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Genetic Algorithms and Biological Images Restoration: Preliminary Report

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Advances in Artificial Intelligence — IBERAMIA 2002 (IBERAMIA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2527))

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Abstract

The purpose of this work is to investigate the application of genetic algorithms [9] on biological images restoration. The idea is to improve images quality generated by Atomic Force Microscopy (AFM) technique [1] and by Cidade et al. [3] restoration method in a way that they can be used to analyze the structures of a given biological sample.

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Author information

Authors and Affiliations

  1. Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro, UFRJ, CEP 21949-900, Rio de Janeiro, RJ, Brasil

    Simone J. M. Ribeiro

  2. Dept. de Ciěncia da Computação, Instituto de Matemática, Universidade Federal do Rio de Janeiro, UFRJ, Caixa Postal 68530, CEP 21945-970, Rio de Janeiro, RJ, Brasil

    João C. P. da Silva

Authors
  1. Simone J. M. Ribeiro
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  2. João C. P. da Silva
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Editor information

Editors and Affiliations

  1. Telefónica Investigación y Desarrollo, Emilio Vargas 6, 28043, Madrid, Spain

    Francisco J. Garijo

  2. Dpto. Lenguajes y Sistemas Informáticos, Universidad de Sevilla, ETS Ingeniería Informática, 41012, Seville, Spain

    José C. Riquelme  & Miguel Toro  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Ribeiro, S.J.M., da Silva, J.C.P. (2002). Genetic Algorithms and Biological Images Restoration: Preliminary Report. In: Garijo, F.J., Riquelme, J.C., Toro, M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science(), vol 2527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36131-6_35

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  • DOI: https://doi.org/10.1007/3-540-36131-6_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00131-7

  • Online ISBN: 978-3-540-36131-2

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