Díaz Pernil, DanielBerciano, AinhoaPeña Cantillana, FranciscoGutiérrez Naranjo, Miguel Ángel2018-04-062018-04-062013Díaz 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), 846-856.0167-8655https://hdl.handle.net/11441/72072In 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.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Edge detectionSobel algorithm TissueP systems MembraneComputing CUDAinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.patrec.2012.10.014