A multiscale approach to texture-based image retrieval

Fauzi, Mohammad Faizal Ahmad and Lewis, Paul H. (2008) A multiscale approach to texture-based image retrieval. Pattern Analysis and Applications, 11 (2). pp. 141-157. ISSN 1433-7541

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Official URL: http://dx.doi.org/10.1007/s10044-007-0085-7

Abstract

This paper presents research on a robust technique for texture-based image retrieval in multimedia museum collections. The aim is to be able to use a query image patch containing a single texture to retrieve images containing an area with similar texture to that in the query. The feature extractor used to build the feature vectors is based on an improved version of the discrete wavelet frames (DWF), proposed elsewhere. In order to utilise the feature extractor on real scene image datasets, a block-oriented decomposition technique, termed the multiscale sub-image matching method, is presented. The multiscale method, together with the DWF, provide an efficient content-based retrieval technique without the need for segmentation. The algorithms are tested on a range of databases of texture images as well as on real museum image collections. Promising results are reported.

Item Type: Article
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 08 Sep 2011 02:15
Last Modified: 25 Feb 2014 03:07
URI: http://shdl.mmu.edu.my/id/eprint/2667

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