Ponencia
Designing Tissue-like P Systems for Image Segmentation on Parallel Architectures
Autor/es | Carnero Iglesias, Javier
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 | 2011 |
Fecha de depósito | 2016-04-04 |
Publicado en |
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ISBN/ISSN | 9788461518371 |
Resumen | Problems associated with the treatment of digital images have several interesting features from a bio-inspired point of view. One of them is that they can be
suitable for parallel processing, since the same sequential ... Problems associated with the treatment of digital images have several interesting features from a bio-inspired point of view. One of them is that they can be suitable for parallel processing, since the same sequential algorithm is usually applied in different regions of the image. In this paper we report a work-in-progress of a hardware implementation in Field Programmable Gate Arrays (FPGAs) of a family of tissue-like P systems which solves the segmentation problem in digital images. |
Identificador del proyecto | TIN-2009-13192
P08-TIC-04200 PO6-TIC-02268 MTM2009-12716 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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03tissue_fpga.pdf | 310.6Kb | [PDF] | Ver/ | |