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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/w9wyv
Repositorysid.inpe.br/banon/2002/11.13.10.47
Last Update2002:11.13.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/11.13.10.47.38
Metadata Last Update2022:06.14.00.12.13 (UTC) administrator
DOI10.1109/SIBGRA.2000.883911
Citation KeyJungScha:2000:StTeIm
TitleStochastic texture image retrieval and similarity matching
Year2000
Access Date2025, July 11
Number of Files1
Size697 KiB
2. Context
Author1 Jung, C. R.
2 Scharcanski, J.
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date17-20 Oct. 2000
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages178-184
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:51 :: administrator -> banon ::
2008-08-26 15:23:02 :: banon -> administrator ::
2009-08-13 20:37:01 :: administrator -> banon ::
2010-08-28 20:00:11 :: banon -> administrator ::
2022-06-14 00:12:13 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage texture
stochastic texture image retrieval
stochastic texture image similarity matching
foil materials
multi-resolution method
texture image discrimination
orientation
gray-level distribution
AbstractStochastic texture images representing various foil materials (like polymer sheets, nonwoven textiles and paper) provide important information about these materials, and are frequently utilized in industry. It is often difficult to objectively measure the similarity among those images, or to discriminate images of different types of materials. This work proposes a new multi-resolution method for texture image discrimination and similarity matching. The wavelet transform is used to represent the images in multiple resolutions, and to describe them in terms of their orientation and gray-level distributions. It is also proposed a multi-resolution similarity measure based on this representation. Finally, some experiments illustrate the performance of our method, and some conclusions are presented.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Stochastic texture image...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Stochastic texture image...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/w9wyv
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/w9wyv
Target File178-184.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PN6AP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.27.03.08 31
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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