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Automatic texture segmentation for content-based image retrieval application

Fauzi, M.F.A. and Lewis, P.H. (2006) Automatic texture segmentation for content-based image retrieval application Pattern Analysis & Applications, 9, (4), pp. 307-323.

Record type: Article

Abstract

In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm. The proposed technique is tested on a range of textured images including composite texture images, synthetic texture images, real scene images as well as our main source of images, the museum images of various kinds. An extension to the automatic texture segmentation, a texture identifier is also introduced for integration into a retrieval system, providing an excellent approach to content-based image retrieval using texture features.

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Published date: November 2006
Keywords: Content-based image retrieval - Texture segmentation - Texture identifier - Discrete wavelet frames - Mean-shift clustering
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 263145
URI: http://eprints.soton.ac.uk/id/eprint/263145
PURE UUID: e3c9c4eb-1c66-471b-992d-3a9b130f0aaf

Catalogue record

Date deposited: 31 Oct 2006
Last modified: 18 Jul 2017 08:43

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Contributors

Author: M.F.A. Fauzi
Author: P.H. Lewis

University divisions

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