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Fusión de Imágenes Multi-Foco con Ventanas Variables

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Fusión de Imágenes Multi-Foco con Ventanas Variables

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dc.contributor.author Calderon, Felix es_ES
dc.contributor.author Garnica-Carrillo, Adan es_ES
dc.contributor.author Flores, Juan J. es_ES
dc.date.accessioned 2020-05-13T19:52:27Z
dc.date.available 2020-05-13T19:52:27Z
dc.date.issued 2018-06-22
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/143095
dc.description.abstract [EN] In this paper we present the Linear Image Combination Algorithm with Variable Windows (CLI-VV) for the fusion of multifocus images. Unlike the CLI-S algorithm presented in a previous work, the CLI-VV algorithm allows to automatically determine the optimal size of the window in each pixel for the segmentation of the regions with the highest sharpness. We also present the generalized CLI-VV Algorithm for the fusion of sets of multi-focus images with more than two images. This new algorithm is called Variable Windows Multi-focus Fusion (FM-VV). The CLI-VV Algorithm was tested with 21 pairs of synthetic images and 29 pairs of real multi-focus images, and the FM-VV Algorithm on 5 trios of multi-focus images. In all the tests a competitive accuracy was obtained, with execution times lower than those reported in the literature. es_ES
dc.description.abstract [ES] En este artículo presentamos el Algoritmo Combinación Lineal de Imágenes con Ventanas Variables (CLI-VV) para la fusión de imágenes multi-foco. A diferencia del Algoritmo CLI-S presentado en un trabajo anterior, el algoritmo CLI-VV permite determinar automáticamente el tamaño óptimo de la ventana en cada píxel para la segmentación de las regiones con la mayor nitidez. También presentamos la generalizado el Algoritmo CLI-VV para la fusión de conjuntos de imágenes multi-foco con más de dos imágenes. A este nuevo algoritmo lo denominamos Fusión Multi-foco con Ventanas Variables (FM-VV). El Algoritmo CLI-VV se probó con 21 pares de imágenes sintéticas y 29 pares de imágenes multi-foco reales, y el Algoritmo FM-VV sobre 5 tríos de imágenes multi-foco. En todos los ejemplos se obtuvo un porcentaje de acierto competitivos, producidos en tiempos de ejecución menores a los reportados en la literatura. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Multi-focus image fusion es_ES
dc.subject Sliding windows es_ES
dc.subject Incremental images es_ES
dc.subject Fusión de imágenes multi-foco es_ES
dc.subject Ventanas deslizantes es_ES
dc.subject Imágenes integrales es_ES
dc.title Fusión de Imágenes Multi-Foco con Ventanas Variables es_ES
dc.title.alternative Multi Focus Image Fusion with variable size windows es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/riai.2017.8852
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Calderon, F.; Garnica-Carrillo, A.; Flores, JJ. (2018). Fusión de Imágenes Multi-Foco con Ventanas Variables. Revista Iberoamericana de Automática e Informática industrial. 15(3):262-276. https://doi.org/10.4995/riai.2017.8852 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/riai.2017.8852 es_ES
dc.description.upvformatpinicio 262 es_ES
dc.description.upvformatpfin 276 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\8852 es_ES
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