Extending adjacency to fuzzy sets for coping with imprecise image objects
The aim of this research was to investigate notions of fuzzy adjacency that could serve for model-based pattern recognition in image processing under imprecision. We proposed several definitions for extending adjacency to fuzzy objects, that show good properties with respect to binary definitions and to the requirements we imposed, and that provide for a consistent representation and management of imprecision, which is directly represented in the considered objects.
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