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Segmenting images with gradient-based edge detection using Membrane Computing

 

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Opened Access Segmenting images with gradient-based edge detection using Membrane Computing
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Author: 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)
Date: 2013
Published in: Pattern Recognition Letters, 34 (8), 846-856.
Document type: Article
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 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.
Cite: 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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Format: PDF

URI: https://hdl.handle.net/11441/72072

DOI: 10.1016/j.patrec.2012.10.014

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