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Automatic counting of Aedes Aegypti eggs deposited in ovitrap by algorithm of Digital Image Processing and Artificial Neural Network

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6 Author(s)
F. G. G. Elpídio ; Pós-Graduação em Engenharia Biomédica, Faculdade Gama, Universidade de Brasília, Gama, Brasil ; L. F. R. Costa ; M. M. Andrade ; E. A. Costa
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According to World Health Organization, Dengue is identified as one of the main pandemic viral disease in tropical and semi-tropical countries in the world. A lot of researches have divulged that the use of ovitraps has itself shown a simple and inexpensive alternative for monitoring and controlling Dengue vector, Aedes Aegypti, but generally the process of counting Dengue mosquito eggs in ovitraps is performed manually. This paper describes a proposal for automatic counting of Aedes Aegypti eggs deposited in ovitraps by Digital Image Processing techniques associated to an Artificial Neural Network.

Published in:

2011 Pan American Health Care Exchanges

Date of Conference:

March 28 2011-April 1 2011