.

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