Feature Based Defuzzification in Z² and Z³ Using a Scale Space Approach
2006 (English)In: Discrete Geometry for Computer Imagery 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006. Proceedings: DGCI 2006, 2006, 379-390 p.Conference paper (Refereed)
A defuzzification method based on feature distance minimization is further improved by incorporating into the distance function feature values measured on object representations at different scales. It is noticed that such an approach can improve defuzzification results by better preserving the properties of a fuzzy set; area preservation at scales in-between local (pixel-size) and global (the whole object) provides that characteristics of the fuzzy object are more appropriately exhibited in the defuzzification. For the purpose of comparing sets of different resolution, we propose a feature vector representation of a (fuzzy and crisp) set, utilizing a resolution pyramid. The distance measure is accordingly adjusted. The defuzzification method is extended to the 3D case. Illustrative examples are given.
Place, publisher, year, edition, pages
2006. 379-390 p.
, Lecture notes in computer science, ISSN 0302-9743 ; 4245
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-12444DOI: 10.1007/11907350_32ISBN: 978-3-540-47651-1OAI: oai:DiVA.org:uu-12444DiVA: diva2:40213