Title :
Fuzzy relative position between objects in images: a morphological approach
Author_Institution :
Dept. Images, Ecole Nat. Superieure des Telecommun., Paris, France
Abstract :
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
Keywords :
fuzzy set theory; image matching; mathematical morphology; object recognition; pattern matching; 3D fuzzy objects; fuzzy image objects; fuzzy pattern matching; fuzzy set framework; morphological approach; spatial relative position; structural pattern recognition; Biomedical imaging; Brain; Fuzzy sets; Humans; Image recognition; Marine vehicles; Pattern matching; Pattern recognition; Satellites; Shape;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.561071
