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Title: | Feature based defuzzification in ℤ<sup>2</sup> and ℤ<sup>3</sup> using a scale space approach | Authors: | Lindblad J. Sladoje N. Lukić T. |
Issue Date: | 1-Jan-2006 | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Abstract: | 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. © Springer-Verlag Berlin Heidelberg 2006. | URI: | https://open.uns.ac.rs/handle/123456789/14007 | ISBN: | 3540476512 | ISSN: | 03029743 |
Appears in Collections: | FTN Publikacije/Publications |
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