Fusion of Spatial Relationships for Guiding Recognition, with Examples in Brain Structure Recognition
Ecole Nationale Sup´erieure des T´el´ecommunications
Dept. TSI - CNRS URA 820
46 rue Barrault, 75013 Paris, France
We show in this paper the importance of spatial relations for the recognition of structures embedded in a complex environment and for reasoning under imprecision. Several types of relationships can be modeled in a unified way using fuzzy mathematical morphology. Their combination benefits from the powerful framework of fuzzy set theory for fusion tasks and decision making. An example of modelbased pattern recognition of brain structures in MRI is described and illustrates these aspects.