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

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)

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6534/46147
Uncontrolled Keywords:	Content Based Image Retrieval, Feature Extraction, Feature Vector, Similarity Measure, Edge Histogram Descriptor, Fourier Descriptor.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Professor Imad Taha
Date Deposited:	18 Dec 2015 15:05
Last Modified:	08 Jan 2018 17:03
URI:	http://irep.iium.edu.my/id/eprint/46147

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