Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy

Detalhes bibliográficos
Autor(a) principal: RODRIGUES, Paulo
Data de Publicação: 2015
Outros Autores: LOPES, Guilherme, ERDMANN, H. R., RIBEIRO, M. P., 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/1008
https://link.springer.com/content/pdf/10.1007%2Fs10044-015-0450-x.pdf
Resumo: In this paper we show that the non-extensive Tsallis entropy, when used as kernel in the bio-inspired firefly algorithm for multi-thresholding in image segmentation, is more efficient than using the traditional crossentropy resented in the literature. The firefly algorithm is a swarm-based meta-heuristic, inspired by fireflies-seeking behavior following their luminescence. We show that the use of more convex kernels, as those based on non-extensive entropy, is more effective at 5 % of significance level than the cross-entropy counterpart when applied in synthetic spaces for searching thresholds in global minimum
id FEI_34f280a41f470ad34bb1f7a352a6f602
oai_identifier_str oai:repositorio.fei.edu.br:FEI/1008
network_acronym_str FEI
network_name_str Biblioteca Digital de Teses e Dissertações da FEI
repository_id_str
spelling RODRIGUES, PauloLOPES, GuilhermeERDMANN, H. R.RIBEIRO, M. P.GIRALDI, G. A.2019-08-17T20:00:30Z2019-08-17T20:00:30Z2015RODRIGUES, Paulo; LOPES, Guilherme; ERDMANN, H. R.; RIBEIRO, M. P.; GIRALDI, G. A. Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy. Pattern Analysis and Applications (Print), v. 1, p. 1-20, 2015.1433-7541https://repositorio.fei.edu.br/handle/FEI/100810.1007/s10044-015-0450-xhttps://link.springer.com/content/pdf/10.1007%2Fs10044-015-0450-x.pdfIn this paper we show that the non-extensive Tsallis entropy, when used as kernel in the bio-inspired firefly algorithm for multi-thresholding in image segmentation, is more efficient than using the traditional crossentropy resented in the literature. The firefly algorithm is a swarm-based meta-heuristic, inspired by fireflies-seeking behavior following their luminescence. We show that the use of more convex kernels, as those based on non-extensive entropy, is more effective at 5 % of significance level than the cross-entropy counterpart when applied in synthetic spaces for searching thresholds in global minimum1120Pattern Analysis and Applications (Print)Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFirefly meta-heuristicTsallis entropyImage segmentationOptimizationinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da FEIinstname:Centro Universitário da Fundação Educacional Inaciana (FEI)instacron:FEIFEI/10082019-10-11 16:27:03.599Biblioteca Digital de Teses e Dissertaçõeshttp://sofia.fei.edu.br/pergamum/biblioteca/PRI
dc.title.pt_BR.fl_str_mv Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
title Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
spellingShingle Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
RODRIGUES, Paulo
Firefly meta-heuristic
Tsallis entropy
Image segmentation
Optimization
title_short Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
title_full Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
title_fullStr Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
title_full_unstemmed Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
title_sort Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy
author RODRIGUES, Paulo
author_facet RODRIGUES, Paulo
LOPES, Guilherme
ERDMANN, H. R.
RIBEIRO, M. P.
GIRALDI, G. A.
author_role author
author2 LOPES, Guilherme
ERDMANN, H. R.
RIBEIRO, M. P.
GIRALDI, G. A.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv RODRIGUES, Paulo
LOPES, Guilherme
ERDMANN, H. R.
RIBEIRO, M. P.
GIRALDI, G. A.
dc.subject.eng.fl_str_mv Firefly meta-heuristic
Tsallis entropy
Image segmentation
Optimization
topic Firefly meta-heuristic
Tsallis entropy
Image segmentation
Optimization
description In this paper we show that the non-extensive Tsallis entropy, when used as kernel in the bio-inspired firefly algorithm for multi-thresholding in image segmentation, is more efficient than using the traditional crossentropy resented in the literature. The firefly algorithm is a swarm-based meta-heuristic, inspired by fireflies-seeking behavior following their luminescence. We show that the use of more convex kernels, as those based on non-extensive entropy, is more effective at 5 % of significance level than the cross-entropy counterpart when applied in synthetic spaces for searching thresholds in global minimum
publishDate 2015
dc.date.issued.fl_str_mv 2015
dc.date.accessioned.fl_str_mv 2019-08-17T20:00:30Z
dc.date.available.fl_str_mv 2019-08-17T20:00:30Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv RODRIGUES, Paulo; LOPES, Guilherme; ERDMANN, H. R.; RIBEIRO, M. P.; GIRALDI, G. A. Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy. Pattern Analysis and Applications (Print), v. 1, p. 1-20, 2015.
dc.identifier.uri.fl_str_mv https://repositorio.fei.edu.br/handle/FEI/1008
dc.identifier.issn.none.fl_str_mv 1433-7541
dc.identifier.doi.none.fl_str_mv 10.1007/s10044-015-0450-x
dc.identifier.url.none.fl_str_mv https://link.springer.com/content/pdf/10.1007%2Fs10044-015-0450-x.pdf
identifier_str_mv RODRIGUES, Paulo; LOPES, Guilherme; ERDMANN, H. R.; RIBEIRO, M. P.; GIRALDI, G. A. Improving a firefly meta-heuristic for multilevel image segmentation using Tsallis entropy. Pattern Analysis and Applications (Print), v. 1, p. 1-20, 2015.
1433-7541
10.1007/s10044-015-0450-x
url https://repositorio.fei.edu.br/handle/FEI/1008
https://link.springer.com/content/pdf/10.1007%2Fs10044-015-0450-x.pdf
dc.relation.ispartof.none.fl_str_mv Pattern Analysis and Applications (Print)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da FEI
instname:Centro Universitário da Fundação Educacional Inaciana (FEI)
instacron:FEI
instname_str Centro Universitário da Fundação Educacional Inaciana (FEI)
instacron_str FEI
institution FEI
reponame_str Biblioteca Digital de Teses e Dissertações da FEI
collection Biblioteca Digital de Teses e Dissertações da FEI
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1734750991516958720

Registros relacionados