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Image segmentation using region merging combined with a multi-class spectral method

dc.contributor.authorMonteiro, Fernando C.
dc.contributor.authorCampilho, Aurélio
dc.date.accessioned2010-02-09T22:10:45Z
dc.date.available2010-02-09T22:10:45Z
dc.date.issued2007
dc.description.abstractIn this paper we propose an image segmentation algorithm that combines region merging with spectral-based techniques. An initial partitioning of the image into primitive regions is produced by applying a region merging approach which produces a chunk graph that takes in attention the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process that produces the final segmentation. The latter process uses a multi-class partition that minimizes the normalized cut value for the region graph. We have efficiently applied the proposed approach with good visual and objective segmentation quality results.pt
dc.identifier.citationMonteiro, Fernando C.; Campilho, Aurélio (2007). Image segmentation using region merging combined with a multi-class spectral method. In IAPR Conference on Machine Vision Applications, Tokyo. p.69-72. ISBN 978-4-901122-07-8pt
dc.identifier.isbn978-4-901122-07-8
dc.identifier.urihttp://hdl.handle.net/10198/1811
dc.language.isoengpt
dc.publisherMVA Conferencept
dc.relation.publisherversionhttp://www.cvl.iis.u-tokyo.ac.jp/mva/proceedings/2007CD/papers/03-11.pdfpt
dc.subjectImage segmentationpt
dc.subjectRegion mergingpt
dc.subjectSpectral methodspt
dc.titleImage segmentation using region merging combined with a multi-class spectral methodpt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceTokyo, Japanpt
oaire.citation.endPage72pt
oaire.citation.startPage69pt
oaire.citation.titleIAPR Conference on Machine Vision Applications 2007pt
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

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