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Publikációk típus szerint

Palágyi K, Németh G. Fully Parallel 3D Thinning Algorithms based on Sufficient Conditions for Topology Preservation. In: Brlek S, Reutenauer C, Provençal X, editors. Proceedings of Discrete Geometry for Computer Imagery (DGCI). Montreal, Quebec, Canada: Springer Verlag; 2009. 4. p. 481-492p.
Katona E. A Graph Based Data Model for Graphics Interpretation. In: Graph-Based Representations in Pattern Recognition. Vol 5534. Venice, Italy: Springer; 2009. 3. p. 355-364p. (Lecture Notes in Computer Science; vol 5534).
Nyúl LG. Retinal image analysis for automated glaucoma risk evaluation. In: Liu J, Doi K, Fenster A, Chan C S, editors. MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques. Bellingham; Washington: SPIE; 2009. 7. p. 74971C-1p. - p. 74971C-9p.
Balázs P, Gara M. Decision trees in binary tomography for supporting the reconstruction of hv-convex connected images. In: Proceedings of the Advanced Concepts for Intelligent Vision Systems. Vol 5259. Juan-les-Pins, France: Springer; 2008. 4. p. 433-443p. (Lecture Notes in Computer Science; vol 5259).
Fazekas A, Palágyi K, Kovács G, Németh G. Skeletonization based on metrical neighborhood sequences. In: Gasteratos A, Vincze M, Tsotsos JK, editors. Computer Vision Systems. Santorini, Greece: Springer Verlag; 2008. 3. p. 333-342p.
Domokos C, Kato Z. Binary image registration using covariant gaussian densities. In: Campilho A, editor. Image Analysis and Recognition. Póvoa de Varzim, Portugal: Springer; 2008. 4. p. 455-464p. (Lecture Notes in Computer Science).
Balázs P. On the number of hv-convex discrete sets. In: Brimkov VE, Barneva RP, Hauptman HA, editors. Combinatorial Image Analysis. Buffalo, NY, USA: Springer Verlag; 2008. 1. p. 112-123p. (Lecture Notes in Computer Science).
Balázs P. Reconstruction of binary images with few disjoint components from two projections. In: Bebis G, Boyle R, Parvin B, Koracin D, Remagnino P, Porikli F et al., editors. Advances in Visual Computing. Las Vegas, NV, USA: Springer Verlag; 2008. 1. p. 1147-1156p. (Lecture Notes in Computer Science).