Capítulo de Libro
Using membrane computing for obtaining homology groups of binary 2D digital images
Autor/es | Christinal, Hepzibah A.
Díaz Pernil, Daniel Real Jurado, Pedro |
Departamento | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) Universidad de Sevilla. FQM296: Topología Computacional y Matemática Aplicada |
Fecha de publicación | 2009 |
Fecha de depósito | 2015-12-10 |
Publicado en |
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Resumen | Membrane Computing is a new paradigm inspired from cellular communication. Until now, P systems have been used in research areas like modeling chemical process, several ecosystems, etc. In this paper, we apply P systems ... Membrane Computing is a new paradigm inspired from cellular communication. Until now, P systems have been used in research areas like modeling chemical process, several ecosystems, etc. In this paper, we apply P systems to Computational Topology within the context of the Digital Image. We work with a variant of P systems called tissue-like P systems to calculate in a general maximally parallel manner the homology groups of 2D images. In fact, homology computation for binary pixel-based 2D digital images can be reduced to connected component labeling of white and black regions. Finally, we use a software called Tissue Simulator to show with some examples how these systems work |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Using membrane computing.pdf | 331.8Kb | [PDF] | Ver/ | |
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