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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vQniN
Repositorysid.inpe.br/banon/2002/10.21.17.56
Last Update2002:08.29.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.21.17.56.14
Metadata Last Update2022:06.14.00.11.40 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167134
Citation KeyYePeng:2002:ImInAn
TitleImprovement and invariance analysis of Zernike moments using as a region-based shape descriptor
Year2002
Access Date2024, May 02
Number of Files1
Size184 KiB
2. Context
Author1 Ye, Bin
2 Peng, Jia-xiong
EditorGonçalves, Luiz Marcos Garcia
Musse, Soraia Raupp
Comba, João Luiz Dihl
Giraldi, Gilson
Dreux, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
Conference LocationFortaleza, CE, Brazil
Date10-10 Oct. 2002
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:44 :: administrator -> banon ::
2008-08-26 15:21:20 :: banon -> administrator ::
2009-08-13 20:36:30 :: administrator -> banon ::
2010-08-28 20:00:04 :: banon -> administrator ::
2022-06-14 00:11:40 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractIn order to retrieve an image from a large image database, the descriptor should be invariant to scale and rotation. It must also have enough discriminating power and immunity to noise for retrieval from a large image database. The Zernike moment descriptor has many desirable properties such as rotation invariance, robustness to noise, expression efficiency, fast computation and multi-level representation for describing the shapes of patterns, but it does not possess scale invariance. In this paper, we present an improved Zernike moment descriptor that not only has rotation invariance, but also has scale invariance. We apply the improved Zernike moments to image recognition using as an elective descriptor of global shape of an image in a large image database. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Improvement and invariance...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/vQniN
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vQniN
Languageen
Target File2.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Fortaleza, CE, Brazil, from October 7 to 10.
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