
doi: 10.3233/fi-2016-1380
handle: 11365/999019 , 10807/87298
In this paper we consider the uniqueness issues in Discrete Tomography. A special class of geometric objects, widely considered in the literature, is represented by additive sets. These sets are uniquely determined by their X-rays, and they are also reconstructible in polynomial time by use of linear programming. Recently, additivity has been extended to J-additivity to provide a more general treatment of known concepts and results. A further generalization of additivity, called bounded additivity is obtained by restricting to sets contained in a given orthogonal box. In this work, we investigate these two generalizations from a geometrical point of view and analyze the interplay between them.
Additive set, Additive set; uniqueness problem; weakly bad configuration; X-ray; Theoretical Computer Science; Algebra and Number Theory; Information Systems; Computational Theory and Mathematics, Algebra and Number Theory, Biomedical imaging and signal processing, Information System, weakly bad configuration, uniqueness problem, Theoretical Computer Science, X-ray, Computational Theory and Mathematics, Computer graphics; computational geometry (digital and algorithmic aspects), additive set, Additive set; uniqueness problem; X-ray; weakly bad configuration
Additive set, Additive set; uniqueness problem; weakly bad configuration; X-ray; Theoretical Computer Science; Algebra and Number Theory; Information Systems; Computational Theory and Mathematics, Algebra and Number Theory, Biomedical imaging and signal processing, Information System, weakly bad configuration, uniqueness problem, Theoretical Computer Science, X-ray, Computational Theory and Mathematics, Computer graphics; computational geometry (digital and algorithmic aspects), additive set, Additive set; uniqueness problem; X-ray; weakly bad configuration
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