Mello Carlos A B, dos Santos Wellington P, Rodrigues Marco A B, Candeias Ana Lúcia B, Gusmão Cristine M G
Department of Computing and Systems, University of Pernambuco, Recife, Brazil.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3103-6. doi: 10.1109/IEMBS.2008.4649860.
The Aedes Aegypti mosquito is the vector of the most difficult public health problems in tropical and semi-tropical world: the epidemic proliferation of dengue, a viral disease that can cause human beings death specially in its most dangerous form, dengue haemorrhagic fever. One of the most useful methods for mosquito detection and surveillance is the ovitraps: special traps to collect eggs of the mosquito. It is very important to count the number of Aedes Aegypti eggs present in ovitraps. This counting is usually performed in a manual, visual and non-automatic form. This work approaches the development of automatic methods to count the number of eggs in ovitraps images using image processing, particularly color segmentation and mathematical morphology-based non-linear filters.
登革热的流行扩散，登革热是一种病毒性疾病，特别是在其最危险的形式——登革出血热中，可导致人类死亡。蚊虫检测和监测最有用的方法之一是诱蚊产卵器：收集蚊虫卵的特殊陷阱。计算诱蚊产卵器中埃及伊蚊卵的数量非常重要。这种计数通常以手动、视觉且非自动的方式进行。这项工作致力于开发自动方法，利用图像处理技术，特别是颜色分割和基于数学形态学的非线性滤波器，来计算诱蚊产卵器图像中的卵的数量。
