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Departments:
- Image Processing and Computer Graphics
- Technical Informatics
- Foundations of Computer Science
- Computer Algorithms and Artificial Intelligence
- Computational Optimization
- Software Engineering
- Research Group on Artificial Intelligence

[University of Szeged]
Institute of Informatics>>> Department of Image Processing and Computer Graphics>>> flag_HUMagyarul

Selected Publications of Peter Balazs with the Department of Image Processing and Computer Graphics


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Articles in journal or book chapters

  1. Laszlo Varga, Peter Balazs, and Antal Nagy. Direction-dependency of binary tomographic reconstruction algorithms. Graphical Models, 73:365-375, November 2011. [PDF] [Abstract]

  2. Laszlo Varga, Peter Balazs, and Antal Nagy. Projection selection dependency in binary tomography. Acta Cybernetica, 20:167-187, 2011. [PDF] [Abstract]

  3. Peter Balazs. A benchmark set for the reconstruction of hv-convex discrete sets. Discrete Applied Mathematics, 157(16):3446-3456, 2009. Note: Combinatorial Approach to Image Analysis. [WWW] [PDF] [doi:10.1016/j.dam.2009.02.019] [Abstract]

  4. Mihaly Gara, Tamas Samuel Tasi, and Peter Balazs. Learning connectedness and convexity of binary images from their projections. Pure Mathematics and Applications, 20:1-2:27-48, 2009. [PDF] [Abstract]

  5. Peter Balazs. A framework for generating some discrete sets with disjoint components by using uniform distributions. Theoretical Computer Science, 406:15-23, 2008. [PDF] [Abstract]

  6. Peter Balazs. Discrete tomographic reconstruction of binary images with disjoint components using shape information. International Journal of Shape Modeling, 14:2:189-207, 2008. [PDF] [Abstract]

  7. Peter Balazs. On the Ambiguity of Reconstructing hv-Convex Binary Matrices with Decomposable Configurations. Acta Cybernetica, 18(3):367-377, 2008. [PDF] Keyword(s): discrete tomography, hv-convex binary matrix, decomposable configuration, reconstruction algorithm. [Abstract]

  8. Peter Balazs. Decomposition algorithms for reconstructing discrete sets with disjoint components. In Gabor T. Herman and Attila Kuba, editors, Advances in Discrete Tomography and Its Applications, chapter 8, pages 153-173. Birkhauser, Boston, 2007. [WWW] [PDF] [Abstract]

  9. Peter Balazs. A decomposition technique for reconstructing discrete sets from four projections. Image and Vision Computing, 25:10:1609-1619, 2007. [PDF] [Abstract]

  10. Peter Balazs, Emese Balogh, and Attila Kuba. Reconstruction of 8-connected but not 4-connected hv-convex discrete sets. Discrete Applied Mathematics, 147:149-168, 2005. [PDF] [Abstract]


Conference articles

  1. Peter Balazs and Kees Joost Batenburg. A central reconstruction based strategy for selecting projection angles in binary tomography. In Aurelio Campilho and Mohamed Kamel, editors, Proceedings of the International Conference on Image Analysis and Recognition, volume 7325 of Lecture Notes in Computer Science, Aveiro, Portugal, pages 382-391, June 2012. Springer Verlag. [PDF] [Abstract]

  2. Mihaly Gara, Tamas Samuel Tasi, and Peter Balazs. Machine learning as a preprocessing phase in discrete tomography. In Ullrich Kothe, Annick Montanvert, and Pierre Soille, editors, International Workshop on Applications of Discrete Geometry and Mathematical Morphology, volume 7346 of Lecture Notes in Computer Science, Istanbul, Turkey, pages 109-124, August 2012. Springer Verlag. [PDF] [Abstract]

  3. Norbert Hantos, Peter Balazs, and Kalman Palagyi. Binary image reconstruction from two projections and skeletal information. In Reneta P. Barneva, Valentin E. Brimkov, and Jake K. Aggarwal, editors, Proceedings of the International Workshop on Combinatorial Image Analysis, volume 7655 of Lecture Notes in Computer Science, Austin, Texas, USA, pages 263-273, November 2012. Springer Verlag. [PDF] [Abstract]

  4. Tamas Samuel Tasi, Mate Hegedus, and Peter Balazs. Perimeter estimation of some discrete sets from horizontal and vertical projections. In M. Petrou, A.D. Sappa, and G.A. Triantafyllidis, editors, Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Crete, Greece, pages 174-181, June 2012. IASTED. [PDF] [Abstract]

  5. Laszlo Varga, Peter Balazs, and Antal Nagy. An energy minimization reconstruction algorithm for multivalued discrete tomography. In Joao Manuel R.S. Tavares and Jorge R.M. Natal, editors, Proceedings of the International Symposium on Computational Modeling of Objects Represented in Images, Rome, Italy, pages 179-185, September 2012. Taylor & Francis. [PDF] [Abstract]

  6. Norbert Hantos and Peter Balazs. Image Enhancement by Median Filters in Algebraic Reconstruction Methods: An Experimental Study. In R. Boyle, B. Parvin, D. Koracin, R. Chung, M. Hammoud; Hussain, K.-H. Tan, R. Crawfis, D. Thalmann, D. Kao, and L. Avila, editors, Proceedings of the International Symposium on Visual Computing, volume 6455 of Lecture Notes in Computer Science, Las Vegas, USA, pages 339-348, nov--dec 2010. Springer Verlag. [PDF] [Abstract]

  7. Laszlo Varga, Peter Balazs, and Antal Nagy. Direction-dependency of a binary tomographic reconstruction algorithm. In R.P. Barneva, V.E. Brimkov, H.A. Hauptman, R.M. Natal Jorge, and J.M.R.S. Tavares, editors, Proceedings of the International Symposium on Computational Modeling of Objects Represented in Images, volume 6026 of Lecture Notes in Computer Science, Buffalo, USA, pages 242-253, May 2010. Springer Verlag. [PDF] [doi:10.1007/978-3-642-12712-0_22] [Abstract]

  8. Laszlo Varga, Peter Balazs, and Antal Nagy. Projection Selection Algorithms for Discrete Tomography. In J. Blanc-Talon, D. Bone, W. Philips, D. Popescu, and P. Scheunders, editors, Proceedings of the Advanced Concepts for Intelligent Vision Systems, volume 6474 of Lecture Notes in Computer Science, Sydney, Australia, pages 390-401, December 2010. Springer Verlag. [PDF] [Abstract]

  9. Peter Balazs. Reconstruction of canonical hv-convex discrete sets from horizontal and vertical projections. In Petra Wiederhold and Reneta P. Barneva, editors, Proceedings of the International Workshop on Combinatorial Image Analysis, volume 5852 of Lecture Notes in Computer Science, Playa del Carmen, Mexico, pages 280-288, November 2009. Springer Verlag. [PDF] [doi:10.1007/978-3-642-10210-3] [Abstract]

  10. Peter Balazs and Mihaly Gara. An Evolutionary Approach for Object-Based Image Reconstruction Using Learnt Priors. In Arnt-Borre Salberg, Jon Yngve Hardeberg, and Robert Jenssen, editors, Proceedings of the Scandinavian Conference on Image Analysis, volume 5575 of Lecture Notes in Computer Science, Oslo, Norway, pages 520-529, June 2009. Springer Verlag. [PDF] [Abstract]

  11. Peter Balazs. On the number hv-convex discrete sets. In Valentin E. Brimkov, Reneta P. Barneva, and Herbert A. Hauptman, editors, Proceedings of the International Workshop on Combinatorial Image Analysis, volume 4958 of Lecture Notes in Computer Science, Buffalo, USA, pages 112-123, April 2008. Springer Verlag. [PDF] [Abstract]

  12. Peter Balazs. Reconstruction of binary images with few disjoint components from two projections. In George Bebis et al., editor, Proceedings of the International Symposium on Visual Computing, volume 5359 of Lecture Notes in Computer Science, Las Vegas, NV, USA, pages 1147-1156, December 2008. Springer Verlag. [PDF] [Abstract]

  13. Peter Balazs and Mihaly Gara. Decision trees in binary tomography for supporting the reconstruction of hv-convex connected images. In S. Bourennane, W. Philips, D. Popescu, and P. Scheunders, editors, Proceedings of the Advanced Concepts for Intelligent Vision Systems, volume 5259 of Lecture Notes in Computer Science, Juan-les-Pins, France, pages 433-443, October 2008. Springer Verlag. [PDF] [Abstract]

  14. Peter Balazs. Generation and empirical investigation of hv-convex discrete sets. In Bjarne K. Ersboll and Kim S. Pedersen, editors, Proceedings of the Scandinavian Conference on Image Analysis, volume 4522 of Lecture Notes in Computer Science, Aalborg, Denmark, pages 344-353, June 2007. Springer Verlag. [PDF] [Abstract]

  15. Peter Balazs. The number of line-convex directed polyominoes having the same orthogonal projections. In Attila Kuba, Laszlo G. Nyul, and Kalman Palagyi, editors, Proceedings of the International Conference on Discrete Geometry for Computer Imagery, volume 4245 of Lecture Notes in Computer Science, Szeged, Hungary, pages 77-85, October 2006. Springer Verlag. [PDF] [Abstract]

  16. Peter Balazs. Reconstruction of decomposable discrete sets from four projections. In Eric Andres, Guillaume Damiand, and Pascal Lienhardt, editors, Proceedings of the International Conference on Discrete Geometry for Computer Imagery, volume 3429 of Lecture Notes in Computer Science, Poitiers, France, pages 104-114, April 2005. Springer Verlag. [PDF] [Abstract]

  17. Peter Balazs. Reconstruction of discrete sets from four projections: strong decomposability. In Proceedings of the Workshop on Discrete Tomography and its Applications, volume 20 of Electronic Notes in Discrete Mathematics, New York City, USA, pages 329-345, June 2005. Elsevier. [PDF] [Abstract]

  18. Peter Balazs, Emese Balogh, and Attila Kuba. A fast algorithm for reconstructing hv-convex 8-connected but not 4-connected discrete sets. In Ingela Nystrom, Gabriella Sanniti di Baja, and Stina Svensson, editors, Proceedings of the International Conference on Discrete Geometry for Computer Imagery, volume 2886 of Lecture Notes in Computer Science, Naples, Italy, pages 388-397, November 2003. Springer Verlag. [PDF] [Abstract]


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