Ponencia
Smoothing Problem in 2D Images with Tissue-like P Systems and Parallel Implementation
Autor/es | Peña Cantillana, Francisco
Díaz Pernil, Daniel Christinal, Hepzibah A. 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 | 2016-04-06 |
Publicado en |
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ISBN/ISSN | 9788461518371 |
Resumen | Smoothing is often used in Digital Imagery to reduce noise within an image.
In this paper we present a Membrane Computing algorithm for smoothing 2D images in
the framework of tissue-like P systems. The algorithm has ... Smoothing is often used in Digital Imagery to reduce noise within an image. In this paper we present a Membrane Computing algorithm for smoothing 2D images in the framework of tissue-like P systems. The algorithm has been implemented by using a novel device architecture called CUDATM, (Compute Unified Device Architecture). We present some examples, compare the obtained time and present some research lines for the future. |
Identificador del proyecto | TIN2008-04487-E
TIN-2009-13192 P08-TIC-04200 PO6-TIC-02268 MTM2009-12716 |
Ficheros | Tamaño | Formato | Ver | Descripción |
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23smoothing_v5.pdf | 1.139Mb | [PDF] | Ver/ | |