Ponencia
Cell Complexes and Membrane Computing for Thinning 2D and 3D Images
Autor/es | Reina Molina, Raúl
Díaz Pernil, Daniel 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 | 2016-02-05 |
Publicado en |
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ISBN/ISSN | 978-84-940056-6-4 |
Resumen | In this paper, we show a new example of bridging Algebraic Topology,
Membrane Computing and Digital Images. In [24], a new algorithm for thinning multidimensional
black and white digital images by using cell complexes ... In this paper, we show a new example of bridging Algebraic Topology, Membrane Computing and Digital Images. In [24], a new algorithm for thinning multidimensional black and white digital images by using cell complexes was presented. Such cell complexes allow a discrete partition of the space and the algorithm preserves topological and geometrical properties of the image. In this paper, we present a parallel adaptation of such algorithm to P systems, by introducing some concepts of Algebraic Topology in the Membrane Computing framework. The chosen model for the implementation is tissue-like P systems with promoters, inhibitors and priorities. |
Identificador del proyecto | TIN2008-04487-E
TIN-2009-13192 P08-TIC-04200 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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MCThinning_bwmc.pdf | 436.4Kb | [PDF] | Ver/ | |