Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison

Detalhes bibliográficos
Autor(a) principal: RODRIGUES, Paulo
Data de Publicação: 2013
Outros Autores: GIRALDI, G. A.
Tipo de documento: Artigo
Título da fonte: Biblioteca Digital de Teses e Dissertações da FEI
Texto Completo: https://repositorio.fei.edu.br/handle/FEI/984
https://doi.org/10.5752/P.2316-9451.2013v1n2p3
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spelling Este é um artigo publicado em acesso aberto sob uma licença Creative Commons (CC BY 4.0). Fonte: <http://periodicos.pucminas.br/index.php/abakos/article/view/P.2316-9451.2013v1n2p3> Acesso em: 07 nov. 2019info:eu-repo/semantics/openAccessRODRIGUES, PauloGIRALDI, G. A.2019-08-17T20:00:28Z2019-08-17T20:00:28Z2013RODRIGUES, Paulo; GIRALDI, G. A. Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison. Abakós, v. 1, n. 2, p. 1, 2013.2316-9451https://repositorio.fei.edu.br/handle/FEI/98410.5752/P.2316-9451.2013v1n2p3https://doi.org/10.5752/P.2316-9451.2013v1n2p3AbakósNon-extensive entropy algorithm for multi-region segmentation: generalization and comparisoninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article121Since eighties, the concept of entropy has been applied in the field of image processing and analysis. This concept is based on Shannon entropy which is an application in the Theory of Information of the traditional Boltzmann-Gibbs entropy, proposed to the classical thermodynamic. For decades, it is known that this old formalism of entropy fails to explain some physical system if they have complex behavior such as long-rang and long-memory interactions. Recently, studies in mechanical statistics have proposed a new kind of entropy, called Tsallis entropy (or q-entropy or non-extensive entropy), which has been considered with promising results on several application in order to explain such phenomena. In this paper we proposed an algorithm for image segmentation which is based on this new kind of entropy. Our approach, called Non-Extensive Segmentation Recursive Algorithm (NESRA) is an extension of other previous methodologies to binarize images only. In order to show the robustness of the NESRA performance, we compare it with well known and traditional approaches such as bootstrap, fuzzy c-means, k-means, self-organizing map and watershed image clustering methods. We show that, in several cases, the NESRA is better or overcomes these traditional approaches in distinct class of imagesTsallis entropyImage segmentationNon-extensive entropyreponame:Biblioteca Digital de Teses e Dissertações da FEIinstname:Centro Universitário da Fundação Educacional Inaciana (FEI)instacron:FEIORIGINALRI_984.pdfRI_984.pdfapplication/pdf3068688https://repositorio.fei.edu.br/bitstream/FEI/984/1/RI_984.pdfc87b5a3db48630325adeda9ee49ca9b7MD51TEXTRI_984.pdf.txtRI_984.pdf.txtExtracted texttext/plain68504https://repositorio.fei.edu.br/bitstream/FEI/984/2/RI_984.pdf.txtada8bf1d9b6490936901eb0ccc59d200MD52THUMBNAILRI_984.pdf.jpgRI_984.pdf.jpgGenerated Thumbnailimage/jpeg1594https://repositorio.fei.edu.br/bitstream/FEI/984/3/RI_984.pdf.jpg4b32f69a2933b55a52ee63b7f8192550MD53FEI/9842019-11-08 01:01:32.061Biblioteca Digital de Teses e Dissertaçõeshttp://sofia.fei.edu.br/pergamum/biblioteca/PRI
dc.title.pt_BR.fl_str_mv Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
title Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
spellingShingle Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
RODRIGUES, Paulo
Tsallis entropy
Image segmentation
Non-extensive entropy
title_short Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
title_full Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
title_fullStr Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
title_full_unstemmed Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
title_sort Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison
author RODRIGUES, Paulo
author_facet RODRIGUES, Paulo
GIRALDI, G. A.
author_role author
author2 GIRALDI, G. A.
author2_role author
dc.contributor.author.fl_str_mv RODRIGUES, Paulo
GIRALDI, G. A.
dc.subject.eng.fl_str_mv Tsallis entropy
Image segmentation
Non-extensive entropy
topic Tsallis entropy
Image segmentation
Non-extensive entropy
description 1
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2019-08-17T20:00:28Z
dc.date.available.fl_str_mv 2019-08-17T20:00:28Z
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dc.identifier.citation.fl_str_mv RODRIGUES, Paulo; GIRALDI, G. A. Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison. Abakós, v. 1, n. 2, p. 1, 2013.
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dc.identifier.doi.none.fl_str_mv 10.5752/P.2316-9451.2013v1n2p3
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identifier_str_mv RODRIGUES, Paulo; GIRALDI, G. A. Non-extensive entropy algorithm for multi-region segmentation: generalization and comparison. Abakós, v. 1, n. 2, p. 1, 2013.
2316-9451
10.5752/P.2316-9451.2013v1n2p3
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https://doi.org/10.5752/P.2316-9451.2013v1n2p3
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