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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SPRINGER
2006
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3264/ http://shdl.mmu.edu.my/3264/1/1286.pdf |
| _version_ | 1848790279826440192 |
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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. |
| first_indexed | 2025-11-14T18:10:06Z |
| format | Article |
| id | mmu-3264 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:10:06Z |
| publishDate | 2006 |
| publisher | SPRINGER |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |