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 includ...

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Main Authors: Fauzi, Mohammad Faizal Ahmad, Lewis, Paul H.
Format: Article
Language:English
Published: SPRINGER 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/3264/
http://shdl.mmu.edu.my/3264/1/1286.pdf
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author Fauzi, Mohammad Faizal Ahmad
Lewis, Paul H.
author_facet Fauzi, Mohammad Faizal Ahmad
Lewis, Paul H.
author_sort Fauzi, Mohammad Faizal Ahmad
building MMU Institutional Repository
collection Online Access
description 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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spelling mmu-32642014-03-04T08:53:06Z http://shdl.mmu.edu.my/3264/ Automatic texture segmentation for content-based image retrieval application Fauzi, Mohammad Faizal Ahmad Lewis, Paul H. T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. SPRINGER 2006-11 Article NonPeerReviewed text en http://shdl.mmu.edu.my/3264/1/1286.pdf Fauzi, Mohammad Faizal Ahmad and Lewis, Paul H. (2006) Automatic texture segmentation for content-based image retrieval application. Pattern Analysis and Applications, 9 (4). pp. 307-323. ISSN 1433-7541 http://dx.doi.org/10.1007/s10044-006-0042-x doi:10.1007/s10044-006-0042-x doi:10.1007/s10044-006-0042-x
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Fauzi, Mohammad Faizal Ahmad
Lewis, Paul H.
Automatic texture segmentation for content-based image retrieval application
title Automatic texture segmentation for content-based image retrieval application
title_full Automatic texture segmentation for content-based image retrieval application
title_fullStr Automatic texture segmentation for content-based image retrieval application
title_full_unstemmed Automatic texture segmentation for content-based image retrieval application
title_short Automatic texture segmentation for content-based image retrieval application
title_sort automatic texture segmentation for content-based image retrieval application
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3264/
http://shdl.mmu.edu.my/3264/
http://shdl.mmu.edu.my/3264/
http://shdl.mmu.edu.my/3264/1/1286.pdf