Publicación:
A vision-based strategy to segment and localize ancient symbols written in stone

Vista sencilla de ítem
dc.contributor.authorDuque Domingo, Jaime
dc.contributor.authorHerrera Caro, Pedro Javier
dc.contributor.authorCerrada Somolinos, Carlos
dc.contributor.authorCerrada Somolinos, José Antonio
dc.contributor.orcidhttps://orcid.org/0000-0001-6649-5550
dc.contributor.orcidhttps://orcid.org/0000-0001-8679-6617
dc.contributor.orcidhttps://orcid.org/0000-0002-8591-6581
dc.contributor.orcidhttps://orcid.org/0000-0001-5492-5293
dc.coverage.spatialSevilla
dc.coverage.temporal2017-11-22
dc.date.accessioned2025-05-16T06:36:56Z
dc.date.available2025-05-16T06:36:56Z
dc.date.issued2017-12-21
dc.descriptionEsta es la versión aceptada del artículo. La versión registrada fue publicada por primera vez en ROBOT 2017: Third Iberian Robotics Conference, vol 694, está disponible en línea como capítulo de libro en el sitio web del editor: Springer dentro de su serie "Advances in Intelligent Systems and Computing" : https://doi.org/10.1007/978-3-319-70836-2_21. This is the accepted version of the article. The registered version was published for the first time in ROBOT 2017: Third Iberian Robotics Conference, vol 694, and is available online as a book chapter on the publisher's website: Springer in its series 'Advances in Intelligent Systems and Computing': https://doi.org/10.1007/978-3-319-70836-2_21.
dc.description.abstractThis work proposes an automatic method to detect ancient symbols written in stone. The proposed method takes into account well-known techniques used in computer vision to identify the contour of the symbols in the image. The two-stage method consists of segmentation and localization processes. Segmentation process includes a pre-processing step, edge detection and thresholding. Localization process is based on two conditions that take into account several parameters, like the distance between points, and the orientation and the continuity of the edges. This proposal has been applied to localize Egyptian cartouches (borders enclosing the name of a king) and stonemason’s marks from images obtained under varying lighting conditions (controlled and natural lighting). The proposed method is compared favorably against other methods based on chain coding, neural networks and statistical correlation. The promising results give new possibilities to identify and recognize complex symbols and ancient texts.en
dc.description.versionversión final
dc.identifier.citationDuque-Domingo, J., Herrera, P.J., Cerrada, C., Cerrada, J.A. (2018). A Vision-Based Strategy to Segment and Localize Ancient Symbols Written in Stone. In: Ollero, A., Sanfeliu, A., Montano, L., Lau, N., Cardeira, C. (eds) ROBOT 2017: Third Iberian Robotics Conference. ROBOT 2017. Advances in Intelligent Systems and Computing, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-70836-2_21
dc.identifier.doihttps://doi.org/10.1007/978-3-319-70836-2_21
dc.identifier.isbn978-3-319-70835-5
dc.identifier.isbn978-3-319-70836-2
dc.identifier.urihttps://hdl.handle.net/20.500.14468/26549
dc.language.isoen
dc.publisherSpringer
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressROBOT2017
dc.relation.departmentIngeniería de Software y Sistemas Informáticos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject1203.17 Informática
dc.subject.keywordsImage segmentationen
dc.subject.keywordsedge detectionen
dc.subject.keywordsobject localizationen
dc.titleA vision-based strategy to segment and localize ancient symbols written in stoneen
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
relation.isAuthorOfPublicationd8a786c8-b4c1-42a1-8cdd-e7e0480024e0
relation.isAuthorOfPublicationf9ebcf51-c844-4f6e-b2b0-6697f6c9b1f9
relation.isAuthorOfPublication05ad22be-95c7-4449-9644-65f928bbb66e
relation.isAuthorOfPublication.latestForDiscoveryd8a786c8-b4c1-42a1-8cdd-e7e0480024e0
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
HerreraCaro_PedroJavier_Vision-based_strategy.pdf
Tamaño:
1.16 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Actas y comunicaciones de congresos