Image segmentation using morphological tools
Resumen:
In this work we study the extraction of semantic objects from images together with a metric that ranks them according to their perceptual significance. To obtain an initial segmentation we use elements of mathematical morphology (level sets and level lines) and some properties such as T-junctions, contrast and compactness. Then, to refine the initial partition we apply regularization techniques and a standard merging algorithm. Finally, we compute a perceptual metric using factors that influence our perception.
2002 | |
Image segmentation Morphological tools Perceptual metric |
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Inglés | |
Universidad de la República | |
COLIBRI | |
https://hdl.handle.net/20.500.12008/21221 | |
Acceso abierto | |
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
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author | Pardo, Alvaro |
author_facet | Pardo, Alvaro |
author_role | author |
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collection | COLIBRI |
dc.creator.none.fl_str_mv | Pardo, Alvaro |
dc.date.accessioned.none.fl_str_mv | 2019-07-03T16:36:05Z |
dc.date.available.none.fl_str_mv | 2019-07-03T16:36:05Z |
dc.date.issued.es.fl_str_mv | 2002 |
dc.date.submitted.es.fl_str_mv | 20190703 |
dc.description.abstract.none.fl_txt_mv | In this work we study the extraction of semantic objects from images together with a metric that ranks them according to their perceptual significance. To obtain an initial segmentation we use elements of mathematical morphology (level sets and level lines) and some properties such as T-junctions, contrast and compactness. Then, to refine the initial partition we apply regularization techniques and a standard merging algorithm. Finally, we compute a perceptual metric using factors that influence our perception. |
dc.description.es.fl_txt_mv | Trabajo presentado en el 8o. Congreso Argentino de Ciencias de la Computación, 2002 |
dc.identifier.citation.es.fl_str_mv | Pardo, A. Image segmentation using morphological tools [en línea]. 8o. Congreso Argentino de Ciencias de la Computación, 2002 |
dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/21221 |
dc.language.iso.none.fl_str_mv | en eng |
dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
dc.subject.es.fl_str_mv | Image segmentation Morphological tools Perceptual metric |
dc.title.none.fl_str_mv | Image segmentation using morphological tools |
dc.type.es.fl_str_mv | Artículo |
dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
description | Trabajo presentado en el 8o. Congreso Argentino de Ciencias de la Computación, 2002 |
eu_rights_str_mv | openAccess |
format | article |
id | COLIBRI_5dcebe19b71474fa5fc5f140d5eb0e4c |
identifier_str_mv | Pardo, A. Image segmentation using morphological tools [en línea]. 8o. Congreso Argentino de Ciencias de la Computación, 2002 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/21221 |
publishDate | 2002 |
reponame_str | COLIBRI |
repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
repository.name.fl_str_mv | COLIBRI - Universidad de la República |
repository_id_str | 4771 |
rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
spelling | 2019-07-03T16:36:05Z2019-07-03T16:36:05Z200220190703Pardo, A. Image segmentation using morphological tools [en línea]. 8o. Congreso Argentino de Ciencias de la Computación, 2002https://hdl.handle.net/20.500.12008/21221Trabajo presentado en el 8o. Congreso Argentino de Ciencias de la Computación, 2002In this work we study the extraction of semantic objects from images together with a metric that ranks them according to their perceptual significance. To obtain an initial segmentation we use elements of mathematical morphology (level sets and level lines) and some properties such as T-junctions, contrast and compactness. Then, to refine the initial partition we apply regularization techniques and a standard merging algorithm. Finally, we compute a perceptual metric using factors that influence our perception.Made available in DSpace on 2019-07-03T16:36:05Z (GMT). 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- Universidad de la Repúblicafalse |
spellingShingle | Image segmentation using morphological tools Pardo, Alvaro Image segmentation Morphological tools Perceptual metric |
status_str | publishedVersion |
title | Image segmentation using morphological tools |
title_full | Image segmentation using morphological tools |
title_fullStr | Image segmentation using morphological tools |
title_full_unstemmed | Image segmentation using morphological tools |
title_short | Image segmentation using morphological tools |
title_sort | Image segmentation using morphological tools |
topic | Image segmentation Morphological tools Perceptual metric |
url | https://hdl.handle.net/20.500.12008/21221 |