Title :
Fuzzy relative position between objects in image processing: a morphological approach
Author_Institution :
Ecole Nat. Superieure des Telecommun., Paris, France
fDate :
7/1/1999 12:00:00 AM
Abstract :
In order to cope with the ambiguity of spatial relative position concepts, we propose a new definition of the relative position between two objects in a fuzzy set framework. This definition is based on a morphological and fuzzy pattern-matching approach, and consists of comparing an object to a fuzzy landscape representing the degree of satisfaction of a directional relationship to a reference object. It has good formal properties, it is flexible, it fits the intuition, and it can be used for structural pattern recognition under imprecision. Moreover, it also applies in 3D and for fuzzy objects issued from images
Keywords :
fuzzy set theory; mathematical morphology; object recognition; pattern matching; directional relationship; fuzzy set theory; image processing; mathematical morphology; pattern recognition; pattern-matching; spatial relative position; structural shape recognition; Biomedical imaging; Fuzzy sets; Goniometers; Histograms; Image processing; Image recognition; Morphology; Pattern recognition; Remote sensing; Structural shapes;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
