Abstract
Membrane Computing is a biologically inspired computational model. Its devices are called P systems and they perform computations by applying a finite set of rules in a synchronous, maximally parallel way. In this paper, we follow a new research line using tissue-like P systems to do a parallel color segmentation of images using a thresholding to look for edge pixels. We have chosen this variant of P systems because it uses a less number of computational ingredients with respect to classical variants.
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References
Holland, J.H.: Adaptation in natural and artificial systems. MIT Press, Cambridge (1992)
McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943)
Adleman, L.M.: Molecular computation of solutions to combinatorial problems. Science 266, 1021–1024 (1994)
Păun, G.: Computing with membranes. Technical Report 208, Turku Centre for Computer Science, Turku, Finland (November 1998)
Shapiro, L.G., Stockman, G.C.: Computer Vision. Prentice Hall PTR, Upper Saddle River (2001)
Christinal, H.A., Díaz-Pernil, D., Gutiérrez-Naranjo, M.A., Pérez-Jiménez, M.J.: Thresholding of 2D images with cell-like P systems. Romanian Journal of Information Science and Technology (ROMJIST) 13(2), 131–140 (2010)
Christinal, H.A., Díaz-Pernil, D., Real Jurado, P.: Segmentation in 2D and 3D Image Using Tissue-Like P System. In: Bayro-Corrochano, E., Eklundh, J.-O. (eds.) CIARP 2009. LNCS, vol. 5856, pp. 169–176. Springer, Heidelberg (2009)
Christinal, H.A., Díaz-Pernil, D., Real Jurado, P.: Region-based segmentation of 2D and 3D images with tissue-like P systems. Pattern Recognition Letters 32(16), 2206–2212 (2011); Advances in Theory and Applications of Pattern Recognition, Image Processing and Computer Vision
Peña-Cantillana, F., Díaz-Pernil, D., Berciano, A., Gutiérrez-Naranjo, M.A.: A Parallel Implementation of the Thresholding Problem by Using Tissue-Like P Systems. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds.) CAIP 2011, Part II. LNCS, vol. 6855, pp. 277–284. Springer, Heidelberg (2011)
Peña-Cantillana, F., Díaz-Pernil, D., Christinal, H.A., Gutiérrez-Naranjo, M.A.: Implementation on CUDA of the smoothing problem with tissue-like P systems. International Journal of Natural Computing Research 2(3), 25–34 (2011)
Gimel’farb, G., Nicolescu, R., Ragavan, S.: P Systems in Stereo Matching. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds.) CAIP 2011, Part II. LNCS, vol. 6855, pp. 285–292. Springer, Heidelberg (2011)
Gimel’farb, G.L.: Probabilistic regularisation and symmetry in binocular dynamic programming stereo. Pattern Recognition Letters 23(4), 431–442 (2002)
Sheeba, F., Thamburaj, R., Nagar, A.K., Mammen, J.J.: Segmentation of peripheral blood smear images using tissue-like p systems. In: International Conference on Bio-Inspired Computing: Theories and Applications, pp. 257–261 (2011)
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Christinal, H.A., Díaz-Pernil, D., Jurado, P.R., Selvan, S.E. (2012). Color Segmentation of 2D Images with Thresholding. In: Mathew, J., Patra, P., Pradhan, D.K., Kuttyamma, A.J. (eds) Eco-friendly Computing and Communication Systems. ICECCS 2012. Communications in Computer and Information Science, vol 305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32112-2_20
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DOI: https://doi.org/10.1007/978-3-642-32112-2_20
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