Membrane parallelism for discrete Morse theory applied to digital images
In this paper, we propose a bio-inspired membrane computational framework for constructing discrete Morse complexes for binary digital images. Our approach is based on the discrete Morse theory and we work with cubical complexes. As example, a parallel algorithm for computing homology groups of bina...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/38726 |
| Acceso en línea: | http://hdl.handle.net/11441/38726 https://doi.org/10.1007/s00200-014-0246-z |
| Access Level: | acceso abierto |
| Palabra clave: | Discrete Morse theory Digital Imagery Homology groups Membrane Computing |
| Sumario: | In this paper, we propose a bio-inspired membrane computational framework for constructing discrete Morse complexes for binary digital images. Our approach is based on the discrete Morse theory and we work with cubical complexes. As example, a parallel algorithm for computing homology groups of binary 3D digital images is designed. |
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