In this paper the well-known problem of reconstructing hv-convex polyominoes is considered from a set of noisy data. Differently from the usual approach of Binary Tomography, this leads to a probabilistic evaluation in the reconstruction algorithm, where different pixels assume different probabilities to be part of the reconstructed image. An iterative algorithm is then applied, which, starting from a random choice, leads to an explicit reconstruction matching the noisy data.

Goupy, A., Pagani, S. M. C., Probabilistic Reconstruction of hv-convex Polyominoes from Noisy Projection Data, <<FUNDAMENTA INFORMATICAE>>, 2014; (135): 117-134. [doi:10.3233/FI-2014-1115] [http://hdl.handle.net/10807/79304]

Probabilistic Reconstruction of hv-convex Polyominoes from Noisy Projection Data

Alexandre; Pagani
2014

Abstract

In this paper the well-known problem of reconstructing hv-convex polyominoes is considered from a set of noisy data. Differently from the usual approach of Binary Tomography, this leads to a probabilistic evaluation in the reconstruction algorithm, where different pixels assume different probabilities to be part of the reconstructed image. An iterative algorithm is then applied, which, starting from a random choice, leads to an explicit reconstruction matching the noisy data.
Inglese
Goupy, A., Pagani, S. M. C., Probabilistic Reconstruction of hv-convex Polyominoes from Noisy Projection Data, <<FUNDAMENTA INFORMATICAE>>, 2014; (135): 117-134. [doi:10.3233/FI-2014-1115] [http://hdl.handle.net/10807/79304]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/79304
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