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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(1): 1-8 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.921

Observations on Using Type-2 Fuzzy Logic for Reducing Semantic Gap in Content–Based Image Retrieval System

Saad M. Darwish and Raad A. Ali
Abstract—Semantic–based image retrieval has been one of the most challenging problems in recent years. Although so many solutions are provided for filling the so-called gap between the content based image retrieval (CBIR) and what human beings expect from the retrieval task; none of them yields satisfactory results and the problem is still open for further research. In this paper, type-2 fuzzy logic (T2FL) framework is considered to alleviate two problems in traditional CBIR systems, including the semantic gap and the perception subjectivity. Employing T2FL has the potential to overcome the limitations of type-1 fuzzy logic and produce a new generation of fuzzy controllers with improved performance for many CBIR applications that require handling high levels of uncertainty. Thus, our contributions in this study are threefold. (1) The proposed system maps low-level visual statistical features to high-level semantic concepts; enabling to retrieve and browse image collections by their high-level semantic concepts. (2) Type2 fuzzy logic has been used to fuse (combine) extracted features as well as to deal with the ambiguity of human judgment of image similarity. (3) The system models the human perception subjectivity with the ability to handle high levels of uncertainties appropriately. A comparative study with the state-of-the-art type-1 fuzzy based image retrieval approaches reveals the effectiveness of the proposed system.

Index Terms—Type-2 fuzzy logic, semantic-based image retrieval, soft computing, image processing.

S. M. Darwish is with the Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, 163 Horreya Avenue, El Shatby 21526, P.O. Box 832, Alexandria, Egypt, (tel: (+203)4295007; e-mail: Saad.darwish@alex-igsr.edu.eg).
Raad A. Ali is with the Department of Computer, Ministry of Education, Iraq, (e-mail: Raad.ali885@yahoo.com).

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Cite:Saad M. Darwish and Raad A. Ali, "Observations on Using Type-2 Fuzzy Logic for Reducing Semantic Gap in Content–Based Image Retrieval System," International Journal of Computer Theory and Engineering vol. 7, no. 1, pp. 1-8, 2015.

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