http://dx.doi.org/10.1109/CIS.2009.181">
 

Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Texture image retrieval using non-separable wavelets and local binary patterns

Language

English

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. © 2009 IEEE.

Publication Date

2009

Source Publication Title

Proceedings: 2009 International Conference on Computational Intelligence and Security

Start Page

287

End Page

291

Conference Location

Beijing, China

Publisher

IEEE

ISBN (print)

9781424454112

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