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A Memetic Algorithm for Binary Image Reconstruction

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4958)

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.

Keywords

Compactness Operator Reconstruction Error Memetic Algorithm Quadratic Assignment Problem Black Pixel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  1. 1.Dipartimento di Matematica e Applicazioni 
  2. 2.Centro Interdipartimentale Tecnologie della ConoscenzaUniversità di PalermoItaly

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