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.

%B COMPUTER VISION AND IMAGE UNDERSTANDING %V 117 %P 306 - 318 %8 2013 %@ 1077-3142 %G eng %N 4 %9 Journal article %! COMPUT VIS IMAGE UND %R 10.1016/j.cviu.2012.07.005 %0 Book Section %B Image Analysis and Recognition %D 2012 %T A central reconstruction based strategy for selecting projection angles in binary tomography %A Péter Balázs %A Joost K Batenburg %E Aurélio Campilho %E Mohamed Kamel %XIn 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.

%B Image Analysis and Recognition %S Lecture Notes in Computer Science %I Springer %C Berlin; Heidelberg; New York; London; Paris; Tokyo %P 382 - 391 %8 June 2012 %G eng %9 Conference paper %! LNCS %R 10.1007/978-3-642-31295-3_45 %0 Journal Article %J THEORETICAL COMPUTER SCIENCE %D 2008 %T Algorithms, automata, complexity and games Preface %A Joost K Batenburg %A Antal Nagy %A Maurice Nivat %B THEORETICAL COMPUTER SCIENCE %V 406 %P 1 %8 2008 %@ 0304-3975 %G eng %N 1-2 %9 Journal article %! THEOR COMPUT SCI %0 Journal Article %J THEORETICAL COMPUTER SCIENCE %D 2008 %T In Memoriam Attila Kuba (1953-2006) %A Joost K Batenburg %A Antal Nagy %A Maurice Nivat %B THEORETICAL COMPUTER SCIENCE %C KUBA A, PUBLICATION LIST %V 406 %P 2 - 7 %8 2008 %@ 0304-3975 %G eng %N 1-2 %9 Journal article %! THEOR COMPUT SCI