@inbook {1153,
	title = {Binary image reconstruction from two projections and skeletal information},
	booktitle = {Combinatorial Image Analysis},
	series = {Lecture Notes in Computer Science},
	number = {7655},
	year = {2012},
	note = {ScopusID: 84869986820doi: 10.1007/978-3-642-34732-0_20},
	month = {Nov 2012},
	pages = {263 - 273},
	publisher = {Springer Verlag},
	organization = {Springer Verlag},
	type = {Conference paper},
	address = {Berlin; Heidelberg; New York; London; Paris; Tokyo},
	abstract = {<p>In binary tomography, the goal is to reconstruct binary images from a small set of their projections. However, especially when only two projections are used, the task can be extremely underdetermined. In this paper, we show how to reduce ambiguity by using the morphological skeleton of the image as a priori. Three different variants of our method based on Simulated Annealing are tested using artificial binary images, and compared by reconstruction time and error. {\textcopyright} 2012 Springer-Verlag.</p>},
	doi = {10.1007/978-3-642-34732-0_20},
	author = {Norbert Hantos and P{\'e}ter Bal{\'a}zs and K{\'a}lm{\'a}n Pal{\'a}gyi},
	editor = {Reneta P Barneva and Valentin E Brimkov and Jake K Aggarwal}
}
