Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/283
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Cheng, KO | - |
dc.creator | Law, NFB | - |
dc.creator | Siu, WC | - |
dc.date.accessioned | 2014-12-11T08:27:20Z | - |
dc.date.available | 2014-12-11T08:27:20Z | - |
dc.identifier.isbn | 0-7803-9390-2 | - |
dc.identifier.uri | http://hdl.handle.net/10397/283 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.rights | © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_US |
dc.rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | en_US |
dc.subject | Multi-scale directional filter bank | en_US |
dc.subject | Content based image retrieval | en_US |
dc.subject | Texture characterization | en_US |
dc.subject | Discrete wavelet transform | en_US |
dc.title | Co-occurrence features of multi-scale directional filter bank for texture characterization | en_US |
dc.type | Conference Paper | en_US |
dc.description.otherinformation | Author name used in this publication: N. F.Law | en_US |
dc.description.otherinformation | Author name used in this publication: K. O. Cheng | en_US |
dc.description.otherinformation | Author name used in this publication: W. C. Siu | en_US |
dc.description.otherinformation | Refereed conference paper | en_US |
dcterms.abstract | In this paper, we propose to use co-occurrence features computed from multi-scale directional filter bank (MDFB) for texture characterization. As the filter band coefficients are localized frequency components, features from co-occurrence matrices of filter bands can characterize structures of textures by describing correlation among coefficients. Our experiments show that the co-occurrence features outperform energy features considerably in texture retrieval. In particular, they significantly improve the retrieval rate for textures with weak directionality and periodicity while still maintain a high retrieval rate for regular textures as the energy features. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | 2006 IEEE International Symposium on Circuits and Systems : May 21-24, 2006, Kos International Convention Centre (KICC), Island of Kos, Greece : proceedings, p. 5499-5502 | - |
dcterms.issued | 2006 | - |
dc.identifier.isi | WOS:000245413505196 | - |
dc.identifier.scopus | 2-s2.0-34547273264 | - |
dc.identifier.rosgroupid | r26985 | - |
dc.description.ros | 2005-2006 > Academic research: refereed > Refereed conference paper | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
texture_06.pdf | 3.68 MB | Adobe PDF | View/Open |
Page views
76
Last Week
0
0
Last month
Citations as of Apr 21, 2024
Downloads
85
Citations as of Apr 21, 2024
SCOPUSTM
Citations
2
Last Week
0
0
Last month
Citations as of Apr 26, 2024
WEB OF SCIENCETM
Citations
2
Last Week
0
0
Last month
0
0
Citations as of Apr 25, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.