dc.creator | Peng, Hong | es |
dc.creator | Wang, Jun | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2021-07-21T09:22:47Z | |
dc.date.available | 2021-07-21T09:22:47Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Peng, H., Wang, J. y Pérez Jiménez, M.d.J. (2015). Optimal multi-level thresholding with membrane computing. Digital Signal Processing, 37 (February 2015), 53-64. | |
dc.identifier.issn | 1051-2004 | es |
dc.identifier.uri | https://hdl.handle.net/11441/116326 | |
dc.description.abstract | The conventional methods are not effective and efficient for image multi-level thresholding due to time-consuming and expensive computation cost. The multi-level thresholding problem can be posed as anoptimization problem, optimizing some thresholding criterion. In this paper, membrane computing isintroduced to propose an efficient and robust multi-level thresholding method, where a cell-like P systemwith the nested structure of three layers is designed as its computing framework. Moreover, an improvedvelocity-position model is developed to evolve the objects in membranes based on the special membranestructure and communication mechanism of objects. Under the control of evolution-communicationmechanism of objects, the cell-like P system can efficiently exploit the best multi-level thresholds for animage. Simulation experiments on nine standard images compare the proposed multi-level thresholdingmethod with several state-of-the-art multi-level thresholding methods and demonstrate its superiority. | es |
dc.description.sponsorship | National Natural Science Foundation of China No. 61170030 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China No. Z2012025 | es |
dc.description.sponsorship | Chunhui Project Foundation of the Education Department of China No. Z2012031 | es |
dc.description.sponsorship | Research Fund of Sichuan Key Technology Research and Development Program No. 2013GZX0155 | es |
dc.description.sponsorship | Open Research Funds of Key Laboratory of High Performance Scientific Computing No. SZJJ2012-002 | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Digital Signal Processing, 37 (February 2015), 53-64. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Membrane Computing | es |
dc.subject | Cell-like P systems | es |
dc.subject | Image segmentation | es |
dc.subject | Multi-level thresholding | es |
dc.subject | Histogram | es |
dc.title | Optimal multi-level thresholding with membrane computing | 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 Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | No. 61170030 | es |
dc.relation.projectID | No. Z2012025 | es |
dc.relation.projectID | No. Z2012031 | es |
dc.relation.projectID | No. 2013GZX0155 | es |
dc.relation.projectID | No. SZJJ2012-002 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1051200414003157 | es |
dc.identifier.doi | 10.1016/j.dsp.2014.10.006 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.journaltitle | Digital Signal Processing | es |
dc.publication.volumen | 37 | es |
dc.publication.issue | February 2015 | es |
dc.publication.initialPage | 53 | es |
dc.publication.endPage | 64 | es |
dc.identifier.sisius | 20834913 | es |
dc.contributor.funder | National Natural Science Foundation of China | es |
dc.contributor.funder | Chunhui Project Foundation of the Education Department of China | es |
dc.contributor.funder | Research Fund of Sichuan Key Technology Research and Development Program | es |
dc.contributor.funder | Open Research Funds of Key Laboratory of High Performance Scientific Computing, China | es |