You are here
Publications of Péter Balázs
2008
-
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).
-
A framework for generating some discrete sets with disjoint components by using uniform distributions. THEORETICAL COMPUTER SCIENCE. 2008;406(1-2):15-23.
-
Discrete tomographic reconstruction of binary images with disjoint components using shape information. INTERNATIONAL JOURNAL OF SHAPE MODELLING. 2008;14(2):189-207.
-
Determination of geometric features of binary images from their projections by using decision trees. In: Palágyi K, Bánhelyi B, Gergely T, Matievics I, editors. Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2008. 2. 26.
2007
-
Binary Tomography Using Geometrical Priors: Uniqueness and Reconstruction Results. Szeged, Hungary: University of Szeged; 2007.
-
Generation and empirical investigation of hv-Convex discrete sets. In: Ersbøll BKjær, Pedersen KSteenstrup, editors. Image Analysis. Aalborg, Denmark: Springer Verlag; 2007. 3. p. 344-353p. (Lecture Notes in Computer Science).
-
Uniform generation of hv-convex discrete sets. In: A Képfeldolgozók és Alakfelismerők Társaságának konferenciája - KÉPAF 2007. Debrecen: Képfeldolgozók és Alakfelismerők Társasága; 2007. 6. p. 63-70p.
-
Decomposition Algorithms for Reconstructing Discrete Sets with Disjoint Components. In: Herman G T, Kuba A, editors. ADVANCES IN DISCRETE TOMOGRAPHY AND ITS APPLICATIONS. Cambridge: Birkhauser Boston; 2007. 1. p. 153-173p. (Applied and Numerical Harmonic Analysis).
-
Reconstructing some hv-convex binary images from three or four projections. In: Petrou M, Saramaki T, Ercil A, Lončarić S, editors. Proccedings of the 5th International Symposium on Image and Signal Processing and Analysis. Istanbul, Turkey: IEEE; 2007. 1. p. 136-140p.
-
A decomposition technique for reconstructing discrete sets from four projections. IMAGE AND VISION COMPUTING. 2007;25(10):1609-1619.