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dc.contributor.authorAlbert, Francisco
dc.contributor.authorGomis, J. M.
dc.contributor.authorBlasco, José
dc.contributor.authorValiente, José Miguel
dc.contributor.authorAleixos, Nuria
dc.date.accessioned2017-06-01T10:11:57Z
dc.date.available2017-06-01T10:11:57Z
dc.date.issued2015
dc.identifier.citationAlbert, F., Gomis, J.M., Blasco, J., Valiente, J.M., Aleixos, N. (2015). A new method to analyse mosaics based on Symmetry Group theory applied to Islamic Geometric Patterns. Computer Vision and Image Understanding, 130, 54-70.
dc.identifier.issn1077-3142
dc.identifier.urihttp://hdl.handle.net/20.500.11939/5243
dc.description.abstractThis article presents a new method for analysing mosaics based on the mathematical principles of Symmetry Groups. This method has been developed to get the understanding present in patterns by extracting the objects that form them, their lattice, and the Wallpaper Group. The main novelty of this method resides in the creation of a higher level of knowledge based on objects, which makes it possible to classify the objects, to extract their main features (Point Group, principal axes, etc.), and the relationships between them. In order to validate the method, several tests were carried out on a set of Islamic Geometric Patterns from different sources, for which the Wallpaper Group has been successfully obtained in 85% of the cases. This method can be applied to any kind of pattern that presents a Wallpaper Group. Possible applications of this computational method include pattern classification, cataloguing of ceramic coatings, creating databases of decorative patterns, creating pattern designs, pattern comparison between different cultures, tile cataloguing, and so on.
dc.language.isoen
dc.titleA new method to analyse mosaics based on Symmetry Group theory applied to Islamic Geometric Patternsen
dc.typearticle
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.date.issuedFreeFormJAN 2015
dc.entidadIVIACentro de Agroingeniería
dc.identifier.doi10.1016/j.cviu.2014.09.002
dc.identifier.urlhttps://www.sciencedirect.com/science/article/abs/pii/S1077314214001842?via%3Dihub
dc.journal.abbreviatedTitleComput.Vision Image Understanding
dc.journal.titleComputer Vision and Image Understanding
dc.journal.volumeNumber130
dc.page.final70
dc.page.initial54
dc.rights.accessRightsopenAccess
dc.source.typeImpreso
dc.type.hasVersionacceptedVersion


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