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Iberian Conference on Pattern Recognition and Image Analysis

IbPRIA 2003: Pattern Recognition and Image Analysis pp 158–167Cite as

Determine the Composition of Honeybee Pollen by Texture Classification

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2652))

Abstract

Humans are interested in the knowledge of honeybee pollen composition, which depends on the local flora surrounding the beehive, due to their nutritional value and therapeutical benefits. Currently, pollen composition is manually determined by an expert palynologist counting the proportion of pollen types analyzing the pollen of the hive with an optical microscopy. This procedure is tedious and expensive for its systematic application. We present an automatic methodology to discriminate pollen loads of various genus based on texture classification. The method consists of three steps: after selection non-blurred regions of interest (ROIs) in the original image, a texture feature vector for each ROI is calculated, which is used to discriminate between pollen types. An statistical evaluation of the algorithm is provided and discussed.

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Author information

Authors and Affiliations

  1. Dpto de Informática, E.S.E.I., Universidade de Vigo, Campus Universitario As Lagoas s/n, 32004, Ourense, Spain

    Pilar Carrión, Eva Cernadas & Juan F. Gálvez

  2. Dpto de Bioloxía Vexetal e Ciencias do Solo, Facultad de Ciencias, Universidade de Vigo, Campus Universitario As Lagoas, 32004, Ourense, Spain

    Emilia Díaz-Losada

Authors
  1. Pilar Carrión
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  2. Eva Cernadas
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  3. Juan F. Gálvez
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  4. Emilia Díaz-Losada
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Editor information

Editors and Affiliations

  1. Unitat de Gràfics i Visió per Ordinador Departament de Ciències Matemàtiques i Informàtica, Universitat de les Illes Balears Edifici Anselm Turmeda, Ctra. de Valldemossa km 7,5, 07122, Palma de Mallorca, Spain

    Francisco José Perales

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio J. C. Campilho

  3. Departamento de Ciencias da la Computacíon e I.A., Universidad de Granada, E.T. S. Ing. Informática, 18071, Granada, Spain

    Nicolás Pérez de la Blanca

  4. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

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© 2003 Springer-Verlag Berlin Heidelberg

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Carrión, P., Cernadas, E., Gálvez, J.F., Díaz-Losada, E. (2003). Determine the Composition of Honeybee Pollen by Texture Classification. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_19

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  • DOI: https://doi.org/10.1007/978-3-540-44871-6_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40217-6

  • Online ISBN: 978-3-540-44871-6

  • eBook Packages: Springer Book Archive

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