{\rtf1\ansi\deff0\deftab360

{\fonttbl
{\f0\fswiss\fcharset0 Arial}
{\f1\froman\fcharset0 Times New Roman}
{\f2\fswiss\fcharset0 Verdana}
{\f3\froman\fcharset2 Symbol}
}

{\colortbl;
\red0\green0\blue0;
}

{\info
{\author Biblio 7.x}{\operator }{\title Biblio RTF Export}}

\f1\fs24
\paperw11907\paperh16839
\pgncont\pgndec\pgnstarts1\pgnrestart
Bal\'e1zs P, Ozsv\'e1r Z, Tasi T, Ny\'fal LG. A Measure of Directional Convexity Inspired by Binary Tomography. Fundamenta Informaticae. 2015;141(2-3):151-167.\par \par Tasi T, Ny\'fal LG, Bal\'e1zs P. Directional Convexity Measure for Binary Tomography. In: Sanniti di Baja G, Ruiz-Shulcloper J, editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Berlin; Heidelberg: Springer Verlag; 2013. 9. p. 9-16p. \par \par Tasi T, Bal\'e1zs P. Extracting geometrical features of discrete images from their projections. Szeged: University of Szeged, Institute of Informatics; 2012.\par \par Gara M, Tasi T, Bal\'e1zs P. Machine learning as a preprocessing phase in discrete tomography. In: K\'f6the U, Montanvert A, Soille P, editors. Applications of Discrete Geometry and Mathematical Morphology (WADGMM). Berlin; Heidelberg; New York; London; Paris; Tokyo: Springer Verlag; 2012. 1. p. 109-124p.  (Lecture Notes in Computer Science).\par \par Tasi T, Heged?s M, Bal\'e1zs P. Perimeter estimation of some discrete sets from horizontal and vertical projections. In: Petrou M, Sappa AD, Triantafyllidis A G, editors. IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA). Crete, Greek: IASTED ACTA Press; 2012. 1. p. 174-181p. \par \par Bal\'e1zs P, Gara M, Tasi T. Machine learning for supporting binary tomographic reconstruction. In: K\'f6the U, Montanvert A, Soille P, editors. Workshop on Applications of Discrete Geometry in Mathematical Morphology. Istambul, Turkey: Springer; 2010. 1. p. 101-105p.  (Lecture Notes in Computer Science).\par \par Tasi T, Bal\'e1zs P. Obtaining geometrical properties of binary images from two projections using neural networks. In: Conference of PhD Students in Computer Science. Volume of Extended Abstracts. Szeged, Hungary: University of Szeged; 2010. 6. 69.\par \par Gara M, Tasi T, Bal\'e1zs P. Learning connectedness and convexity of binary images from their projections. PURE MATHEMATICS AND APPLICATIONS. 2009;20(1-2):27-48.\par \par }