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Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism
Joint Authors
Jalab, Hamid A.
Abdullah, Nor Aniza
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Recently, many researchers in the field of automatic content-based image retrieval have devoted a remarkable amount of research looking for methods to retrieve the best relevant images to the query image.
This paper presents a novel algorithm for increasing the precision in content-based image retrieval based on electromagnetism optimization technique.
The electromagnetism optimization is a nature-inspired technique that follows the collective attraction-repulsion mechanism by considering each image as an electrical charge.
The algorithm is composed of two phases: fitness function measurement and electromagnetism optimization technique.
It is implemented on a database with 8,000 images spread across 80 classes with 100 images in each class.
Eight thousand queries are fired on the database, and the overall average precision is computed.
Experimental results of the proposed approach have shown significant improvement in the retrieval performance in regard to precision.
American Psychological Association (APA)
Jalab, Hamid A.& Abdullah, Nor Aniza. 2013. Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032158
Modern Language Association (MLA)
Jalab, Hamid A.& Abdullah, Nor Aniza. Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1032158
American Medical Association (AMA)
Jalab, Hamid A.& Abdullah, Nor Aniza. Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032158
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032158