Semantic image segmentation using morphological tools
Resumen:
In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we extract the ones that contain T-junctions, have compact form, and are wellcontrasted to obtain the semantic objects in the scene. For all these factors, we establish an estimation procedure.
| 2002 | |
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Image segmentation Morphological tools Image databases |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/21220 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| _version_ | 1807522893912866816 |
|---|---|
| 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 | 2019-07-03T16:36:04Z |
| dc.date.available.none.fl_str_mv | 2019-07-03T16:36:04Z |
| 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 using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we extract the ones that contain T-junctions, have compact form, and are wellcontrasted to obtain the semantic objects in the scene. For all these factors, we establish an estimation procedure. |
| dc.description.es.fl_txt_mv | Postprint |
| dc.identifier.citation.es.fl_str_mv | Pardo, A. Semantic image segmentation using morphological tools [en línea] Proceedings. International Conference on Image Processing, 2002. doi 10.1109/ICIP.2002.1040058 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/21220 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | IEEE |
| 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 Image databases |
| dc.title.none.fl_str_mv | Semantic 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 | Postprint |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_ab2c0bd2522bb9fa93150cb1787c0859 |
| identifier_str_mv | Pardo, A. Semantic image segmentation using morphological tools [en línea] Proceedings. International Conference on Image Processing, 2002. doi 10.1109/ICIP.2002.1040058 |
| 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:20.500.12008/21220 |
| 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 | 2019-07-03T16:36:04Z2019-07-03T16:36:04Z200220190703Pardo, A. Semantic image segmentation using morphological tools [en línea] Proceedings. International Conference on Image Processing, 2002. doi 10.1109/ICIP.2002.1040058https://hdl.handle.net/20.500.12008/21220PostprintIn this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we extract the ones that contain T-junctions, have compact form, and are wellcontrasted to obtain the semantic objects in the scene. For all these factors, we establish an estimation procedure.Made available in DSpace on 2019-07-03T16:36:04Z (GMT). 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Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)Image segmentationMorphological toolsImage databasesSemantic image segmentation using morphological toolsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaPardo, 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- Universidad de la Repúblicafalse |
| spellingShingle | Semantic image segmentation using morphological tools Pardo, Alvaro Image segmentation Morphological tools Image databases |
| status_str | publishedVersion |
| title | Semantic image segmentation using morphological tools |
| title_full | Semantic image segmentation using morphological tools |
| title_fullStr | Semantic image segmentation using morphological tools |
| title_full_unstemmed | Semantic image segmentation using morphological tools |
| title_short | Semantic image segmentation using morphological tools |
| title_sort | Semantic image segmentation using morphological tools |
| topic | Image segmentation Morphological tools Image databases |
| url | https://hdl.handle.net/20.500.12008/21220 |
