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Conference paper2004Peer reviewed

Defuzzification of discrete objects by optimizing area and perimeter similarity

Sladoje N, Lindblad J, Nyström Ingela

Abstract

We present a defuzzification method which produces a crisp digital object starting from a fuzzy digital one, while keeping selected properties of them as similar as possible. Our main focus is on defuzzification based on the invariance of perimeter and area measures while taking into account with the membership values. We perform a similarity optimization procedure using on a region growing approach to obtain a crisp object with the desired properties


Publisher: IEEE Computer Society

Conference

International Conference on Pattern Recognition (ICPR 2004)

      SLU Authors

    • Nyström, Ingela

      • Centre for Image Analysis, Swedish University of Agricultural Sciences

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/5711