Watershed framework to region-based image segmentation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2008 |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/10198/1826 |
Resumo: | Indexado ISI. |
id |
RCAP_35d3a1106bd2da9958e2fb15eaccfcfd |
---|---|
oai_identifier_str |
oai:bibliotecadigital.ipb.pt:10198/1826 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Watershed framework to region-based image segmentationImage segmentationWatershedHybrid methodsIndexado ISI.This 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.IEEEBiblioteca Digital do IPBMonteiro, Fernando C.2010-02-10T12:24:44Z20082008-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/1826engMonteiro, 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 978-1-4244-2174-9978-1-4244-2174-91051-4651info: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:10198/1826Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:17:00.831306Repositórios 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 |
Watershed framework to region-based image segmentation |
title |
Watershed framework to region-based image segmentation |
spellingShingle |
Watershed framework to region-based image segmentation Monteiro, Fernando C. Image segmentation Watershed Hybrid methods |
title_short |
Watershed framework to region-based image segmentation |
title_full |
Watershed framework to region-based image segmentation |
title_fullStr |
Watershed framework to region-based image segmentation |
title_full_unstemmed |
Watershed framework to region-based image segmentation |
title_sort |
Watershed framework to region-based 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 Watershed Hybrid methods |
topic |
Image segmentation Watershed Hybrid methods |
description |
Indexado ISI. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008 2008-01-01T00:00:00Z 2010-02-10T12:24:44Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/1826 |
url |
http://hdl.handle.net/10198/1826 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Monteiro, 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 978-1-4244-2174-9 978-1-4244-2174-9 1051-4651 |
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 |
IEEE |
publisher.none.fl_str_mv |
IEEE |
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_ |
1833591759349743616 |