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Conference paper - Peer-reviewed, 2004

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

Published in


Publisher: IEEE Computer Society

Conference

International Conference on Pattern Recognition (ICPR 2004)

Authors' information

Nyström, Ingela
Swedish University of Agricultural Sciences, Centre for Image Analysis
Sladoje, N.
Swedish University of Agricultural Sciences, Centre for Image Analysis
Lindblad, J.
Swedish University of Agricultural Sciences, Centre for Image Analysis

URI (permanent link to this page)

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