Curves Extraction in Images
We present a methodology for extracting processes of curves in images, using a statistical summary of the directional information given in measures of location, curvature and direction associated with the pixels that compose each curve. The main purpose is to obtain measures that serve as input for...
- Autores:
-
Martínez, Zoraida
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2015
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/66553
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66553
http://bdigital.unal.edu.co/67581/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Curvature
Detection
Energy
Feature Selection
Image Processing
Maximum
Median
Trajector
Curvatura
Detección
Máximo
Mediana
Selección de características
Procesamiento de imágenes
Trayectoria.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Martínez, Zoraidac74615a0-b5bb-4af7-8cbe-ec234b3cf6c13002019-07-03T02:21:35Z2019-07-03T02:21:35Z2015-01-01ISSN: 2389-8976https://repositorio.unal.edu.co/handle/unal/66553http://bdigital.unal.edu.co/67581/We present a methodology for extracting processes of curves in images, using a statistical summary of the directional information given in measures of location, curvature and direction associated with the pixels that compose each curve. The main purpose is to obtain measures that serve as input for the reconstruction, in vector format, of a process of curves which are of interest, so that the extracted curves can be easily stored and reconstructed based on few parameters conserving representative information of its curvature at each pixel. As starting point, the directional information obtained from a methodology of consistent curves detection is used, which includes the decomposition of the image in a directional domain contained in ℜˆ(2ˆk), with k ∈ ℵ. Basic summary measures criteria are proposed for this type of data and the application to four cases of satellite images for extraction of sections of rivers in these images are shown.Presentamos una metodología para la extracción de procesos de curvas en imágenes, mediante un resumen estadístico de la información direccional dado en medidas de localización, curvatura y dirección asociadas a los pixeles que componen cada curva. El propósito principal es obtener medidas que sirvan como insumo para la reconstrucción de los procesos de curvas que sean de interés, en formato de vector, de manera que las curvas extraídas puedan ser almacenadas fácilmente y reconstruidas en base a pocos parámetros conservando información representativa de su curvatura en cada pixel. Como punto de partida se usa la información direccional obtenida a partir de la metodología de detección consistente de curvas, la cual comprende la descomposición de la imagen en un dominio direccional contenido en R^(2^k), con k∈ N. Para este tipo de datos se proponen criterios básicos para las medidas de resumen y se muestra la aplicación a cuatro casos de imágenes satelitales para la extracción de tramos de río en dichas imágenes.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadísticahttps://revistas.unal.edu.co/index.php/estad/article/view/48815Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de EstadísticaRevista Colombiana de EstadísticaMartínez, Zoraida (2015) Curves Extraction in Images. Revista Colombiana de Estadística, 38 (1). pp. 295-320. ISSN 2389-897651 Matemáticas / Mathematics31 Colecciones de estadística general / StatisticsCurvatureDetectionEnergyFeature SelectionImage ProcessingMaximumMedianTrajectorCurvaturaDetecciónMáximoMedianaSelección de característicasProcesamiento de imágenesTrayectoria.Curves Extraction in ImagesArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL48815-239293-1-PB.pdfapplication/pdf3147580https://repositorio.unal.edu.co/bitstream/unal/66553/1/48815-239293-1-PB.pdf42c9d38c8f655fc5d400eace75e8dedfMD51THUMBNAIL48815-239293-1-PB.pdf.jpg48815-239293-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg5372https://repositorio.unal.edu.co/bitstream/unal/66553/2/48815-239293-1-PB.pdf.jpg7eb7df8a590398374ca9d7f8ba8659a1MD52unal/66553oai:repositorio.unal.edu.co:unal/665532024-05-16 23:09:45.945Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
Curves Extraction in Images |
title |
Curves Extraction in Images |
spellingShingle |
Curves Extraction in Images 51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics Curvature Detection Energy Feature Selection Image Processing Maximum Median Trajector Curvatura Detección Máximo Mediana Selección de características Procesamiento de imágenes Trayectoria. |
title_short |
Curves Extraction in Images |
title_full |
Curves Extraction in Images |
title_fullStr |
Curves Extraction in Images |
title_full_unstemmed |
Curves Extraction in Images |
title_sort |
Curves Extraction in Images |
dc.creator.fl_str_mv |
Martínez, Zoraida |
dc.contributor.author.spa.fl_str_mv |
Martínez, Zoraida |
dc.subject.ddc.spa.fl_str_mv |
51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics |
topic |
51 Matemáticas / Mathematics 31 Colecciones de estadística general / Statistics Curvature Detection Energy Feature Selection Image Processing Maximum Median Trajector Curvatura Detección Máximo Mediana Selección de características Procesamiento de imágenes Trayectoria. |
dc.subject.proposal.spa.fl_str_mv |
Curvature Detection Energy Feature Selection Image Processing Maximum Median Trajector Curvatura Detección Máximo Mediana Selección de características Procesamiento de imágenes Trayectoria. |
description |
We present a methodology for extracting processes of curves in images, using a statistical summary of the directional information given in measures of location, curvature and direction associated with the pixels that compose each curve. The main purpose is to obtain measures that serve as input for the reconstruction, in vector format, of a process of curves which are of interest, so that the extracted curves can be easily stored and reconstructed based on few parameters conserving representative information of its curvature at each pixel. As starting point, the directional information obtained from a methodology of consistent curves detection is used, which includes the decomposition of the image in a directional domain contained in ℜˆ(2ˆk), with k ∈ ℵ. Basic summary measures criteria are proposed for this type of data and the application to four cases of satellite images for extraction of sections of rivers in these images are shown. |
publishDate |
2015 |
dc.date.issued.spa.fl_str_mv |
2015-01-01 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-03T02:21:35Z |
dc.date.available.spa.fl_str_mv |
2019-07-03T02:21:35Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN: 2389-8976 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/66553 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/67581/ |
identifier_str_mv |
ISSN: 2389-8976 |
url |
https://repositorio.unal.edu.co/handle/unal/66553 http://bdigital.unal.edu.co/67581/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/estad/article/view/48815 |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística Revista Colombiana de Estadística |
dc.relation.references.spa.fl_str_mv |
Martínez, Zoraida (2015) Curves Extraction in Images. Revista Colombiana de Estadística, 38 (1). pp. 295-320. ISSN 2389-8976 |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística |
institution |
Universidad Nacional de Colombia |
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