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.
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.
|Keywords:||Content-based image retrieval - Texture segmentation - Texture identifier - Discrete wavelet frames - Mean-shift clustering|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Web & Internet Science
|Date Deposited:||31 Oct 2006|
|Last Modified:||20 Aug 2012 04:13|
|Contributors:||Fauzi, M.F.A. (Author)
Lewis, P.H. (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||9|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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