Next Article in Journal
Using Hand Grip Force as a Correlate of Longitudinal Acceleration Comfort for Rapid Transit Trains
Previous Article in Journal
UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(7), 15738-15754; doi:10.3390/s150715738

Sorting Olive Batches for the Milling Process Using Image Processing

1
ANDALTEC, Plastic Technological Center, Martos, Jaén 23600, Spain
2
Group of Robotics, Automation and Computer Vision, University of Jaén, Agrifood Campus of International Excellence (ceiA3), Jaén 23071, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 11 May 2015 / Revised: 20 June 2015 / Accepted: 24 June 2015 / Published: 2 July 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [4486 KB, uploaded 2 July 2015]   |  

Abstract

The quality of virgin olive oil obtained in the milling process is directly bound to the characteristics of the olives. Hence, the correct classification of the different incoming olive batches is crucial to reach the maximum quality of the oil. The aim of this work is to provide an automatic inspection system, based on computer vision, and to classify automatically different batches of olives entering the milling process. The classification is based on the differentiation between ground and tree olives. For this purpose, three different species have been studied (Picudo, Picual and Hojiblanco). The samples have been obtained by picking the olives directly from the tree or from the ground. The feature vector of the samples has been obtained on the basis of the olive image histograms. Moreover, different image preprocessing has been employed, and two classification techniques have been used: these are discriminant analysis and neural networks. The proposed methodology has been validated successfully, obtaining good classification results. View Full-Text
Keywords: olive classification; computer vision; automatic quality control olive classification; computer vision; automatic quality control
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Puerto, D.A.; Gila, D.M.M.; García, J.G.; Ortega, J.G. Sorting Olive Batches for the Milling Process Using Image Processing. Sensors 2015, 15, 15738-15754.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top