Diatoms classification using frequency domain techniques

  1. Carlos Grima 1
  2. Fernando Tadeo 1
  3. Mª Teresa Álvarez 1
  4. Jose Luis Arribas 2
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  2. 2 Empresa Depuradora de Aguas Residuales, Ávila
Buch:
XXIV Jornadas de Automática: León, 10, 11 y 12 de septiembre de 2003, Universidad de León, E.I. Industrial e Informática

Verlag: Instituto de Automática y Fabricación (IAF) (Cognomática) ; Universidad de León

ISBN: 84-931846-7-5

Datum der Publikation: 2003

Art: Buch-Kapitel

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Zusammenfassung

This paper presents an approach to the automaticclassification of diatoms based on image-processingtechniques. The main contribution is the development ofa pattern evaluated from a frequential analysis ofimages taken through microscope, post-processed toextract the relevant characteristics that distinguish thedifferent species. The final classification is carried outusing a competitive neural network, with promisingresults

Fuente de los datos: Dialnet