TY - CHAP T1 - Binary image reconstruction from two projections and skeletal information T2 - Combinatorial Image Analysis Y1 - 2012 A1 - Norbert Hantos A1 - Péter Balázs A1 - Kálmán Palágyi ED - Reneta P Barneva ED - Valentin E Brimkov ED - Jake K Aggarwal AB -

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. © 2012 Springer-Verlag.

JF - Combinatorial Image Analysis T3 - Lecture Notes in Computer Science PB - Springer Verlag CY - Berlin; Heidelberg; New York; London; Paris; Tokyo N1 - ScopusID: 84869986820doi: 10.1007/978-3-642-34732-0_20 JO - LNCS ER -