Content-based image retrieval using OWA fuzzy linking histogram

Authors:
Maryam Tayefeh Mahmoudi;Maedeh Beheshti;Fattaneh Taghiyareh;Kambiz Badie;Caro Lucas
Affiliations:
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran and Knowledge Management & e-Organizations Group, IT Research Faculty, Research Institute ...;School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran;School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran;Knowledge Management & e-Organizations Group, IT Research Faculty, Research Institute for ICT, Tehran, Iran;School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Year:
2013

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Abstract

Content-based image retrieval CBIR, as a well-known retrieval method, has been widely used in various applications. The basis of this method is on features like color, texture and shape. Color image histograms are very useful tools for this purpose. As these kinds of histograms results with large variations between neighboring bins, they seem so sensitive to any kind of changes such as noise, illumination, etc. To overcome this problem, fuzzy linking histogram based on OWA aggregation operator is proposed, which is capable of projecting 3-dimensional L*a*b* color histograms into single-dimension. The proposed method have been evaluated and compared with five other methods in retrieving similar images from the common database. The experimental results, reveals better performance of the proposed method in comparison with the other mentioned methods.