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Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging. LNCVB, vol. 2, pp. 165–188. Springer, Dordrecht (2012). https://doi.org/10.1007/978-94-007-4174-4_6DOI:10.1007/978-94-007-4174-4_6; Palágyi, K.: Equivalent sequential and parallel reductions in arbitrary binary pictures. Int. J. Pattern Recognit. Artif. Intell. 28, 1460009-1–1460009-16 (2014). https://doi.org/10.1142/S021800141460009XDOI:10.1142/S021800141460009X; Palágyi, K.: Simplifier points in 2D binary images. In: Brimkov, V.E., Barneva, R.P. (eds.) IWCIA 2017. LNCS, vol. 10256, pp. 3–15. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59108-7_1DOI:10.1007/978-3-319-59108-7_1; Suen, C.Y., Wang, P.S.P. (eds.): Thinning Methodologies for Pattern Recognition. Series in Machine Perception and Artificial Intelligence, vol. 8. 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