Fusion in the theory of belief functions
Fusion in image processing: specific features and digital approaches
Article REF: TE5230 V1
Fusion in the theory of belief functions
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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4. Fusion in the theory of belief functions

The theory of belief functions (or Dempster-Shafer theory) dates back to the 1970s, but its use in image fusion is relatively recent. Nevertheless, the first applications are promising, and in this paragraph we show what features of this theory justify our interest in it, both from the point of view of knowledge representation and its imperfections (imprecision, uncertainty, ambiguity, ignorance, conflict) and their combination.

4.1 Modeling

The theory of belief functions makes it possible, analogously to possibility theory as we shall see in ...

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