HEXAGONAL RESTARTING AUTOMATA

Main Article Content

ANITHA P
Dr. K.S. Dersanambika

Abstract

This paper focuses on a model of automaton for hexagonal pictures with particular attention given to scanning strategies.In this restarting automaton the picture is being scanned at each step and interpreted.We point out here only a particular scanning strategy.

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How to Cite
P, A., & Dersanambika, D. K. (2017). HEXAGONAL RESTARTING AUTOMATA. Journal of Global Research in Mathematical Archives(JGRMA), 4(11), 173–182. Retrieved from https://jgrma.com/index.php/jgrma/article/view/336
Section
Research Paper

References

Daniel Prusa, Frantisek Marz, New models for recognition of picture languages : Sgrafitto and restarting tiling automata, CTU-CMP, 08, 2012.

Dora Giammarresi, Antonio Restivo, Two dimensional finite state recognizibility, Fundamental Informatica, 25, 1966, 399–422.

P. Anitha and K. S. Dersanambika, Hexagonal picture recognizability with automata based on hexagonal wang tiles, International Journal of Mathematical Archive, 5(5), 2014, 195–204.

Daniel Prusa, Frantisek Marz, Two dimensional Sgraffito Automata, Theorectical Informatics and Application, August, 2012.

Encyclopaedia Britannica Online, Retrieved on 20 March 2012 from http:// www. britannica.com/EB checked/ topic, 537397 , /Sgraffito.

Daniel Pursa,Frantisek Marz, New Models for Recognition of Picture Languages:Sgrafitto and Restarting tiling automata , CTU-CMP-2012-08, March 20, 2012.

Ina Maurer, Charecterization of recognizable picture series, Theoretical Computer Science, 374, Elsevier, 2007, 214–228.

L. Middleton and J. Sivaswamy, Hexagonal image processing: A practical approach, Advances in Computer Vision and Pattern Recognition Series, Springer, 2005.

D. Giammarresi, and A. Restivo, Two-dimensional languages, Handbook of Formal Languages, Springer- Verlag, Berlin, volume 3, 1997, 215–265.

L. Middleton and J. Sivaswamy, Hexagonal image processing: A practical approach, Advances in Computer Vision and Pattern Recognition Series, Springer, 2005.