| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10361753 | Pattern Recognition Letters | 2005 | 9 Pages |
Abstract
Spatial relations play an important role in 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. This paper presents several methods of fusion of information about spatial relationships and illustrates them on the example of model-based recognition of brain structures in 3D magnetic resonance imaging.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Isabelle Bloch, Olivier Colliot, Oscar Camara, Thierry Géraud,