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dc.creatorZunino, Luciano José-
dc.creatorRibeiro, Haroldo V.-
dc.date2018-06-19T15:38:29Z-
dc.date2018-06-19T15:38:29Z-
dc.date2016-10-
dc.date2018-06-18T21:20:53Z-
dc.date.accessioned2019-04-29T15:35:03Z-
dc.date.available2019-04-29T15:35:03Z-
dc.date.issued2018-06-19T15:38:29Z-
dc.date.issued2018-06-19T15:38:29Z-
dc.date.issued2016-10-
dc.date.issued2018-06-18T21:20:53Z-
dc.identifierZunino, 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-
dc.identifier0960-0779-
dc.identifierhttp://hdl.handle.net/11336/49263-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/297165-
dc.descriptionThe 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.-
dc.descriptionFil: 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-
dc.descriptionFil: Ribeiro, Haroldo V.. Universidade Estadual de Maringá; Brasil-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherPergamon-Elsevier Science Ltd-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chaos.2016.09.005-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0960077916302570-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectCOMPLEXITY-
dc.subjectENTROPY-
dc.subjectMULTISCALE ANALYSIS-
dc.subjectORDINAL PATTERNS PROBABILITIES-
dc.subjectROUGHNESS-
dc.subjectTEXTURE IMAGES-
dc.subjectAstronomía-
dc.subjectCiencias Físicas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleDiscriminating image textures with the multiscale two-dimensional complexity-entropy causality plane-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: CONICET

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