Microsoft Word - Tpel1.doc Mathematical Problems of Computer Science 32,101--106, 2009. 101 Detection and Classification of Objects by Applying Genetic Programming Nerses A. Safaryan Institute for Informatics and Automation Problems of NAS RA nerses.s@gmail.com 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 [1]. 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. [2]. R. Poli, “Genetic programming for feature detection and image segmentation”, in Evolutionary Computation, T. C. Forgarty (Ed.), pp. 110-125, 1996. [3]. J. R. Koza, Genetic Programming II: Automatic Discovery of Reusable Programs, MIT Press, 1994. [4]. 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. [5]. B. Bhanu and Y. Lin, “Learning composite operators for object detection”, Proceedings of the Genetic and Evolutionary Computation Conference, pp.1003-1010, 2002. úµÛ»ÏïÝ»ñÇ Ñ³Ûïݳµ»ñáõÙÁ ¨ ¹³ë³Ï³ñ·áõÙÁ ·»Ý»ïÇÏ Íñ³·ñ³íáñÙ³Ý ÏÇñ³éٳٵ Ü. ê³ý³ñÛ³Ý ²Ù÷á÷áõÙ ²ß˳ï³ÝùÁ ÝíÇñí³Í ¿ ·»Ý»ïÇÏ Íñ³·ñ³íáñ³Ù³Ý ÙÇçáóáí Ãí³ÛÇÝ å³ïÏ»ñÝ»ñáõÙ ûµÛ»ÏïÝ»ñÇ Ñ³Ûïݳµ»ñÙ³Ý ¨ ¹³ë³Ï³ñ·Ù³Ý ËݹñÇ ùÝݳñÏÙ³ÝÁ: