@inbook {2350, title = {Equivalent Sequential and Parallel Subiteration-Based Surface-Thinning Algorithms}, booktitle = {Proceedings of Combinatorial Image Analysis: 17th International Workshop, IWCIA 2015}, series = {Lecture Notes in Computer Science}, volume = {9448}, year = {2015}, month = {Nov 2015}, pages = {31-45}, publisher = {Springer}, organization = {Springer}, type = {Conference paper}, address = {Calcutta, India}, isbn = {978-3-319-26144-7}, author = {K{\'a}lm{\'a}n Pal{\'a}gyi and G{\'a}bor N{\'e}meth and P{\'e}ter Kardos}, editor = {Reneta P Barneva and Bhattacharya, B. B. and Valentin E Brimkov} } @conference {2345, title = {Topology-Preserving Equivalent Parallel and Sequential 4-Subiteration 2D Thinning Algorithms}, booktitle = {Image and Signal Processing and Analysis (ISPA), 2015 9th International Symposium on}, year = {2015}, month = {2015 Sep}, pages = {304-309}, publisher = {IEEE}, organization = {IEEE}, type = {Conference paper}, address = {Zagreb, Croatia}, abstract = {

Thinning is a frequently applied technique for extracting centerlines from 2D binary objects. Parallel thinning algorithms can remove a set of object points simultaneously, while sequential algorithms traverse the boundary of objects, and consider the actually visited single point for possible removal. Two thinning algorithms are called equivalent if they produce the same result for each input picture. This paper presents the very first pair of equivalent 2D sequential and parallel subiteration-based thinning algorithms. These algorithms can be implemented directly on a conventional sequential computer or on a parallel computing device. Both of them preserve topology for (8, 4) pictures sampled on the square grid.

}, isbn = {978-1-4673-8032-4}, doi = {10.1109/ISPA.2015.7306077}, author = {K{\'a}lm{\'a}n Pal{\'a}gyi and G{\'a}bor N{\'e}meth and P{\'e}ter Kardos}, editor = {S Loncaric and D Lerski and H Eskola and R Bregovic} } @conference {2097, title = {V{\'e}kony{\'\i}t{\'a}s a v{\'e}gpont-meg{\H o}rz{\'e}s fel{\"u}lvizsg{\'a}lat{\'a}va}, booktitle = { K{\'e}pfeldolgoz{\'o}k {\'e}s Alakfelismer{\H o}k T{\'a}rsas{\'a}g{\'a}nak 10. orsz{\'a}gos konferenci{\'a}ja}, year = {2015}, month = {Jan 2015}, pages = {578-587}, type = {Conference paper}, address = {Kecskem{\'e}t, Magyarorsz{\'a}g}, abstract = {

A v{\'e}kony{\'\i}t{\'a}s mint iterat{\'\i}v objektum redukci{\'o} gyakran alkalmazott
v{\'a}zkijel{\"o}lo m{\'o}dszer. A legt{\"o}bb l{\'e}tezo v{\'e}kony{\'\i}t{\'o} algoritmus v{\'e}gpontok - vagyis relev{\'a}ns geometriai inform{\'a}ci{\'o}t hordoz{\'o} objektumpontok - megorz{\'e}s{\'e}vel biztos{\'\i}tja azt, hogy ne t{\"o}rlodjenek az objektumok alakj{\'a}t reprezent{\'a}l{\'o} fontos r{\'e}szletek. Ennek a megk{\"o}zel{\'\i}t{\'e}snek h{\'a}tr{\'a}nya, hogy sz{\'a}mos nemk{\'\i}v{\'a}natos v{\'a}z{\'a}gat eredm{\'e}nyezhet. Ebben a cikkben egy olyan m{\'o}dszert mutatunk be, amellyel jelentosen cs{\"o}kkentheto a hamis v{\'a}z{\'a}gak sz{\'a}ma. R{\'a}ad{\'a}sul az itt bemutatott megk{\"o}zel{\'\i}t{\'e}s tetszoleges v{\'e}gpont-megorzo 2D v{\'e}kony{\'\i}t{\'o} algoritmusban alkalmazhat{\'o}.

}, author = {G{\'a}bor N{\'e}meth and P{\'e}ter Kardos and K{\'a}lm{\'a}n Pal{\'a}gyi} } @inbook {1990, title = {K{\'e}pfeldolgoz{\'a}s a szegedi informatikus-k{\'e}pz{\'e}sben}, booktitle = {Informatika a fels{\H o}oktat{\'a}sban 2014}, year = {2014}, month = {2014}, pages = {667-675}, publisher = {University of Debrecen}, organization = {University of Debrecen}, type = {Conference paper}, address = {Debrecen, Hungary}, issn = {978-963-473-712-4}, author = {P{\'e}ter Bal{\'a}zs and Endre Katona and Zoltan Kato and Antal Nagy and G{\'a}bor N{\'e}meth and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and K{\'a}lm{\'a}n Pal{\'a}gyi and Attila Tanacs and L{\'a}szl{\'o} G{\'a}bor Varga}, editor = {Roland Kunkli and Ildik{\'o} Papp and Ed{\'e}n{\'e} Rutkovszky} }