@article {671,
	title = {Computing Homology Groups in Binary 2D Imagery by Tissue-like P Systems},
	journal = {Romanian Journal of Information Science and Technology},
	volume = {13},
	year = {2010},
	month = {09/2010},
	pages = {141-152},
	publisher = {EDITURA ACADEMIEI ROM{\^A}NE},
	address = {Bucure{\c s}ti, Rom{\^a}nia},
	abstract = {We 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.},
	issn = {1453-8245},
	url = {http://www.imt.ro/romjist/Volum13/Number13_2/abstracts.htm$\#$4},
	author = {Daniel D{\'\i}az-Pernil and Miguel A. Guti{\'e}rrez-Naranjo and Pedro  Real and Vanesa S{\'a}nchez-Canales}
}
