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

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. Nume...

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Detalles Bibliográficos
Autores principales: Zunino, Luciano José, Ribeiro, Haroldo V.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2016
Materias:
Ingeniería
Texture images
Roughness
Entropy
Complexity
Ordinal patterns probabilities
Multiscale analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/130624
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-130624
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
Texture images
Roughness
Entropy
Complexity
Ordinal patterns probabilities
Multiscale analysis
spellingShingle Ingeniería
Texture images
Roughness
Entropy
Complexity
Ordinal patterns probabilities
Multiscale analysis
Zunino, Luciano José
Ribeiro, Haroldo V.
Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
topic_facet Ingeniería
Texture images
Roughness
Entropy
Complexity
Ordinal patterns probabilities
Multiscale analysis
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.
format Articulo
Articulo
author Zunino, Luciano José
Ribeiro, Haroldo V.
author_facet Zunino, Luciano José
Ribeiro, Haroldo V.
author_sort Zunino, Luciano José
title Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
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
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/130624
work_keys_str_mv AT zuninolucianojose discriminatingimagetextureswiththemultiscaletwodimensionalcomplexityentropycausalityplane
AT ribeiroharoldov discriminatingimagetextureswiththemultiscaletwodimensionalcomplexityentropycausalityplane
bdutipo_str Repositorios
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