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Mo.Se.: Mosaic image segmentation based on deep cascading learning

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Mo.Se.: Mosaic image segmentation based on deep cascading learning

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Felicetti, A.; Paolanti, M.; Zingaretti, P.; Pierdicca, R.; Malinverni, ES. (2021). Mo.Se.: Mosaic image segmentation based on deep cascading learning. Virtual Archaeology Review. 12(24):25-38. https://doi.org/10.4995/var.2021.14179

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/161421

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Title: Mo.Se.: Mosaic image segmentation based on deep cascading learning
Secondary Title: Mo.Se.: Segmentación de mosaico de imágenes basado en aprendizaje profundo en cascada
Author: Felicetti, Andrea Paolanti, Marina Zingaretti, Primo Pierdicca, Roberto Malinverni, Eva Savina
Issued date:
Abstract:
[EN] Mosaic is an ancient type of art used to create decorative images or patterns combining small components. A digital version of a mosaic can be useful for archaeologists, scholars and restorers who are interested in ...[+]


[ES] El mosaico es un tipo de arte antiguo utilizado para crear imágenes decorativas o patrones de pequeños componentes. Una versión digital de un mosaico puede ser útil a los arqueólogos, estudiosos y restauradores que ...[+]
Subjects: Cultural heritage , Mosaic , Deep learning , Image segmentation , Digitization , Patrimonio cultural , Mosaico , Aprendizaje profundo , Segmentación de imagen , Digitalización
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Virtual Archaeology Review. (eissn: 1989-9947 )
DOI: 10.4995/var.2021.14179
Publisher:
Universitat Politècnica de València
Publisher version: https://doi.org/10.4995/var.2021.14179
Thanks:
This work was partially found within the framework of the project Innovative technologies and training activities for the conservation and enhancement of the archaeological site of Umm er-Rasas (Jordan) funded by Ministero ...[+]
Type: Artículo

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