Scale Invariance in Projection Selection Using Binary Tomography

Issue title: Special Issue on Tomography and Neuroscience

Guest editors: Sara Brunetti, Paolo Dulio, Andrea Frosini and Grzegorz Rozenberg

Article type: Research Article

Authors: Lékó, Gábor^{; *} | Balázs, Péter

Affiliations: Department of Image Processing and Computer Graphics, University of Szeged, Arpád tér 2. H-6720, Szeged, Hungary. leko@inf.u-szeged.hu, pbalazs@inf.u-szeged.hu

Correspondence: [*] Address for correspondence: Department of Image Processing and Computer Graphics, University of Szeged, Arpád tér 2. H-6720, Szeged, Hungary

Abstract: In this paper, we propose two strategies of reducing the amount of data needed for binary tomographic reconstructions. We study how the direction dependency changes by reducing the resolution of an image and we point out how to specify the most informative angles for the original image using its downscaled version. We also show how to predict the final acceptable resolution. Applications of the proposed strategies are also mentioned.

Keywords: binary tomography, reconstruction, projection selection, scale invariance, resolution invariance, direction dependency, informative angles

DOI: 10.3233/FI-2020-1897

Journal: Fundamenta Informaticae, vol. 172, no. 2, pp. 129-142, 2020