Detection and Classification of Objects by Applying Genetic Programming

Authors

  • Nerses A. Safaryan Institute for Informatics and Automation Problems of NAS RA

Abstract

This article is devoted to discussion of the problem of detection and classification of objects in digital images by using genetic programming (GP).

References

C. Harris and B. Buxton, “Evolving edge detectors with genetic programming,” Proceedings of the Genetic Programming, 1st Annual Conference, Cambridge, MA, USA, MIT Press, pp. 309-314, 1996.

R. Poli, “Genetic programming for feature detection and image segmentation”, in Evolutionary Computation, T. C. Forgarty (Ed.), pp. 110-125, 1996.

J. R. Koza, Genetic Programming II: Automatic Discovery of Reusable Programs, MIT Press, 1994.

S. A. Stanhope and J. M. Daida, “Genetic programming for automatic target classification and recognition in synthetic aperture radar imagery”, Proceeding Conference on Evolutionary Programming VII., pp. 735-744, 1998.

B. Bhanu and Y. Lin, “Learning composite operators for object detection”, Proceedings of the Genetic and Evolutionary Computation Conference, pp.1003-1010, 2002.

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Published

2021-12-10

How to Cite

Safaryan, N. A. . (2021). Detection and Classification of Objects by Applying Genetic Programming. Mathematical Problems of Computer Science, 32, 101–106. Retrieved from http://mpcs.sci.am/index.php/mpcs/article/view/374

Issue

Vol. 32 (2009): Mathematical Problems of Computer Science

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.