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Binary Image Reconstruction from Two Projections and Skeletal Information

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Book cover Combinatorial Image Analaysis (IWCIA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7655))

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Abstract

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.

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Hantos, N., Balázs, P., Palágyi, K. (2012). Binary Image Reconstruction from Two Projections and Skeletal Information. In: Barneva, R.P., Brimkov, V.E., Aggarwal, J.K. (eds) Combinatorial Image Analaysis. IWCIA 2012. Lecture Notes in Computer Science, vol 7655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34732-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-34732-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34731-3

  • Online ISBN: 978-3-642-34732-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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