Artificial vision to assure coffee-excelso beans quality

Eduardo Carrillo, Alexander Aristizábal Peñaloza

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper studies the possibility of classifying coffee beans by using their features of color, shape and size. The process of acquiring the images were done in controlled lighting conditions. Based on segmented images, color, shape and size provide information about the physical alteration in green coffee beans, during the growing and drying process that affect the flavor and taste of the drink by Developing a computer program to sort coffee beans by types In the case of color images are analyzed in RGB space, which were preprocessor in order to reduce noise and separate from the background and enhance its features. The location was used for an algorithm for identifying and setting contours ellipse, an algorithm Mahalanobis distance classifier, an algorithm called Flood of growth, for the segmentation of those defective grains. The emergence of methods that take advantage of technological advances is an option whose benefits encourage the study of new possibilities. The classification of coffee beans throughout the analysis of images is a very promising because it is a minimally invasive method and the exposure of the grains are not visible to look deteriorates significantly. Many farmers sort their coffee beans by hand but only a few thousand dollars invested in a automatic sorting optical machine such us Sortex or Xeltron. In this paper we develop algorithms based on image processing techniques for the classification of defective beans.

Original languageEnglish
Title of host publicationProceedings of the 2009 Euro American Conference on Telematics and Information Systems
Subtitle of host publicationNew Opportunities to Increase Digital Citizenship, EATIS '09
DOIs
StatePublished - 2009
Event2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09 - Prague, Czech Republic
Duration: 3 Jun 20095 Jun 2009

Publication series

NameProceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09

Conference

Conference2009 Euro American Conference on Telematics and Information Systems: New Opportunities to Increase Digital Citizenship, EATIS '09
Country/TerritoryCzech Republic
CityPrague
Period3/06/095/06/09

Keywords

  • Ajuste de Elipse
  • Flood
  • Image segmentation
  • Mahalonobis

Fingerprint

Dive into the research topics of 'Artificial vision to assure coffee-excelso beans quality'. Together they form a unique fingerprint.

Cite this