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Accurate detection and complete shape extraction of sand-flies using Gaussian mixture model

Authors :
Jamila Ghrab
Ahmed Nejmedine Machraoui
Mounir Sayadi
Mohamed Fethi Diouani
Source :
International Image Processing, Applications and Systems Conference.
Publication Year :
2014
Publisher :
IEEE, 2014.

Abstract

This paper presents a method for the accurate detection of the positions of moving phlebotomenae (sand-flies), and the extraction of their complete shape. The proposed method is based on the background subtraction approach, with a statistical background model found using Gaussian mixture model. Furthermore, a method based on the maximization of interclass variance, is used to eliminate wings of the phlebotomenae and then detect accurately its position. Results are further used to study the behaviour of phlebotomenae, and subsequently, improve the traps to fight against many diseases transmitted by these insects, especially leishmaniasis. The experimental results show the efficiency of the proposed algorithm to accurately detect the position and extract the complete shape of moving phlebotomenaes even in case of very blurry ones.

Details

Database :
OpenAIRE
Journal :
International Image Processing, Applications and Systems Conference
Accession number :
edsair.doi...........c1fa8007e4b9c0ee5b0f318c2e59698a
Full Text :
https://doi.org/10.1109/ipas.2014.7043277