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Efficient Item Image Retrieval System

Daramola, S. A. and Abdulkareem, Ademola and Adinfona, K. Joshua (2014) Efficient Item Image Retrieval System. International Journal of Soft Computing and Engineering, 4 (2). pp. 109-113. ISSN 2231-2307

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Abstract

Content based image retrieval system is a very effective means of searching and retrieving similar images from large database. This method is faster and easy to implement compare to text based image retrieval method. Ability to extract discriminative low level feature from these images and use them with appropriate classifier is factor in determining retrieval result. In this work efficient item image retrieval system is proposed. The system utilizes Haar wavelet transform, Phase Congruency and Support Vector Machine. Haar wavelet transform acted on image to form four sub-images. Texture feature is extracted from smaller image blocks from detailed bands and it was combined with shape feature from approximation band to form feature vector. Feature distance margin is achieved between query image and images in the database using Support Vector Machine (SVM). The effectiveness of the system is confirmed from output retrieval results.

Item Type: Article
Uncontrolled Keywords: Content, Texture, shape, Support Vector Machine, Phase Congruency
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 03 Mar 2016 11:27
Last Modified: 03 Mar 2016 11:27
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6334

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