Ponencia
Skeletonizing Images by Using Spiking Neural P Systems
Autor/es | Díaz Pernil, Daniel
Peña Cantillana, Francisco Gutiérrez Naranjo, Miguel Ángel |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) |
Fecha de publicación | 2012 |
Fecha de depósito | 2016-02-04 |
Publicado en |
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ISBN/ISSN | 978-84-940056-5-7 |
Resumen | Skeletonizing an image is representing a shape with a small amount of information
by converting the initial image into a more compact representation and keeping
the meaning features. In this paper we use spiking neural ... Skeletonizing an image is representing a shape with a small amount of information by converting the initial image into a more compact representation and keeping the meaning features. In this paper we use spiking neural P systems to solve this problem. Based on such devices, a parallel software has been implemented on the GPU architecture. Some real-world applications and open lines for future research are also presented. |
Identificador del proyecto | TIN2008-04487-E
TIN-2009-13192 P08-TIC-04200 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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skel_snps_bwmc.pdf | 774.5Kb | [PDF] | Ver/ | |