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Feature Based Defuzzification at Increased Spatial Resolution

Lindblad, Joakim (author)
Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys
Sladoje, Natasa (author)
Uppsala universitet,Centrum för bildanalys
 (creator_code:org_t)
Berlin, Heidelberg : Springer Berlin Heidelberg, 2006
2006
English.
In: Combinatorial Image Analysis. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783540351535 ; , s. 131-143
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Defuzzification of fuzzy spatial sets by feature distance minimization, recently proposed as an alternative to crisp segmentation, is studied further. Fully utilizing information available in a fuzzy (discrete) representation of a continuous shape, we present an improved defuzzification method, such that the crisp discrete representation of a fuzzy set is generated at an increased spatial resolution, compared to the resolution of the fuzzy set. The correspondence between a fuzzy and a crisp set is established through a distance between their representations based on selected features, where the different resolutions of the images to compare are taken into account. The performance of the method is tested on both synthetic and real images.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

fuzzy sets
defuzzification
multigrid resolution
distance measure
feature estimates
Image analysis
Bildanalys

Publication and Content Type

ref (subject category)
kon (subject category)

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Lindblad, Joakim
Sladoje, Natasa
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NATURAL SCIENCES
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Combinatorial Im ...
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Uppsala University

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