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A multiscale approach to texture-based image retrieval

A multiscale approach to texture-based image retrieval
A multiscale approach to texture-based image retrieval
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.
Content-based image retrieval, texture analysis, discrete wavelet frames, multiscale image matching
141-157
Fauzi, Mohammad Faizal Ahmed
0b3fffa8-0947-42de-b0de-b18316798742
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Fauzi, Mohammad Faizal Ahmed
0b3fffa8-0947-42de-b0de-b18316798742
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Fauzi, Mohammad Faizal Ahmed and Lewis, Paul H. (2008) A multiscale approach to texture-based image retrieval. Pattern Analysis and Applications, 11 (2), 141-157. (doi:10.1007/s10044-007-0085-7).

Record type: Article

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.

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More information

e-pub ahead of print date: 26 September 2007
Published date: June 2008
Additional Information: Imported from ISI Web of Science
Keywords: Content-based image retrieval, texture analysis, discrete wavelet frames, multiscale image matching
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 269278
URI: http://eprints.soton.ac.uk/id/eprint/269278
PURE UUID: ca48891e-5e1a-40c8-b2cb-1bc33fc24e3f

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Date deposited: 21 Apr 2010 07:46
Last modified: 20 Nov 2021 09:44

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Contributors

Author: Mohammad Faizal Ahmed Fauzi
Author: Paul H. Lewis

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