Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Towards general measures of comparison of objects
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
A New Way to Represent the Relative Position between Areal Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy adjacency between image objects
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy morphisms between graphs
Fuzzy Sets and Systems
Applying soft computing in defining spatial relations
Comparison of spatial relation definitions in computer vision
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Information combination operators for data fusion: a comparative review with classification
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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We show in this paper that mathematical morphology provides a unified and consistent framework to express different types of spatial relationships and to answer different questions about them, with good properties. We show then how to use these fuzzy relationships in model-based pattern recognition and spatial reasoning under imprecision. Two examples are presented, one where recognition of face features is expressed as non bijective correspondence between graphs representing regions and spatial relations, and one where anatomical expert knowledge involving spatial relationships is used to guide the recognition of brain structures.