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A genetic algorithm for discrete tomography reconstruction

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Abstract

The aim of this paper is the description of an experiment carried out to verify the robustness of two different approaches for the reconstruction of convex polyominoes in discrete tomography. This is a new field of research, because it differs from classic computerized tomography, and several problems are still open. In particular, the stability problem is tackled by using both a modified version of a known algorithm and a new genetic approach. The effect of both, instrumental and quantization noises has been considered too.

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  1. Dipartimento di Matematica e Applicazioni, Università di Palermo, Via Archirafi 34, 90123, Palermo, Italy

    Cesare Valenti

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  1. Cesare Valenti
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Correspondence to Cesare Valenti.

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Valenti, C. A genetic algorithm for discrete tomography reconstruction. Genet Program Evolvable Mach 9, 85–96 (2008). https://doi.org/10.1007/s10710-007-9051-9

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  • DOI: https://doi.org/10.1007/s10710-007-9051-9

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