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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Mehran University of Engineering & Technology, Jamshoro , Pakistan.
2015
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| Online Access: | http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/1/pdf1144-sumaira.pdf |
| _version_ | 1848782916614619136 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:13:04Z |
| format | Article |
| id | iium-46147 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:13:04Z |
| publishDate | 2015 |
| publisher | Mehran University of Engineering & Technology, Jamshoro , Pakistan. |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/ http://irep.iium.edu.my/46147/1/pdf1144-sumaira.pdf |