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Bin\'e1ris k\'e9pek rekonstrukci\'f3ja k\'e9t vet\'fcletb?l \'e9s morfol\'f3giai v\'e1zb\'f3l. In: A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2013. Veszpr\'e9m: NJSZT-K\'c9PAF; 2013. 1. p. 182-193p. \par \par Hantos N, Bal\'e1zs P. Reconstruction and Enumeration of hv-Convex Polyominoes with Given Horizontal Projection. In: Ruiz-Shulcloper J, Sanniti di Baja G, editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (CIARP). Heidelberg; London; New York: Springer; 2013. 1. p. 100-107p.  (LNCS).\par \par Hantos N, Bal\'e1zs P. The reconstruction of polyominoes from horizontal and vertical projections and morphological skeleton is NP-complete. FUNDAMENTA INFORMATICAE. 2013;125(3-4):343-359.\par \par Hantos N, Bal\'e1zs P. A uniqueness result for reconstructing hv-convex polyominoes from horizontal and vertical projections and morphological skeleton. In: Ramponi G, Lon?ari? S, Carini A, Egiazarian K, editors. Proceedings of International Symposium on Image and Signal Processing and Analysis (ISPA). Trieste: IEEE; 2013. 7. p. 788-793p. \par \par Hantos N, Bal\'e1zs P, Pal\'e1gyi K. Binary image reconstruction from two projections and skeletal information. In: Barneva RP, Brimkov VE, Aggarwal JK, editors. Combinatorial Image Analysis. Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2012. 2. p. 263-273p.  (Lecture Notes in Computer Science).\par \par Binary tomography using two projections and morphological skeleton. In: Conference of PhD Students in Computer Science. Vol Volume of Extended Abstracts. Szeged: Univ Szeged Institute of Informatics; 2012. 2. 20.\par \par Hantos N, Bal\'e1zs P, Pal\'e1gyi K. Solving binary tomography from morphological skeleton via optimization. In: Veszpr\'e9m Optimization Conference: Advanced Algorithms (VOCAL). Veszpr\'e9m: University of Pannonia; 2012. 4. 42.\par \par Hantos N, Bal\'e1zs P. Medi\'e1nsz?r\'e9s alkalmaz\'e1sa algebrai rekonstrukci\'f3s m\'f3dszerekben. In: Kato Z, Pal\'e1gyi K, editors. A K\'e9pfeldolgoz\'f3k \'e9s Alakfelismer?k T\'e1rsas\'e1g\'e1nak konferenci\'e1ja - K\'c9PAF 2011. Szeged: NJSZT; 2011. 1. p. 106-116p. \par \par Hantos N, Bal\'e1zs P. Image enhancement by median filters in algebraic reconstruction methods: an experimental study. In: Bebis G, Boyle R, Parvin B, Koracin D, Chung R, Hammound R et al., editors. Advances in Visual Computing. Las Vegas, NV, USA: Springer Verlag; 2010. 3. p. 339-348p.  (Lecture Notes in Computer Science).\par \par Median filtering in algebraic reconstruction methods. In: Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2010. 3. 36.\par \par }