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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Novel Indexing Method of Relations Between Salient Objects

Novel Indexing Method of Relations Between Salient Objects
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Author(s): Richard Chbeir (Bourgogne University, France) and Kokou Yetongnon (Bourgogne University, France)
Copyright: 2005
Pages: 5
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch377


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During the last decade, a lot of work has been done in information technology in order to integrate image retrieval in the standard data processing environments (Rui, Huang & Chang, 1999; William & Grosky, 1997; Yoshitaka & Ichikawa, 1999).Relations between image objects are very frequently used to index the image-document (Peuquet, 1986). In medicine, for instance, the spatial data in surgical or radiation therapy of brain tumors are decisive because the location of a tumor has profound implications on a therapeutic decision (Chbeir, Amghar, & Flory, 2001). Hence, it is crucial to provide a precise and powerful system to express spatial relations. In the literature, three major types of spatial relations are proposed: metric (Peuquet, 1986), directional (El-kwae & Kabuka, 1999) and topological relations (Egenhofer, 1997; Egenhofer, Frank & Jackson, 1989).

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