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Color Segmentation Using LVQ Neural Networks

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Book cover Engineering Applications of Soft Computing

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 129))

Abstract

Color segmentation in digital images is a challenging task due to image capture conditions. Typical segmentation algorithms present several difficulties in this process because they do not tolerate variations in color hue corresponding to the same object.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany

    Margarita-Arimatea Díaz-Cortés & Raúl Rojas

  2. CUCEI, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico

    Erik Cuevas

Authors
  1. Margarita-Arimatea Díaz-Cortés
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  2. Erik Cuevas
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  3. Raúl Rojas
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Corresponding author

Correspondence to Margarita-Arimatea Díaz-Cortés .

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Díaz-Cortés, MA., Cuevas, E., Rojas, R. (2017). Color Segmentation Using LVQ Neural Networks. In: Engineering Applications of Soft Computing. Intelligent Systems Reference Library, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-319-57813-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-57813-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57812-5

  • Online ISBN: 978-3-319-57813-2

  • eBook Packages: EngineeringEngineering (R0)

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