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Automatic texture segmentation for content-based image retrieval application

Automatic texture segmentation for content-based image retrieval application
Automatic texture segmentation for content-based image retrieval application
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.
Content-based image retrieval - Texture segmentation - Texture identifier - Discrete wavelet frames - Mean-shift clustering
307-323
Fauzi, M.F.A.
d0b509f4-37c4-4b3c-90d2-9215cb932238
Lewis, P.H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Fauzi, M.F.A.
d0b509f4-37c4-4b3c-90d2-9215cb932238
Lewis, P.H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Fauzi, M.F.A. and Lewis, P.H. (2006) Automatic texture segmentation for content-based image retrieval application. Pattern Analysis & Applications, 9 (4), 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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paa06 - Other
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More information

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: 14 Mar 2024 07:25

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Contributors

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

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