Multivalued discrete tomography involves reconstructing images composed of three or more gray levels from projections. We propose a method based on the continuous-time optimization approach with a nonlinear dynamical system that effectively utilizes competition dynamics to solve the problem of multivalued discrete tomography. We perform theoretical analysis to understand how the system obtains the desired multivalued reconstructed image. Numerical experiments illustrate that the proposed method also works well when the number of pixels is comparatively high even if the exact labels are unknown.
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Abstract Determining the cause of unexplained death in all age groups, including infants, is a priority in forensic medicine. The triple r...
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Abstract In this paper we present the study of a skull belonging to a young male from the Italian Bronze Age showing three perimortem inju...
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Abstract To measure integral doses in image-guided radiation therapy, we developed an integral condenser dosimeter comprising a disposable...
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Objectives. To assess the association between short-term postoperative cognitive dysfuction (POCD) and inflammtory response in patients unde...
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Abstract Layer-by-layer (LbL) dip coating, accompanying with the use of micelle structure, allows hydrophobic molecules to be coated on me...
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This paper presents an adaptive multiuser transceiver scheme for DS-CDMA systems in which pilot symbols are added to users’ data to estimate...
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