Hybrid framework to image segmentation

Bibliographic Details
Main Author: Monteiro, Fernando C.
Publication Date: 2009
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10198/2241
Summary: Indexado ISI
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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spelling Hybrid framework to image segmentationImage segmentationHybrid frameworkWatershedSpectral methodsIndexado ISIThis paper proposes a new hybrid framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersheds. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions (atomic regions), instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights between the nodes are calculated through the intensity similarities combined with the intervening contours information among atomic regions. We outline a procedure for algorithm evaluation through the comparison with some of the most popular segmentation algorithms: the mean-shift-based algorithm, a multiscale graph based segmentation method, and JSEG method for multiscale segmentation of colour and texture. Experiments on the Berkeley segmentation database indicate that the proposed segmentation framework yields better segmentation results due to its region-based representation.SpringerBiblioteca Digital do IPBMonteiro, Fernando C.2010-03-15T11:43:00Z20092009-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/2241engMonteiro, Fernando C. (2009). Hybrid Framework to Image Segmentation. IN Neural Information Processing. Berlin: Springer-Verlag. ISBN 978-3-642-10682-8. p.657-666.978-3-642-10682-80302-9743info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T11:55:26Zoai:bibliotecadigital.ipb.pt:10198/2241Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:17:01.094403Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Hybrid framework to image segmentation
title Hybrid framework to image segmentation
spellingShingle Hybrid framework to image segmentation
Monteiro, Fernando C.
Image segmentation
Hybrid framework
Watershed
Spectral methods
title_short Hybrid framework to image segmentation
title_full Hybrid framework to image segmentation
title_fullStr Hybrid framework to image segmentation
title_full_unstemmed Hybrid framework to image segmentation
title_sort Hybrid framework to image segmentation
author Monteiro, Fernando C.
author_facet Monteiro, Fernando C.
author_role author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Monteiro, Fernando C.
dc.subject.por.fl_str_mv Image segmentation
Hybrid framework
Watershed
Spectral methods
topic Image segmentation
Hybrid framework
Watershed
Spectral methods
description Indexado ISI
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2010-03-15T11:43:00Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/2241
url http://hdl.handle.net/10198/2241
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Monteiro, Fernando C. (2009). Hybrid Framework to Image Segmentation. IN Neural Information Processing. Berlin: Springer-Verlag. ISBN 978-3-642-10682-8. p.657-666.
978-3-642-10682-8
0302-9743
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833591759356035072

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