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This paper describes a methodology for automatic diagnosis of filariasis, a tropical disease that represents a serious health problem in the State of Pernambuco, Northeast of Brazil. The medical diagnosis of filariasis is made scanning blood samples under an optical microscope and counting the number of a microscopic warm, commonly known as microfilariae. The methodology is based on the theories of Mathematical Morphology and Pattern Recognition and uses digital microscopic images, with resolution 640x480x64, as inputs. Using a training set with 56 patterns, the automatic recognition of microfilariaes was performed by a Linear Discriminant Function with 4 features only, and the automation viability of this diagnosis was finally confirmed through the excellent classification results.
Síntese de Imagens
Reconhecimento de Padrões
Visualização de Dados
Visão por Computador
Aplicações em Medicina
Modelagem e Visualização
Animação e Multimídia
Processamento de Imagens
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