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A Computer Vision System for Visual Grape Grading in Wine Cellars

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Computer Vision Systems (ICVS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5815))

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Abstract

This communication describes a computer vision system for automatic visual inspection and classification of grapes in cooperative wine cellars. The system is intended to work outdoors, so robust algorithms for preprocessing and segmentation are implemented. Specific methods for illumination compensation have been developed. Gabor filtering has been used for segmentation. Several preliminary classification schemes, using artificial neural networks and Random Forest, have also been tested. The obtained results show the benefits of the system as a useful tool for classification and for objective price fixing.

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Author information

Authors and Affiliations

  1. Laboratorio Oficial de Metroloxía de Galicia (LOMG), Parque Tecnolóxico de Galicia, San Cibrao das Viñas, 32901, Ourense, Spain

    Esteban Vazquez-Fernandez, Angel Dacal-Nieto, Soledad Torres-Guijarro & Higinio Gonzalez-Jorge

  2. Communications and Signal Theory Department, University of Vigo, Spain

    Fernando Martin

  3. Computer Science Department, University of Vigo, Spain

    Arno Formella

Authors
  1. Esteban Vazquez-Fernandez
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  2. Angel Dacal-Nieto
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  3. Fernando Martin
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  4. Arno Formella
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  5. Soledad Torres-Guijarro
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  6. Higinio Gonzalez-Jorge
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Editor information

Editors and Affiliations

  1. ICSI & UC Berkeley, 1947 Center Street, Suite 600, 94704, Berkeley, CA, USA

    Mario Fritz

  2. Department of Computer Science, TU Darmstadt, Hochschulstrasse 10, 64289, Darmstadt, Germany

    Bernt Schiele

  3. Department of Electrical Engineering and Computer Science, Montefiore Institute, University of Liège, B28, Sart Tilman Campus, Grand Traverse 10, 4000, Liège, Belgium

    Justus H. Piater

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© 2009 Springer-Verlag Berlin Heidelberg

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Vazquez-Fernandez, E., Dacal-Nieto, A., Martin, F., Formella, A., Torres-Guijarro, S., Gonzalez-Jorge, H. (2009). A Computer Vision System for Visual Grape Grading in Wine Cellars. In: Fritz, M., Schiele, B., Piater, J.H. (eds) Computer Vision Systems. ICVS 2009. Lecture Notes in Computer Science, vol 5815. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04667-4_34

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  • DOI: https://doi.org/10.1007/978-3-642-04667-4_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04666-7

  • Online ISBN: 978-3-642-04667-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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