Abstract
This paper deals with a memetic algorithm for the reconstruction of binary images, by using their projections along four directions. The algorithm generates by network flows a set of initial images according to two of the input projections and lets them evolve toward a solution that can be optimal or close to the optimum. Switch and compactness operators improve the quality of the reconstructed images which belong to a given generation, while the selection of the best image addresses the evolution to an optimal output. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Di Gesù, V., Lo Bosco, G., Millonzi, F., & Valenti, C. (2008). A memetic algorithm for binary image reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4958 LNCS, pp. 384–395). Springer Verlag. https://doi.org/10.1007/978-3-540-78275-9_34
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