2024-04-252024-04-252010Díaz Pernil, D., Gutiérrez Naranjo, M.Á., Real Jurado, P. y Sánchez Canales, V. (2010). A new way to obtain homology groups in Binary 2D images using membrane computing. En EACA 2010: XII Encuentro de Álgebra Computacional y Aplicaciones = 12th Meeting on Computer Algebra and Applications (107-112), Santiago de Compostela: Universidad de Santiago de Compostela.978-84-9887-518-8https://hdl.handle.net/11441/157137Membrane Computing is a computational model inspired in the structure and function of living cells and tissues. In this paper we use Membrane Computing techniques to solve the Homology Groups of Binary 2D Image (HGB2I) Problem. This is a classical problem in Homology Theory which tries to calculate the number of connected components and the representative curves of the holes of these components of a given binary 2D image. To this aim, we use a family of P systems whih solves all the instances of the problem in the framework of Tissue-like P systems with catalysts.application/pdf5engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Membrane computingHomology GroupsBinary 2D Imageinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess