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Feature Based Defuz...
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Lindblad, JoakimUppsala universitet,Centrum för bildanalys,Datoriserad bildanalys
(author)
Feature Based Defuzzification in Z² and Z³ Using a Scale Space Approach
- Article/chapterEnglish2006
Publisher, publication year, extent ...
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Berlin, Heidelberg :Springer Berlin Heidelberg,2006
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:uu-12444
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-12444URI
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https://doi.org/10.1007/11907350_32DOI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Notes
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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.
Subject headings and genre
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TECHNOLOGY
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TEKNIKVETENSKAP
Added entries (persons, corporate bodies, meetings, titles ...)
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Sladoje, NatasaUppsala universitet,Centrum för bildanalys(Swepub:uu)namat934
(author)
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Lukic, Tibor
(author)
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Uppsala universitetCentrum för bildanalys
(creator_code:org_t)
Related titles
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In:Discrete Geometry for Computer Imagery 13th International Conference, DGCI 2006, Szeged, Hungary, October 25-27, 2006. ProceedingsBerlin, Heidelberg : Springer Berlin Heidelberg, s. 379-3909783540476511
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