Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism
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 retri...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/782519 |
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doaj-de17408bec124b8f8ffb9baf4878c5462020-11-24T23:14:27ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/782519782519Content-Based Image Retrieval Based on Electromagnetism-Like MechanismHamid A. Jalab0Nor Aniza Abdullah1Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaFaculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaRecently, 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.http://dx.doi.org/10.1155/2013/782519 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hamid A. Jalab Nor Aniza Abdullah |
spellingShingle |
Hamid A. Jalab Nor Aniza Abdullah Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism Mathematical Problems in Engineering |
author_facet |
Hamid A. Jalab Nor Aniza Abdullah |
author_sort |
Hamid A. Jalab |
title |
Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism |
title_short |
Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism |
title_full |
Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism |
title_fullStr |
Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism |
title_full_unstemmed |
Content-Based Image Retrieval Based on Electromagnetism-Like Mechanism |
title_sort |
content-based image retrieval based on electromagnetism-like mechanism |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2013-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2013/782519 |
work_keys_str_mv |
AT hamidajalab contentbasedimageretrievalbasedonelectromagnetismlikemechanism AT noranizaabdullah contentbasedimageretrievalbasedonelectromagnetismlikemechanism |
_version_ |
1725594368835846144 |