Fuzzy relative position between objects in image processing: a morphological approach

Author

Bloch, Isabelle

Author_Institution

Ecole Nat. Superieure des Telecommun., Paris, France

Volume

21

Issue

7

fYear

1999

fDate

7/1/1999 12:00:00 AM

Firstpage

657

Lastpage

664

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;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.777378

Filename

777378