Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 6qtX3pFwXQZeBBx/w9wyv |
Repository | sid.inpe.br/banon/2002/11.13.10.47 |
Last Update | 2002:11.13.02.00.00 administrator |
Metadata | sid.inpe.br/banon/2002/11.13.10.47.38 |
Metadata Last Update | 2020:02.19.02.58.52 administrator |
Citation Key | JungScha:2000:StTeIm |
Title | Stochastic texture image retrieval and similarity matching  |
Year | 2000 |
Date | October |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 697 KiB |
Context area | |
Author | 1 Jung, C. R. 2 Scharcanski, J. |
Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Pages | 178-184 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History | 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 :: 2020-02-19 02:58:52 :: administrator -> :: 2000 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | image texture, stochastic texture image retrieval, stochastic texture image similarity matching, foil materials, multi-resolution method, texture image discrimination, orientation, gray-level distribution. |
Abstract | Stochastic 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. |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
Conditions of access and use area | |
data URL | http://urlib.net/rep/6qtX3pFwXQZeBBx/w9wyv |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w9wyv |
Target File | 178-184.pdf |
User Group | administrator |
Visibility | shown |
Allied materials area | |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
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