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• W1569416176 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." @default.
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• W1569416176 date "2014-01-01" @default.
• W1569416176 modified "2023-09-25" @default.
• W1569416176 title "Probabilistic Reconstruction of hv-convex Polyominoes from Noisy Projection Data" @default.
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• W1569416176 doi "https://doi.org/10.3233/fi-2014-1115" @default.
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