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dc.contributor.author | García Mollá, Víctor Manuel | es_ES |
dc.contributor.author | Alonso-Jordá, Pedro | es_ES |
dc.date.accessioned | 2024-01-08T19:02:35Z | |
dc.date.available | 2024-01-08T19:02:35Z | |
dc.date.issued | 2023-01 | es_ES |
dc.identifier.issn | 0920-8542 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/201614 | |
dc.description.abstract | [EN] Border tracking in binary images is an important operation in many computer vision applications. The problem consists in finding borders in a 2D binary image (where all of the pixels are either 0 or 1). There are several algorithms available for this problem, but most of them are sequential. In a former paper, a parallel border tracking algorithm was proposed. This algorithm was designed to run in Graphics Processing units, and it was based on the sequential algorithm known as the Suzuki algorithm. In this paper, we adapt the previously proposed GPU algorithm so that it can be executed in multicore computers. The resulting algorithm is evaluated against its GPU counterpart. The results show that the performance of the GPU algorithm worsens (or even fails) for very large images or images with many borders. On the other hand, the proposed multicore algorithm can efficiently cope with large images. | es_ES |
dc.description.sponsorship | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been partially supported by the Spanish Ministry of Science, Innovation, and Universities, jointly with the European Union, through Grants RTI2018-098085-BC41, PID2021-125736OB-I00 and PID2020-113656RB-C22 (MCIN/AEI/10.13039/501100011033/, "ERDF A way of making Europe"). Also, the GVA has partially supported this research through project PROMETEO/2019/109. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer-Verlag | es_ES |
dc.relation.ispartof | The Journal of Supercomputing | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Border tracking | es_ES |
dc.subject | Computer vision | es_ES |
dc.subject | Parallel computing | es_ES |
dc.subject | GPU computing | es_ES |
dc.subject | OpenMP | es_ES |
dc.subject | Multicore computing | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.title | Parallel border tracking in binary images for multicore computers | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s11227-023-05052-2 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113656RB-C22/ES/COMPUTACION Y COMUNICACIONES DE ALTAS PRESTACIONES CONSCIENTES DEL CONSUMO ENERGETICO. APLICACIONES AL APRENDIZAJE PROFUNDO COMPUTACIONAL - UPV/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098085-B-C41/ES/DYNAMIC ACOUSTIC NETWORKS FOR CHANGING ENVIRONMENTS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2019%2F109//COMUNICACION Y COMPUTACION INTELIGENTES Y SOCIALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2021-125736OB-I00//ADAPTIVE SOUND-PROCESSING TECHNOLOGIES FOR SOUNDFIELD DEPLOYMENT: ALGORITHMS, TOOLS AND TEST BEDS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | García Mollá, VM.; Alonso-Jordá, P. (2023). Parallel border tracking in binary images for multicore computers. The Journal of Supercomputing. 79:9915-9931. https://doi.org/10.1007/s11227-023-05052-2 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/s11227-023-05052-2 | es_ES |
dc.description.upvformatpinicio | 9915 | es_ES |
dc.description.upvformatpfin | 9931 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 79 | es_ES |
dc.relation.pasarela | S\490833 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |