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http://dx.doi.org/10.5391/JKIIS.2009.19.6.760

Ontology-based Object-Image Recognition by Using Information on Inner-Objects  

Lee, In-K. (영남대학교 전기공학과)
Seo, Suk-T. (영남대학교 전기공학과)
Seok, Ji-Kwon (안동과학대학 자동차과)
Kwon, Soon-H. (영남대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.19, no.6, 2009 , pp. 760-765 More about this Journal
Abstract
Since the features in object-images such as color and shape cannot clearly express the characteristic of objects, those features lead to vagueness of object-image recognition. Recently there have been studied on object-image recognition based on knowledge base in order to reduce the vagueness. However, because images are represented by numerical information but knowledge bases are represented by conceptual information, combining two kinds of information is difficult. In this paper, we compose knowledge base by using ontology to reduce the gap between the two kinds of information, and propose a method for object-image recognition to reduce the vagueness by using information on inner-object. Moreover, we confirm the usefulness of the proposed method through the experiments on object-image recognition in fruit domain.
Keywords
ontology; image understanding; object-image recognition; inner-object;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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