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

Published in

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