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A Central Reconstruction Based Strategy for Selecting Projection Angles in Binary Tomography

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Image Analysis and Recognition (ICIAR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7324))

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Abstract

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.

This research was supported by the TÁMOP-4.2.2/08/1/2008-0008 program of the Hungarian National Development Agency, the European Union and the European Regional Development Fund under the grant agreement TÁMOP-4.2.1/B-09/1/KONV-2010-0005. The work of the first author was also supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences and by the Hungarian Scientific Research Fund OTKA PD100950. The research was carried out when the first author was visiting the ASTRA Group at Vision Lab, University of Antwerp in Belgium.

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Balázs, P., Batenburg, K.J. (2012). A Central Reconstruction Based Strategy for Selecting Projection Angles in Binary Tomography. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2012. Lecture Notes in Computer Science, vol 7324. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31295-3_45

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  • DOI: https://doi.org/10.1007/978-3-642-31295-3_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31294-6

  • Online ISBN: 978-3-642-31295-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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