In this paper, we present an algorithm for the dynamic selection of projection angles in binary tomography. Based on the information present in projections that have already been measured, a new projection angle is computed, which aims to maximize the information gained by adding this projection to the set of measurements. The optimization model used for angle selection is based on a characterization of solutions of the binary reconstruction problem, and a related definition of information gain. From this formal model, an algorithm is obtained by several approximation steps. Results from a series of simulation experiments demonstrate that the proposed angle selection scheme is indeed capable of finding angles for which the reconstructed image is much more accurate than for the standard angle selection scheme. © 2012 Elsevier Inc. All rights reserved.

VL - 117 SN - 1077-3142 IS - 4 N1 - UT: 000315556800002ScopusID: 84871533054doi: 10.1016/j.cviu.2012.07.005 JO - COMPUT VIS IMAGE UND ER - TY - CHAP T1 - A central reconstruction based strategy for selecting projection angles in binary tomography T2 - Image Analysis and Recognition Y1 - 2012 A1 - Péter Balázs A1 - Joost K Batenburg ED - Aurélio Campilho ED - Mohamed Kamel AB -In this paper we propose a novel strategy for selecting projection angles in binary tomography which yields significantly more accurate reconstructions than others. In contrast with previous works which are of experimental nature, the method we present is based on theoretical observations. We report on experiments for different phantom images to show the effectiveness and roboustness of our procedure. The practically important case of noisy projections is also studied. © 2012 Springer-Verlag.

JF - Image Analysis and Recognition T3 - Lecture Notes in Computer Science PB - Springer CY - Berlin; Heidelberg; New York; London; Paris; Tokyo N1 - ScopusID: 84864128031doi: 10.1007/978-3-642-31295-3_45 JO - LNCS ER - TY - JOUR T1 - Algorithms, automata, complexity and games Preface JF - THEORETICAL COMPUTER SCIENCE Y1 - 2008 A1 - Joost K Batenburg A1 - Antal Nagy A1 - Maurice Nivat VL - 406 SN - 0304-3975 IS - 1-2 N1 - UT: 000260289400001doi: 10.1016/j.tcs.2008.07.010 JO - THEOR COMPUT SCI ER - TY - JOUR T1 - In Memoriam Attila Kuba (1953-2006) JF - THEORETICAL COMPUTER SCIENCE Y1 - 2008 A1 - Joost K Batenburg A1 - Antal Nagy A1 - Maurice Nivat CY - KUBA A, PUBLICATION LIST VL - 406 SN - 0304-3975 IS - 1-2 N1 - UT: 000260289400002doi: 10.1016/j.tcs.2008.07.011 JO - THEOR COMPUT SCI ER -