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Image Quality Enhancement for Liquid Bridge Parameter Estimation with DTCNN

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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Abstract

This work present the use of a neural structure to augment the quality of noisy images of liquid bridges to obtain a clear representation of its border in order to determine the acceleration that it is suffering. The used network is a three layers Discrete Time Cellular Neural Network in which the last one performs the contour highlighting through the adaptive definition of the gain and threshold of their output functions. Then an easy algorithm extracts a curve from the border.

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Author information

Authors and Affiliations

  1. Dpto. Electrónica e Ingeniería Electromecánica Escuela de Ingenierías Industriales, Universidad de Extremadura, Avda. de Elvas s/n, 06071, Badajoz, SPAIN

    Miguel A. Jaramillo, J. álvaro Fernández, José M. Montanero & Fernando Zayas

Authors
  1. Miguel A. Jaramillo
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  2. J. álvaro Fernández
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  3. José M. Montanero
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  4. Fernando Zayas
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Jaramillo, M.A., álvaro Fernández, J., Montanero, J.M., Zayas, F. (2001). Image Quality Enhancement for Liquid Bridge Parameter Estimation with DTCNN. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_29

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  • DOI: https://doi.org/10.1007/3-540-45723-2_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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