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Fractals as Pre-Processing Tool for Computational Intelligence Application

In: Computational Intelligence

Author

Listed:
  • Ana M. Tarquis

    (U.P.M., Av. Complutense s.n., Ciudad Universitaria, Dpto. de Matemàtica Aplicada, E.T.S. de Ingenieros Agrònomos)

  • Valeriano Mèndez

    (U.P.M., Av. Complutense s.n., Ciudad Universitaria, Dpto. de Matemàtica Aplicada, E.T.S. de Ingenieros Agrònomos)

  • Juan B. Grau

    (U.P.M., Av. Complutense s.n., Ciudad Universitaria, Dpto. de Matemàtica Aplicada, E.T.S. de Ingenieros Agrònomos)

  • Josè M. Antòn

    (U.P.M., Av. Complutense s.n., Ciudad Universitaria, Dpto. de Matemàtica Aplicada, E.T.S. de Ingenieros Agrònomos)

  • Diego Andina

    (U.P.M., Av. Complutense s.n., Ciudad Universitaria, Dpto. de Matemàtica Aplicada, E.T.S. de Ingenieros Agrònomos
    U.P.M., Av. Complutense s.n., Ciudad Universitaria, Dpto. De Señales, Sistemas y Radiocomunicaiones, E.T.S. Ingenieros de Telecomunicaciòn)

Abstract

Preprocessing is the process of adapting the input of our Computational Intelligence (CI) problem to the CI technique applied. Images are inputs of many problems, and Fractal processing of the images to extract relevant geometry characteristics is a very important tool. This chapter is dedicated to Fractal Preprocessing. In Pedology, fractal models were fitted to match the structure of soils and techniques of multifractal analysis of soil images were developed as is described in a state-of-the-art panorama. A box-counting method and a gliding box method are presented, both obtaining from images sets of dimension parameters, and are evaluated in a discussed case study from images of samples, and the second seems preferable. Finally, a comprehensive list of references is given

Suggested Citation

  • Ana M. Tarquis & Valeriano Mèndez & Juan B. Grau & Josè M. Antòn & Diego Andina, 2007. "Fractals as Pre-Processing Tool for Computational Intelligence Application," Springer Books, in: Diego Andina & Duc Truong Pham (ed.), Computational Intelligence, chapter 0, pages 193-212, Springer.
    • Handle: RePEc:spr:sprchp:978-0-387-37452-9_8
    DOI: 10.1007/0-387-37452-3_8
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