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An Image Segmentation Procedure Based on the Superposition Principle of Quantum Mechanics

datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorMartins-Ferreira, Nelson
dc.date.accessioned2026-01-16T15:00:12Z
dc.date.available2026-01-16T15:00:12Z
dc.date.issued2017
dc.description.abstractIn this paper we propose a procedural approach to the problem of image segmentation. This procedural approach may be parameterized with optimized values for a specific type of data. It uses an algorithm which is inspired by the superposition principle of Quantum Mechanics, in the sense that each particular pixel has a certain probability of being of a certain type (boundary, interior, exterior or noise) and only when an observation is made, by means of choosing a designated threshold value, it gets a concrete state. The procedure is applied to a particular example of vessels network and we determine its maximum length dividing the total area by an average vessel thickness.eng
dc.description.sponsorshipThe image file 'Image_2162_1.tif' was kindly provided by Barbara Klotz during her visit, also in the aim of the Skelgen project, to the CREATE research group in the Faculty of Medicine at Otago University - Christchurch, New Zealand. Apart from the European project SkelGen, this research work was supported by the Portuguese Foundation for Science and Technology (FCT) through the Project reference UID/ Multi/04044/2013, and also by CDRSP and ESTG from the Polytechnic Institute of Leiria.
dc.identifier.citationNelson Martins-Ferreira, An Image Segmentation Procedure Based on the Superposition Principle of Quantum Mechanics, Procedia Manufacturing, Volume 12, 2017, Pages 249-262, ISSN 2351-9789, https://doi.org/10.1016/j.promfg.2017.08.029
dc.identifier.doi10.1016/j.promfg.2017.08.029
dc.identifier.issn2351-9789
dc.identifier.urihttp://hdl.handle.net/10400.8/15370
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relationCentre for Rapid and Sustainable Product Development
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S2351978917306182
dc.relation.ispartofProcedia Manufacturing
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectImage segmentation
dc.subjectsuperposition principle
dc.subjecttotal length of a networkwith average constant thickness
dc.titleAn Image Segmentation Procedure Based on the Superposition Principle of Quantum Mechanicseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Rapid and Sustainable Product Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04044%2F2013/PT
oaire.citation.endPage262
oaire.citation.startPage249
oaire.citation.titleProcedia Manufacturing
oaire.citation.volume12
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMartins-Ferreira
person.givenNameNelson
person.identifier485301
person.identifier.ciencia-idB115-B65E-24AA
person.identifier.orcid0000-0002-4199-7367
person.identifier.ridN-1699-2013
person.identifier.scopus-author-id24598020700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication52406f6a-2c36-4e9a-9996-d3cc719d46bf
relation.isAuthorOfPublication.latestForDiscovery52406f6a-2c36-4e9a-9996-d3cc719d46bf
relation.isProjectOfPublication9c625981-b187-4078-8cb2-d84b0d21a477
relation.isProjectOfPublication.latestForDiscovery9c625981-b187-4078-8cb2-d84b0d21a477

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