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Watershed framework to region-based image segmentation

dc.contributor.authorMonteiro, Fernando C.
dc.date.accessioned2010-02-10T12:24:44Z
dc.date.available2010-02-10T12:24:44Z
dc.date.issued2008
dc.descriptionIndexado ISI.pt
dc.description.abstractThis paper proposes a new framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersheds. A pre-processing step is used to reduce the spatial resolution without losing important image information. An initial partitioning of the image into primitive regions is set by applying a rainfalling watershed algorithm on the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. The latter process uses a region-based similarity graph representation of the image regions. The experimental results clearly demonstrate the effectiveness of the proposed approach to produce simpler segmentations and to compare favourably with state-of-the-art methods.pt
dc.identifier.citationMonteiro, Fernando C. (2008). Watershed framework to region-based image segmentation. In 19th IEEE International Conference on Pattern Recognition. Tampa, Florida, USA . p.1-4. ISBN 978-1-4244-2174-9pt
dc.identifier.isbn978-1-4244-2174-9
dc.identifier.issn1051-4651
dc.identifier.urihttp://hdl.handle.net/10198/1826
dc.language.isoengpt
dc.publisherIEEEpt
dc.subjectImage segmentationpt
dc.subjectWatershedpt
dc.subjectHybrid methodspt
dc.titleWatershed framework to region-based image segmentationpt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceTampa, Florida, USApt
oaire.citation.endPage4pt
oaire.citation.startPage1pt
oaire.citation.title19th IEEE International Conference on Pattern Recognition, ICPR 2008pt
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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