@inbook {1151,
	title = {Local uncertainty in binary tomographic reconstruction},
	booktitle = {Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2013)},
	year = {2013},
	note = {ScopusID: 84876584488doi: 10.2316/P.2013.798-067},
	month = {Feb 2013},
	pages = {490 - 496},
	publisher = {IASTED - Acta Press},
	organization = {IASTED - Acta Press},
	type = {Conference paper},
	address = {Calgary},
	abstract = {<p>We describe a new approach for the uncertainty problem arisingin the field of discrete tomography, when the low number of projections does not hold enough information for an accurate, and reliable reconstruction. In this case the lack of information results in uncertain parts on the reconstructed image which are not determined by the projections and cannot be reliably reconstructed without additional information. We provide a method that can approximate this local uncertainty of reconstructions, and show how each pixel of the reconstructed image is determined by a set of given projections. We also give experimental results for validating our approach.</p>},
	doi = {10.2316/P.2013.798-067},
	author = {L{\'a}szl{\'o} G{\'a}bor Varga and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Antal Nagy and P{\'e}ter Bal{\'a}zs},
	editor = {Martin Kampel}
}
