@inbook {1350,
	title = {Live cell segmentation in fluorescence microscopy via graph cut},
	booktitle = {20th international conference on pattern recognition (ICPR 2010)},
	year = {2010},
	note = {ScopusID: 78149486419doi: 10.1109/ICPR.2010.367Besorol{\'a}s: Konferenciak{\"o}zlem{\'e}ny},
	month = {Aug 2010},
	pages = {1485 - 1488},
	publisher = {IEEE},
	organization = {IEEE},
	type = {Conference paper},
	address = {Istanbul, Turkey},
	abstract = {<p>We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodular. Thus the exact energy minima is obtained via a max-flow/min-cut algorithm. The method has been quantitatively evaluated on synthetic images as well as on fluorescence microscopic images of live cells. {\textcopyright} 2010 IEEE.</p>},
	isbn = {978-1-4244-7542-1 },
	issn = {1051-4651 },
	doi = {10.1109/ICPR.2010.367 },
	author = {Milan Lesko and Zoltan Kato and Antal Nagy and Imre Gombos and Zsolt T{\"o}r{\"o}k and L{\'a}szl{\'o} V{\'\i}gh and L{\'a}szl{\'o} V{\'\i}gh},
	editor = {Aytul Ercil}
}
@inbook {1143,
	title = {Reconstructing some hv-convex binary images from three or four projections},
	booktitle = {Proccedings of the 5th International Symposium on Image and Signal Processing and Analysis},
	year = {2007},
	note = {UT: 000253387900025ScopusID: 7949129892doi: 10.1109/ISPA.2007.4383678},
	month = {Sep 2007},
	pages = {136 - 140},
	publisher = {IEEE},
	organization = {IEEE},
	type = {Conference paper},
	address = {Istanbul, Turkey},
	abstract = {<p>The reconstruction of binary images from their projections is animportant problem in discrete tomography. The main challenge in this task is that in certain cases the projections do not uniquely determine the binary image. This can yield an extremely large number of (sometimes very different) solutions. Moreover, under certain circumstances the reconstruction becomes NP-hard. A commonly used technique to reduce ambiguity and to avoid intractability is to suppose that the image to be reconstructed arises from a certain class of images having some geometrical properties. This paper studies the reconstruction problem in the class of hv-convex images having their components in so-called decomposable configurations. First, we give a negative result showing that there can be exponentially many images of the above class having the same three projections. Then, we present a heuristic that uses four projections to reconstruct an hv-convex image with decomposable configuration. We also analyze the performance of our heuristic from the viewpoints of accuracy and running time.</p>},
	isbn = {978-953-184-116-0 },
	doi = {10.1109/ISPA.2007.4383678 },
	author = {P{\'e}ter Bal{\'a}zs},
	editor = {M Petrou and T Saramaki and Aytul Ercil and Sven Lon{\v c}ari{\'c}}
}
