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Fast gradual matching measure for image retrieval based on visual similarity and spatial relations
Author(s) -
Omhover JeanFrançois,
Detyniecki Marcin
Publication year - 2006
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.20156
Subject(s) - set (abstract data type) , similarity (geometry) , computer science , matching (statistics) , measure (data warehouse) , spatial relation , information retrieval , object based spatial database , similarity measure , image (mathematics) , data mining , similitude , pattern recognition (psychology) , data set , image retrieval , spatial analysis , artificial intelligence , spatial database , mathematics , statistics , programming language
In this article, we propose a new method to retrieve images containing a request set of regions. The user is asked to specify a set of regions belonging to a single image. Then this request set of regions is compared to the sets of the regions of the images in the database. We propose a comparison measure that not only evaluates the similarity of regions one to the other, but that also takes into account the spatial configuration of the regions. The spatial structure of the regions is represented by means of fuzzy spatial relations, like horizontal and vertical disposal and connexity. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 711–723, 2006.