Parallel recognition and classification of objects

Authors

  • Rodrigo Felice Department of Computer Sciences, Faculty of Exact Sciences, Universidad Nacional de La Plata, Argentina
  • Fernando Ruscitti Department of Computer Sciences, Faculty of Exact Sciences, Universidad Nacional de La Plata, Argentina
  • Marcelo Naiouf III-LIDI (Institute of Research in Computer Sciences LIDI), Facultad de Informática. Universidad Nacional de La Plata. La Plata, 1900, Argentina.
  • Armando Eduardo De Giusti III-LIDI (Institute of Research in Computer Sciences LIDI), Facultad de Informática. Universidad Nacional de La Plata. La Plata, 1900, Argentina.

Abstract

The development of parallel algorithms for an automatic recognition and classification of objects from an industrial line (either production or packaging) is presented. This kind of problem introduces a temporal restriction on images processing, a parallel resolution being therefore required. We have chosen simple objects (fruits, eggs, etc.), which are classified according to characteristics such as shape, color, size, defects (stains, loss of color), etc. By means of this classification, objects can be sent, for example, to different sectors of the line. Algorithms parallelization on a heterogeneous computers network with a PVM (Parallel Virtual Machine) support is studied in this paper. Finally, some quantitative results obtained from the application of the algorithm on a representative sample of real images are presented.

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References

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Published

1999-03-01

How to Cite

Felice, R., Ruscitti, F., Naiouf, M., & De Giusti, A. E. (1999). Parallel recognition and classification of objects. Journal of Computer Science and Technology, 1(01), 17 p. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/1029

Issue

Vol. 1 No. 01 (1999): First Issue

Section

Original Articles

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