Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane

Autores
Zunino, Luciano José; Ribeiro, Haroldo V.
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between different roughness features of images at small and large spatial scales. Numerically generated two-dimensional structures are initially considered for illustrating basic concepts in a controlled framework. Then, more realistic situations are studied. Obtained results allow us to confirm that intrinsic spatial correlations of images are successfully unveiled by implementing this multiscale symbolic information-theory approach. Consequently, we conclude that the proposed representation space is a versatile and practical tool for identifying, characterizing and discriminating image textures.
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina
Fil: Ribeiro, Haroldo V.. Universidade Estadual de Maringá; Brasil
Materia
Complexity
Entropy
Multiscale Analysis
Ordinal Patterns Probabilities
Roughness
Texture Images
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/49263
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/49263
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Discriminating image textures with the multiscale two-dimensional complexity-entropy causality planeZunino, Luciano JoséRibeiro, Haroldo V.ComplexityEntropyMultiscale AnalysisOrdinal Patterns ProbabilitiesRoughnessTexture Imageshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between different roughness features of images at small and large spatial scales. Numerically generated two-dimensional structures are initially considered for illustrating basic concepts in a controlled framework. Then, more realistic situations are studied. Obtained results allow us to confirm that intrinsic spatial correlations of images are successfully unveiled by implementing this multiscale symbolic information-theory approach. Consequently, we conclude that the proposed representation space is a versatile and practical tool for identifying, characterizing and discriminating image textures.Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; ArgentinaFil: Ribeiro, Haroldo V.. Universidade Estadual de Maringá; BrasilPergamon-Elsevier Science Ltd2016-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/49263Zunino, Luciano José; Ribeiro, Haroldo V.; Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane; Pergamon-Elsevier Science Ltd; Chaos, Solitons And Fractals; 91; 10-2016; 679-6880960-0779CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.chaos.2016.09.005info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0960077916302570info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:34:29Zoai:ri.conicet.gov.ar:11336/49263instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:34:29.396CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
title Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
spellingShingle Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
Zunino, Luciano José
Complexity
Entropy
Multiscale Analysis
Ordinal Patterns Probabilities
Roughness
Texture Images
title_short Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
title_full Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
title_fullStr Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
title_full_unstemmed Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
title_sort Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
dc.creator.none.fl_str_mv Zunino, Luciano José
Ribeiro, Haroldo V.
author Zunino, Luciano José
author_facet Zunino, Luciano José
Ribeiro, Haroldo V.
author_role author
author2 Ribeiro, Haroldo V.
author2_role author
dc.subject.none.fl_str_mv Complexity
Entropy
Multiscale Analysis
Ordinal Patterns Probabilities
Roughness
Texture Images
topic Complexity
Entropy
Multiscale Analysis
Ordinal Patterns Probabilities
Roughness
Texture Images
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between different roughness features of images at small and large spatial scales. Numerically generated two-dimensional structures are initially considered for illustrating basic concepts in a controlled framework. Then, more realistic situations are studied. Obtained results allow us to confirm that intrinsic spatial correlations of images are successfully unveiled by implementing this multiscale symbolic information-theory approach. Consequently, we conclude that the proposed representation space is a versatile and practical tool for identifying, characterizing and discriminating image textures.
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina
Fil: Ribeiro, Haroldo V.. Universidade Estadual de Maringá; Brasil
description The aim of this paper is to further explore the usefulness of the two-dimensional complexity-entropy causality plane as a texture image descriptor. A multiscale generalization is introduced in order to distinguish between different roughness features of images at small and large spatial scales. Numerically generated two-dimensional structures are initially considered for illustrating basic concepts in a controlled framework. Then, more realistic situations are studied. Obtained results allow us to confirm that intrinsic spatial correlations of images are successfully unveiled by implementing this multiscale symbolic information-theory approach. Consequently, we conclude that the proposed representation space is a versatile and practical tool for identifying, characterizing and discriminating image textures.
publishDate 2016
dc.date.none.fl_str_mv 2016-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/49263
Zunino, Luciano José; Ribeiro, Haroldo V.; Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane; Pergamon-Elsevier Science Ltd; Chaos, Solitons And Fractals; 91; 10-2016; 679-688
0960-0779
CONICET Digital
CONICET
url http://hdl.handle.net/11336/49263
identifier_str_mv Zunino, Luciano José; Ribeiro, Haroldo V.; Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane; Pergamon-Elsevier Science Ltd; Chaos, Solitons And Fractals; 91; 10-2016; 679-688
0960-0779
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.chaos.2016.09.005
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0960077916302570
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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