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A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beans

  • S. A. AraújoEmail author
  • W. A. L. Alves
  • P. A. Belan
  • K. P. Anselmo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9475)

Abstract

In this work we propose a computer vision system (CVS) for automatic classification of beans. It is able to classify the beans most consumed in Brazil, according to their skin colors and is composed by three main steps: (i) image acquisition and pre-processing, (ii) segmentation of grains and (iii) classification of grains. In the conducted experiments, we used an apparatus controlled by a PC that includes a conveyor belt, an image acquisition chamber and a camera, to simulate an industrial line of production. The results obtained in the experiments indicate that proposed system could be used to support the visual quality inspection of Brazilian beans.

Keywords

Beans Granulometry Computer vision system 

Notes

Acknowledgments

The authors would like to thank UNINOVE and FAPESP São Paulo Research Foundation (Process 2014/09194-5) by financial support.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • S. A. Araújo
    • 1
    Email author
  • W. A. L. Alves
    • 1
  • P. A. Belan
    • 1
  • K. P. Anselmo
    • 1
  1. 1.Informatics and Knowledge Management Graduate ProgramUniversidade Nove de JulhoSão PauloBrazil

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