Díaz Pernil, DanielGutiérrez Naranjo, Miguel ÁngelReal Jurado, PedroSánchez Canales, Vanesa2021-04-072021-04-072010Díaz Pernil, D., Gutiérrez Naranjo, M.Á., Real Jurado, P. y Sánchez Canales, V. (2010). Computing Homology Groups in Binary 2D Imagery by Tissue-like P Systems. Romanian Journal of Information Science and Technology (ROMJIST), 13 (2), 141-152.1453-8245https://hdl.handle.net/11441/106777We present a new solution for the Homology Groups of Binary 2D Image (HGB2I) Problem by using Membrane Computing techniques. 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 from a given binary 2D image. To this aim, we present a family of P systems which solves all the instances of the problem in the framework of Tissue-like P systems with catalysts. This is a new framework which combines the membrane structure and symport-antiport communication rules of tissue- like P systems with the power of catalysts.application/pdf12engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Computing Homology Groups in Binary 2D Imagery by Tissue-like P Systemsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess