Feature Based Defuzzification in ℤ2 and ℤ3 Using a Scale Space Approach

  • Joakim Lindblad
  • Nataša Sladoje
  • Tibor Lukić
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4245)


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.


Feature Representation Resolution Level Feature Distance Fuzzy Object Minkowski Distance 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Joakim Lindblad
    • 1
  • Nataša Sladoje
    • 2
  • Tibor Lukić
    • 2
  1. 1.Centre for Image AnalysisSwedish University of Agricultural SciencesUppsalaSweden
  2. 2.Faculty of EngineeringUniversity of Novi SadNovi SadSerbia

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