Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47346
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dc.contributor.authorPanigrahy, Chinmayaen_US
dc.contributor.authorGarcia-Pedrero, Angelen_US
dc.contributor.authorSeal, Ayanen_US
dc.contributor.authorRodríguez-Esparragón, Dionisioen_US
dc.contributor.authorMahato, Nihar Kumaren_US
dc.contributor.authorGonzalo Martin,Consueloen_US
dc.date.accessioned2018-11-23T12:49:33Z-
dc.date.available2018-11-23T12:49:33Z-
dc.date.issued2017en_US
dc.identifier.issn1099-4300en_US
dc.identifier.urihttp://hdl.handle.net/10553/47346-
dc.description.abstractThe Fractal Dimension (FD) of an image defines the roughness using a real number which is highly associated with the human perception of surface roughness. It has been applied successfully for many computer vision applications such as texture analysis, segmentation and classification. Several techniques can be found in literature to estimate FD. One such technique is Differential Box Counting (DBC). Its performance is influenced by many parameters. In particular, the box height is directly related to the gray-level variations over image grid, which badly affects the performance of DBC. In this work, a new method for estimating box height is proposed without changing the other parameters of DBC. The proposed box height has been determined empirically and depends only on the image size. All the experiments have been performed on simulated Fractal Brownian Motion (FBM) Database and Brodatz Database. It has been proved experimentally that the proposed box height allow to improve the performance of DBC, Shifting DBC, Improved DBC and Improved Triangle DBC, which are closer to actual FD values of the simulated FBM images.en_US
dc.languageengen_US
dc.relation.ispartofEntropyen_US
dc.sourceEntropy [eISSN 1099-4300],v. 19 (534)en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherFractal Dimensionen_US
dc.subject.otherDfferential Box Countingen_US
dc.subject.otherBox heighten_US
dc.subject.otherFractal Brownian Motionen_US
dc.subject.otherBrodatz Databaseen_US
dc.titleAn approximated box height for Differential-Box-Counting method to estimate fractal dimensions of gray-scale imagesen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/e19100534en_US
dc.identifier.scopus85031897536-
dc.contributor.authorscopusid57196121007-
dc.contributor.authorscopusid36056581100-
dc.contributor.authorscopusid54898238300-
dc.contributor.authorscopusid56422496000-
dc.contributor.authorscopusid55643134300-
dc.contributor.authorscopusid36561411500-
dc.identifier.issue534-
dc.relation.volume19en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.identifier.ulpgces
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptIOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4542-2501-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameRodríguez Esparragón, Dionisio-
crisitem.author.fullNameGonzalo Martin,Consuelo-
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