Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35UDE25
Repositorysid.inpe.br/sibgrapi@80/2009/08.31.18.59
Last Update2009:08.31.18.59.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.31.18.59.40
Metadata Last Update2022:06.14.00.14.08 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.23
Citation KeyRodriguesGira:2009:CoQiTs
TitleComputing the q-index for Tsallis Nonextensive Image Segmentation
FormatPrinted, On-line.
Year2009
Access Date2024, Apr. 29
Number of Files1
Size990 KiB
2. Context
Author1 Rodrigues, Paulo Sergio
2 Giraldi, Gilson Antônio
Affiliation1 Centro Universitário da FEI
2 National Laboratory for Scientific Computing
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addresspsergio@fei.edu.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:28 :: psergio@fei.edu.br -> administrator ::
2022-06-14 00:14:08 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsImage Segmentation
Tsallis Entropy
AbstractThe concept of entropy based on Shannon Theory of nformation has been applied in the field of image processing and analysis Since the work of T. Pun. This concept is based on the traditional Boltzaman-Gibbs entropy, proposed under the classical thermodynamic. On the other hand, it is well known that this old formalism fails to explain some physical system if they have complex behavior such as long rang interactions and long time memories. Recently, studies in mechanical statistics have proposed a new kind of entropy, called Tsallis entropy (or non-extensive entropy), which has been considered with promising results on several applications in order to explain such phenomena. The main feature of Tsallis entropy is the q-index parameter, which is close related to the degree of system nonextensivity. In 2004 was proposed the first algorithm for image segmentation based on Tsallis entropy. However, the computation of the q-index was already an open problem. On the other hand, in the field of image segmentation it is not an easy task to compare the quality of segmentation results. This is mainly due to the lack of an image ground truth based on human reasoning. In this paper, we propose the first methodology in the field of image segmentation for q-index computation and compare it with other similar approaches using a human based segmentation ground truth. The results suggest that our approach is a forward step for image segmentation algorithms based on Information Theory.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Computing the q-index...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Computing the q-index...
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/8JMKD3MGPBW4/35UDE25
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35UDE25
Languageen
Target FilePID949547.pdf
User Grouppsergio@fei.edu.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


Close