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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Romdhane, R. Mahersia, H. Hamrouni, K. |
| Copyright Year | 2008 |
| Description | Author affiliation: Nat. Eng. Sch. of Tunis, Tunis (Romdhane, R.; Mahersia, H.; Hamrouni, K.) |
| Abstract | Content-based image retrieval is an active and fast advancing research area since the 1990s as a result of advances in the Internet and new digital image sensor technologies. However, many challenging research problems continue to attract researchers from multiple disciplines. Content-based image retrieval uses the visual contents of an image as features to represent and index the image to be searched from large scale image databases. The quality of the selected features relies mainly on the degree of the invariance property that is ensured under acceptable manipulations. This paper proposes an efficient method for compactly representing color and texture features and combining them for image retrieval. The performance of retrieval based on these compact descriptors obtained by the proposed techniques is analyzed and tested on wang database images yielding satisfactory accuracy rates. A comparative study demonstrated that the developed feature extraction scheme outperformed the other schemes being compared with. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 334338 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424417513 |
| DOI | 10.1109/ICTTA.2008.4529999 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-07 |
| Publisher Place | Syria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Content based retrieval Digital images color Image retrieval texture wavelet transform Information retrieval Indexes Image sensors Content image retrieval Image analysis Image databases feature extraction Internet Large-scale systems Gabor contourlets |
| Content Type | Text |
| Resource Type | Article |
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