Image Processing Reference
In-Depth Information
21. Guo, Z., Hall, R.W.: Parallel thinning with two-subiteration algorithms. Communications
of the ACM 32, 359-373 (1989)
22. Guo, Z., Hall, R.W.: Fast fully parallel thinning algorithms. CVGIP: Image Understand-
ing 55, 317-328 (1992)
23. Hernandez, G., Herrmann, H.: Cellular-automata for elementary image-enhancement.
Graphical Models and Image Processing 58(1), 82-89 (1996)
24. Heydorn, S., Weidner, P.: Optimization and performance analysis of thinning algorithms
on parallel computers. Parallel Computing 17(1), 17-27 (1991)
25. Hilditch, C.: An application of graph theory in pattern recognition. Machine Intelli-
gence 3, 325-347 (1968)
26. Holt, C., Stewart, A.: A parallel thinning algorithm with fine grain subtasking. Parallel
Computing 10(3), 329-334 (1989)
27. Hongbin, P., Junali, C., Yashe, Z.: Fingerprint thinning algorithm based on mathematical
morphology. In: 8th International Conference on Electronic Measurement and Instru-
ments, ICEMI 2007, pp. 2-618-2-621 (2007)
28. Kirsch, R.A., Cahn, L., Ray, C., Urban, G.H.: Experiments in processing pictorial
information with a digital computer. In: Papers and Discussions Presented at the De-
cember 9-13, Eastern Joint Computer Conference: Computers with Deadlines to Meet,
IRE-ACM-AIEE 1957 (Eastern), pp. 221-229. ACM, New York (1958)
29. Lee, K.H., Cho, S.B., Choy, Y.C.: Automated vectorization of cartographic maps by
a knowledge-based system. Engineering Applications of Artificial Intelligence 13(2),
165-178 (2000)
30. Liu, L.: 3D thinning on cell complexes for computing curve and surface skeletons. Wash-
ington University (2009)
31. Liu, L., Chambers, E.W., Letscher, D., Ju, T.: A simple and robust thinning algorithm on
cell complexes. Computer Graphics Forum 29(7), 2253-2260 (2010)
32. Lü, H.E., Wang, P.S.P.: A comment on a fast parallel algorithm for thinning digital pat-
terns. Communications of the ACM 29(3), 239-242 (1986)
33. Nedzved, A., Ilyich, Y., Ablameyko, S., Kamata, S.: Color thinning with applications to
biomedical images. In: Skarbek, W. (ed.) CAIP 2001. LNCS, vol. 2124, pp. 256-263.
Springer, Heidelberg (2001)
34. Pavlidis, T.: Algorithms for Graphics and Image Processing. Digital system design series.
Computer Science Press (1982)
35. Peña-Cantillana, F., Berciano, A., Díaz-Pernil, D., Gutiérrez-Naranjo, M.A.: Parallel
skeletonizing of digital images by using cellular automata. In: Ferri, M., Frosini, P.,
Landi, C., Cerri, A., Di Fabio, B. (eds.) CTIC 2012. LNCS, vol. 7309, pp. 39-48.
Springer, Heidelberg (2012)
36. Rosenfeld, A.: A characterization of parallel thinning algorithms. Information and Con-
trol 29(3), 286-291 (1975)
37. Rosin, P.L.: Training cellular automata for image processing. IEEE Transactions on Im-
age Processing 15(7), 2076-2087 (2006)
38. Rutovitz, D.: Pattern recognition. Journal of the Royal Statistical Society 129, 504-530
(1966)
39. Saeed, K., Tabedzki, M., Rybnik, M., Adamski, M.: K3M: A universal algorithm for
image skeletonization and a review of thinning techniques. Applied Mathematics and
Computer Science 20(2), 317-335 (2010)
40. de Saint Pierre, T., Milgram, M.: New and efficient cellular algorithms for image pro-
cessing. CVGIP: Image Understanding 55(3), 261-274 (1992)
41. Siddiqi, K., Pizer, S.: Medial representations: mathematics, algorithms and applications.
Computational imaging and vision. Springer (2008)
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