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), 307-323.


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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.

Item Type: Article
ISSNs: 143375411433755X
Related URLs:
Keywords: Content-based image retrieval - Texture segmentation - Texture identifier - Discrete wavelet frames - Mean-shift clustering
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 263145
Accepted Date and Publication Date:
November 2006Published
Date Deposited: 31 Oct 2006
Last Modified: 31 Mar 2016 14:07
Further Information:Google Scholar

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