Discernment of bee pollen loads using computer vision and one-class classification techniques

Chica, Manuel and Campoy Cervera, Pascual (2012). Discernment of bee pollen loads using computer vision and one-class classification techniques. "Journal of Food Engineering", v. 112 (n. 1-2); pp. 50-59. ISSN 0260-8774. https://doi.org/10.1016/j.jfoodeng.2012.03.028.

Description

Title: Discernment of bee pollen loads using computer vision and one-class classification techniques
Author/s:
  • Chica, Manuel
  • Campoy Cervera, Pascual
Item Type: Article
Título de Revista/Publicación: Journal of Food Engineering
Date: September 2012
ISSN: 0260-8774
Volume: 112
Subjects:
Freetext Keywords: Bee pollen; Food authentication; Outliers detection; One-class classification; Computer vision
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, we propose a system for authenticating local bee pollen against fraudulent samples using image processing and classification techniques. Our system is based on the colour properties of bee pollen loads and the use of one-class classifiers to reject unknown pollen samples. The latter classification techniques allow us to tackle the major difficulty of the problem, the existence of many possible fraudulent pollen types. Also presented is a multi-classifier model with an ambiguity discovery process to fuse the output of the one-class classifiers. The method is validated by authenticating Spanish bee pollen types, the overall accuracy of the final system of being 94%. Therefore, the system is able to rapidly reject the non-local pollen samples with inexpensive hardware and without the need to send the product to the laboratory.

More information

Item ID: 19071
DC Identifier: http://oa.upm.es/19071/
OAI Identifier: oai:oa.upm.es:19071
DOI: 10.1016/j.jfoodeng.2012.03.028
Official URL: http://www.sciencedirect.com/science/article/pii/S0260877412001707
Deposited by: Memoria Investigacion
Deposited on: 25 Jan 2014 11:19
Last Modified: 21 Apr 2016 17:19
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