HTS: A new shape descriptor based on Hough Transform

Detalhes bibliográficos
Autor(a) principal: De Souza, Gustavo Botelho [UNESP]
Data de Publicação: 2013
Outros Autores: Marana, Aparecido Nilceu [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISCAS.2013.6572011
http://hdl.handle.net/11449/76536
Resumo: In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental results showed that the HTS descriptor is robust and presents better accuracy than some traditional shape description methods. Furthermore, HTS algorithm has linear complexity, which is an important requirement for content based image retrieval from large databases. © 2013 IEEE.
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spelling HTS: A new shape descriptor based on Hough TransformContent based image retrievalDigital imageLarge databaseLinear complexityShape analysisShape descriptionShape descriptorsTransform statisticsHough transformsIn this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental results showed that the HTS descriptor is robust and presents better accuracy than some traditional shape description methods. Furthermore, HTS algorithm has linear complexity, which is an important requirement for content based image retrieval from large databases. © 2013 IEEE.Department of Computing Faculty of Sciences UNESP-Univ Estadual Paulista, Bauru, SP, 7033-360Department of Computing Faculty of Sciences UNESP-Univ Estadual Paulista, Bauru, SP, 7033-360Universidade Estadual Paulista (Unesp)De Souza, Gustavo Botelho [UNESP]Marana, Aparecido Nilceu [UNESP]2014-05-27T11:30:41Z2014-05-27T11:30:41Z2013-09-09info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject974-977http://dx.doi.org/10.1109/ISCAS.2013.6572011Proceedings - IEEE International Symposium on Circuits and Systems, p. 974-977.0271-4310http://hdl.handle.net/11449/7653610.1109/ISCAS.2013.6572011WOS:0003320068010562-s2.0-848834134266027713750942689Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - IEEE International Symposium on Circuits and Systems0,237info:eu-repo/semantics/openAccess2024-04-23T16:11:26Zoai:repositorio.unesp.br:11449/76536Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-23T16:11:26Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv HTS: A new shape descriptor based on Hough Transform
title HTS: A new shape descriptor based on Hough Transform
spellingShingle HTS: A new shape descriptor based on Hough Transform
De Souza, Gustavo Botelho [UNESP]
Content based image retrieval
Digital image
Large database
Linear complexity
Shape analysis
Shape description
Shape descriptors
Transform statistics
Hough transforms
title_short HTS: A new shape descriptor based on Hough Transform
title_full HTS: A new shape descriptor based on Hough Transform
title_fullStr HTS: A new shape descriptor based on Hough Transform
title_full_unstemmed HTS: A new shape descriptor based on Hough Transform
title_sort HTS: A new shape descriptor based on Hough Transform
author De Souza, Gustavo Botelho [UNESP]
author_facet De Souza, Gustavo Botelho [UNESP]
Marana, Aparecido Nilceu [UNESP]
author_role author
author2 Marana, Aparecido Nilceu [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv De Souza, Gustavo Botelho [UNESP]
Marana, Aparecido Nilceu [UNESP]
dc.subject.por.fl_str_mv Content based image retrieval
Digital image
Large database
Linear complexity
Shape analysis
Shape description
Shape descriptors
Transform statistics
Hough transforms
topic Content based image retrieval
Digital image
Large database
Linear complexity
Shape analysis
Shape description
Shape descriptors
Transform statistics
Hough transforms
description In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental results showed that the HTS descriptor is robust and presents better accuracy than some traditional shape description methods. Furthermore, HTS algorithm has linear complexity, which is an important requirement for content based image retrieval from large databases. © 2013 IEEE.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-09
2014-05-27T11:30:41Z
2014-05-27T11:30:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ISCAS.2013.6572011
Proceedings - IEEE International Symposium on Circuits and Systems, p. 974-977.
0271-4310
http://hdl.handle.net/11449/76536
10.1109/ISCAS.2013.6572011
WOS:000332006801056
2-s2.0-84883413426
6027713750942689
url http://dx.doi.org/10.1109/ISCAS.2013.6572011
http://hdl.handle.net/11449/76536
identifier_str_mv Proceedings - IEEE International Symposium on Circuits and Systems, p. 974-977.
0271-4310
10.1109/ISCAS.2013.6572011
WOS:000332006801056
2-s2.0-84883413426
6027713750942689
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - IEEE International Symposium on Circuits and Systems
0,237
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 974-977
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965234705727488

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