Fuzzy relative position between objects in images: a morphological approach
In order to cope with the ambiguity of spatial relative position concepts, we propose new definitions of the relative position between two objects in the fuzzy set framework, which are based on fuzzy pattern matching approaches. They have good properties, are flexible, fit the intuition, and they can be used for structural pattern recognition under imprecision. Moreover, they apply also in 3D, and for fuzzy image objects.