Image segmentation using morphological tools
- Autores
- Pardo, Álvaro
- Año de publicación
- 2002
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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.
Eje: Aprendizaje y reconocimiento de patrones
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Image segmentation
morphological tools
perceptual metric
Tools
Metrics
Algorithms - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/22984
Ver los metadatos del registro completo
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Image segmentation using morphological toolsPardo, ÁlvaroCiencias InformáticasImage segmentationmorphological toolsperceptual metricToolsMetricsAlgorithmsIn 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.Eje: Aprendizaje y reconocimiento de patronesRed de Universidades con Carreras en Informática (RedUNCI)2002-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf762-773http://sedici.unlp.edu.ar/handle/10915/22984enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:16Zoai:sedici.unlp.edu.ar:10915/22984Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:16.98SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Image segmentation using morphological tools |
| title |
Image segmentation using morphological tools |
| spellingShingle |
Image segmentation using morphological tools Pardo, Álvaro Ciencias Informáticas Image segmentation morphological tools perceptual metric Tools Metrics Algorithms |
| title_short |
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_sort |
Image segmentation using morphological tools |
| dc.creator.none.fl_str_mv |
Pardo, Álvaro |
| author |
Pardo, Álvaro |
| author_facet |
Pardo, Álvaro |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Image segmentation morphological tools perceptual metric Tools Metrics Algorithms |
| topic |
Ciencias Informáticas Image segmentation morphological tools perceptual metric Tools Metrics Algorithms |
| dc.description.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. Eje: Aprendizaje y reconocimiento de patrones Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
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. |
| publishDate |
2002 |
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2002-10 |
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info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
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http://sedici.unlp.edu.ar/handle/10915/22984 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
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application/pdf 762-773 |
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