dc.creator | Díaz Pernil, Daniel | es |
dc.creator | Peña Cantillana, Francisco | es |
dc.creator | Gutiérrez Naranjo, Miguel Ángel | es |
dc.date.accessioned | 2018-03-22T11:02:32Z | |
dc.date.available | 2018-03-22T11:02:32Z | |
dc.date.issued | 2013-09 | |
dc.identifier.citation | Díaz Pernil, D., Peña Cantillana, F. y Gutiérrez Naranjo, M.Á. (2013). A parallel algorithm for skeletonizing images by using spiking neural P systems. Neurocomputing, 115, 81-91. | |
dc.identifier.issn | 0925-2312 | es |
dc.identifier.uri | https://hdl.handle.net/11441/71244 | |
dc.description.abstract | Skeletonization is a common type of transformation within image analysis. In general, the image B is a skeleton of the black and white image A, if the image B is made of fewer black pixels than the image A, it does preserve its topological properties and, in some sense, keeps its meaning. In this paper, we aim to use spiking neural P systems (a computational model in the framework of membrane computing) to solve the skeletonization problem. Based on such devices, a parallel software has been implemented within the Graphics Processors Units (GPU) architecture. Some of the possible real-world applications and new lines for future research will be also dealt with in this paper. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2008-04487-E | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN-2009-13192 | es |
dc.description.sponsorship | Junta de Andalucía P08-TIC-04200 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Neurocomputing, 115, 81-91. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Spiking neural P systems | es |
dc.subject | Skeletonizing | es |
dc.subject | Membrane computing | es |
dc.subject | Guo and Hall algorithm | es |
dc.title | A parallel algorithm for skeletonizing images by using spiking neural P systems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | |
dc.relation.projectID | TIN2008-04487-E | es |
dc.relation.projectID | TIN-2009-13192 | es |
dc.relation.projectID | P08-TIC-04200 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0925231213001008 | es |
dc.identifier.doi | 10.1016/j.neucom.2012.12.032 | es |
dc.contributor.group | Universidad de Sevilla. TIC245: Topological Pattern Analysis and Recognition | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | |
idus.format.extent | 11 | es |
dc.journaltitle | Neurocomputing | es |
dc.publication.volumen | 115 | es |
dc.publication.initialPage | 81 | es |
dc.publication.endPage | 91 | es |
dc.identifier.sisius | 20551670 | es |