Abstract
In this paper, we consider the binary tomography reconstruction problem of images on the triangular grid. The reconstruction process is based on three natural directions of projections, defined by the lane directions of the triangular grid (they are analogous to row and column directions on the square grid). The recently proposed shifted projection approach is applied, which allows that the number of delta and nabla shape triangular pixels in each lane to be exactly determined. The structure of the set of the same type pixels coincides with the structure of the hexagonal grid. The proposed new reconstruction process solve separately the task for the delta and nabla shape pixels on two hexagonal grids. Experimental results on a number of test images is presented and analyzed. The new method shows advantage in both aspects, quality of the reconstructions and running times.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdalla, M., Nagy, B.: Dilation and erosion on the triangular tessellation: an independent approach. IEEE Access 6, 23108–23119 (2018)
Birgin, E.G., Martínez, J.M., Raydan, M.: Algorithm 813: SPG - software for convex-constrained optimization. ACM Trans. Math. Softw. 27, 340–349 (2001)
Birgin, E., Martínez, J.: A box-constrained optimization algorithm with negative curvature directions and spectral projected gradients. In: Alefeld, G., Chen, X. (eds.) Topics in Numerical Analysis. COMPUTING, vol. 15, pp. 49–60. Springer, Vienna (2001). https://doi.org/10.1007/978-3-7091-6217-0_5
Borgefors, G.: Distance transformations on hexagonal grids. Pattern Recogn. Lett. 9(2), 97–105 (1989)
Brimkov, V.E., Barneva, R.P.: “Honeycomb” vs square and cubic models. Electron. Notes Theoret. Comput. Sci. 46, 321–338 (2001)
Brimkov, V.E., Barneva, R.P.: Analytical honeycomb geometry for raster and volume graphics. Comput. J. 48(2), 180–199 (2005)
Deutsch, E.S.: Thinning algorithms on rectangular, hexagonal and triangular arrays. Commun. ACM 15(3), 827–837 (1972)
Gale, D.: A theorem on flows in networks. Pacific J. Math. 7(2), 1073–1082 (1957)
Golay, M.: Hexagonal parallel pattern transformations. IEEE Trans. Comput. 18, 733–740 (1969)
Her, I.: Geometric transformations on the hexagonal grid. IEEE Trans. Image Process. 4, 1213–1222 (1995)
Herman, G.T., Kuba, A.: Advances in Discrete Tomography and Its Applications. Birkhäuser, Basel (2007)
Kardos, P., Palagyi, K.: Hexagonal parallel thinning algorithms based on sufficient conditions for topology preservation. In: Proceedings of the International Symposium CompIMAGE, pp. 63–68 (2012)
Kardos, P., Palagyi, K.: On topology preservation in triangular. In: Proceedings of the International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 789–794 (2013)
Kardos, P., Palagyi, K.: On topology preservation of mixed operators in triangular, square, and hexagonal grids. Discrete Appl. Math. 216, 441–448 (2017)
Klette, R., Rosenfeld, A.: Digital Geometry. Geometric Methods for Digital Picture Analysis. Morgan Kaufmann Publishers/Elsevier Science B.V., San Francisco/Amsterdam (2004)
Luczak, E., Rosenfeld, A.: Distance on a hexagonal grid. IEEE Trans. Comput. C–25(5), 532–533 (1976)
Lukić, T., Balázs, P.: Binary tomography reconstruction based on shape orientation. Pattern Recogn. Lett. 79, 18–24 (2016)
Lukić, T., Nagy, B.: Energy-minimization based discrete tomography reconstruction method for images on triangular grid. In: Barneva, R.P., Brimkov, V.E., Aggarwal, J.K. (eds.) IWCIA 2012. LNCS, vol. 7655, pp. 274–284. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34732-0_21
Lukić, T., Nagy, B.: Deterministic discrete tomography reconstruction by energy minimization method on the triangular grid. Pattern Recogn. Lett. 49, 11–16 (2014)
Lukić, T., Nagy, B.: Regularized Binary Tomography on The Hexagonal Grid (2018, Submitted)
Matej, S., Herman, G.T., Vardi, A.: Binary tomography on the hexagonal grid using Gibbs priors. Int. J. Imaging Syst. Technol. 9, 126–131 (1998)
Moisi, E., Nagy, B.: Discrete tomography on the triangular grid: a memetic approach. In: Proceedings of 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011), pp. 579–584, Dubrovnik, Croatia (2011)
Moisi, E., Nagy, B., Cretu, V.: Reconstruction of binary images represented on equilateral triangular grid using evolutionary algorithms. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds.) Soft Computing Applications. AISC, vol. 195, pp. 561–571. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-33941-7_49
Nagy, B.: Shortest paths in triangular grids with neighbourhood sequences. J. Comput. Inf. Technol. 11, 111–122 (2003)
Nagy, B., Barczi, K.: Isoperimetrically optimal polygons in the triangular grid with jordan-type neighbourhood on the boundary. Int. J. Comput. Math. 90, 1629–1652 (2013)
Nagy, B., Lukić, T.: Dense projection tomography on the triangular tiling. Fundamenta Informaticae 145, 125–141 (2016)
Nagy, B., Lukić, T.: New projection approach for binary tomography on triangular grid (2018, Submitted)
Prause, G., Onnasch, D.: Binary reconstruction of the heart chambers from biplane angiographic image sequences. IEEE Trans. Med. Imag. 15, 532–46 (1997)
Ryser, H.J.: Combinatorial properties of matrices of zeros and ones. Can. J. Math. 9, 371–377 (1957)
Acknowledgement
Tibor Lukić acknowledges the Ministry of Education and Sciences of the R. of Serbia for support via projects OI-174008 and III-44006. He also acknowledges support received from the Hungarian Academy of Sciences through the DOMUS project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Nagy, B., Lukić, T. (2018). Binary Tomography on Triangular Grid Involving Hexagonal Grid Approach. In: Barneva, R., Brimkov, V., Tavares, J. (eds) Combinatorial Image Analysis. IWCIA 2018. Lecture Notes in Computer Science(), vol 11255. Springer, Cham. https://doi.org/10.1007/978-3-030-05288-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-05288-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05287-4
Online ISBN: 978-3-030-05288-1
eBook Packages: Computer ScienceComputer Science (R0)