Article
Segmenting images with gradient-based edge detection using Membrane Computing
Author/s | Díaz Pernil, Daniel
Berciano, Ainhoa 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) |
Publication Date | 2013 |
Deposit Date | 2018-04-06 |
Published in |
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Abstract | In this paper, we present a parallel implementation of a new algorithm for segmenting images with
gradient-based edge detection by using techniques from Natural Computing. This bio-inspired parallel
algorithm has been ... In this paper, we present a parallel implementation of a new algorithm for segmenting images with gradient-based edge detection by using techniques from Natural Computing. This bio-inspired parallel algorithm has been implemented in a novel device architecture called CUDA™(Compute Unified Device Architecture). The implementation has been designed via tissue P systems on the framework of Membrane Computing. Some examples and experimental results are also presented. |
Project ID. | TIN2008-04487-E
TIN2009–13192 P08–TIC-04200 P06-TIC-02268 MTM2009-12716 EHU09/04 |
Citation | Díaz Pernil, D., Berciano, A., Peña Cantillana, F. y Gutiérrez Naranjo, M.Á. (2013). Segmenting images with gradient-based edge detection using Membrane Computing. Pattern Recognition Letters, 34 (8), 846-856. |
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Segmenting images.pdf | 1.493Mb | [PDF] | View/ | |