Fusion in image processing: specific features and digital approaches : Fuzzy and possibilistic fusion

Fuzzy and possibilistic fusion
Fusion in image processing: specific features and digital approaches

Authors : Isabelle BLOCH, Henri MAÎTRE

Publication date: May 10, 2002 | Lire en français

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5. Fuzzy and possibilistic fusion

Among the non-probabilistic techniques that have appeared in image processing over the last ten years, fuzzy set theory provides a very good tool for explicitly representing imprecise information, in the form of membership functions[7][69][129]. The $M_{i}^{j} (x)$ measure then takes the form :
$M_{i}^{j} (x) = μ_{i}^{j} (x)$

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Fuzzy and possibilistic fusion

(1) - WHITE (F.E.) - Data Fusion Lexicon, Data Fusion Subpanel of the Joint Directors of Laboratories Technical Panel for C³. - 1991.
(2) - ANDRESS (K.M.), KAK (A.C.) - Evidence Accumulation and Low Control in a Hierarchical Spatial Reasoning System. - AI Magazine, p. 75-94, 1988.

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