Memetic algorithms for reconstruction of binary images on triangular grids with 3 and 6 projections

Graphical abstractDisplay Omitted HighlightsBinary tomography of hexagon shape images built up by triangle pixels is considered.3 lanewise and 6 (lanewise and orthogonal) projection directions are used.Network flow is providing promising initial populations for the genetic approach.Local change, e.g., guided mutations and compactness operators are used.Various switching components are described in formal way for the 3 projection case.Experiments on various images show the efficiency of our algorithm. When an image is given with only some measurable data, e.g., projections, the most important task is to reconstruct it, i.e., to find an image that provides the measured data. These tomographic problems are frequently used in the theory and applications of image processing. In this paper, memetic algorithms are investigated on triangular grids for the reconstruction of binary images using their three and six direction projections. The algorithm generates an initial population using the network flow algorithm for two of the input projections. The reconstructed images evolve towards an optimal solution or close to the optimal solution, by using crossover operators and guided mutation operators. The quality of the images is improved by using switching components and compactness operator.

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