An adequate approach to image retrieval based on local level feature extraction

Image retrieval based on text annotation has become obsolete and is no longer interesting for scientists because of its high time complexity and low precision in results. Alternatively, increase in the amount of digital images has generated an excessive need for an accurate and efficient retrieval s...

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Main Authors:	Muhammad Hidayat Khan, Sumaira, Hussain, Ayyaz, Alshaikhli, Imad Fakhri Taha
Format:	Article
Language:	English
Published:	Mehran University of Engineering & Technology, Jamshoro , Pakistan. 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/1/pdf1144-sumaira.pdf

id	iium-46147
recordtype	eprints
spelling	iium-461472018-01-08T09:03:11Z http://irep.iium.edu.my/46147/ An adequate approach to image retrieval based on local level feature extraction Muhammad Hidayat Khan, Sumaira Hussain, Ayyaz Alshaikhli, Imad Fakhri Taha QA75 Electronic computers. Computer science Image retrieval based on text annotation has become obsolete and is no longer interesting for scientists because of its high time complexity and low precision in results. Alternatively, increase in the amount of digital images has generated an excessive need for an accurate and efficient retrieval system. This paper proposes content based image retrieval technique at a local level incorporating all the rudimentary features. Image undergoes the segmentation process initially and each segment is then directed to the feature extraction process. The proposed technique is also based on image’s content which primarily includes texture, shape and color. Besides these three basic features, FD (Fourier Descriptors) and edge histogram descriptors are also calculated to enhance the feature extraction process by taking hold of information at the boundary. Performance of the proposed method is found to be quite adequate when compared with the results from one of the best local level CBIR (Content Based Image Retrieval) techniques. Mehran University of Engineering & Technology, Jamshoro , Pakistan. 2015-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46147/1/pdf1144-sumaira.pdf Muhammad Hidayat Khan, Sumaira and Hussain, Ayyaz and Alshaikhli, Imad Fakhri Taha (2015) An adequate approach to image retrieval based on local level feature extraction. Mehran University Research Journal of Engineering & Technology, 34 (4). pp. 337-348. ISSN 2413-7219 (O), 0254-7821 (P) http://publications.muet.edu.pk/article_detail_abstract.php?p_id=1144
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Muhammad Hidayat Khan, Sumaira Hussain, Ayyaz Alshaikhli, Imad Fakhri Taha An adequate approach to image retrieval based on local level feature extraction
description	Image retrieval based on text annotation has become obsolete and is no longer interesting for scientists because of its high time complexity and low precision in results. Alternatively, increase in the amount of digital images has generated an excessive need for an accurate and efficient retrieval system. This paper proposes content based image retrieval technique at a local level incorporating all the rudimentary features. Image undergoes the segmentation process initially and each segment is then directed to the feature extraction process. The proposed technique is also based on image’s content which primarily includes texture, shape and color. Besides these three basic features, FD (Fourier Descriptors) and edge histogram descriptors are also calculated to enhance the feature extraction process by taking hold of information at the boundary. Performance of the proposed method is found to be quite adequate when compared with the results from one of the best local level CBIR (Content Based Image Retrieval) techniques.
format	Article
author	Muhammad Hidayat Khan, Sumaira Hussain, Ayyaz Alshaikhli, Imad Fakhri Taha
author_facet	Muhammad Hidayat Khan, Sumaira Hussain, Ayyaz Alshaikhli, Imad Fakhri Taha
author_sort	Muhammad Hidayat Khan, Sumaira
title	An adequate approach to image retrieval based on local level feature extraction
title_short	An adequate approach to image retrieval based on local level feature extraction
title_full	An adequate approach to image retrieval based on local level feature extraction
title_fullStr	An adequate approach to image retrieval based on local level feature extraction
title_full_unstemmed	An adequate approach to image retrieval based on local level feature extraction
title_sort	adequate approach to image retrieval based on local level feature extraction
publisher	Mehran University of Engineering & Technology, Jamshoro , Pakistan.
publishDate	2015
url	http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/1/pdf1144-sumaira.pdf
first_indexed	2023-09-18T21:05:42Z
last_indexed	2023-09-18T21:05:42Z
_version_	1777410918443909120

An adequate approach to image retrieval based on local level feature extraction

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