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Skeletonizing Images by Using Spiking Neural P Systems


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Author: Díaz Pernil, Daniel
Peña Cantillana, Francisco
Gutiérrez Naranjo, Miguel Ángel
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)
Date: 2012
Published in: Proceedings of the Tenth Brainstorming Week on Membrane Computing, 91-110. Sevilla, E.T.S. de Ingeniería Informática, 30 de Enero-3 de Febrero, 2012,
ISBN/ISSN: 978-84-940056-5-7
Document type: Presentation
Abstract: 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.
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