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Content Provider | IEEE Xplore Digital Library |
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Author | Xin Liu Xinge You Yiu-ming Cheung |
Copyright Year | 2009 |
Abstract | This paper proposes a new image retrieval method using non-separable discrete wavelets (NDWT) and local binary patterns (LBP). Compared with the traditional wavelet, the three high frequency sub-images generated by the non-separable wavelets can extract more information and do not extensively focus on the three special directions any more. Further, local image texture and their occurrence histogram called local binary pattern (LBP) are a very powerful texture feature in spatial domain. Experimental results demonstrate the efficacy of the proposed algorithm in comparison with the existing related algorithms. |
Starting Page | 287 |
Ending Page | 291 |
File Size | 279831 |
Page Count | 5 |
File Format | |
ISBN | 9781424454112 |
e-ISBN | 9781424454129 |
DOI | 10.1109/CIS.2009.181 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-12-11 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image texture Symmetric matrices Low pass filters Image retrieval Local Binary Patterns Information retrieval Wavelet analysis Non-Separable Wavelets Discrete wavelet transforms Multiresolution analysis Image Retrieval Feature extraction Filter bank |
Content Type | Text |
Resource Type | Article |
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