• Resumo

    Reconhecimento de Padrões em Imagens de Triatomíneos Usando Redes Neurais Artificiais com Algoritmo Backpropagation

    Data de publicação: 04/09/2020

    ABSTRACT
    Chagas disease, also known as American trypanosomiasis is
    one of the consequences of the human infection caused by the
    flagellate protozoan called Trypanosoma cruzi transmitted
    by the barbeiro of the subfamily Triatominae known as triatomines.
    In the Lower Tocantins region of the state of Para,
    three genera of barbers transmitting the disease are found.
    Searching for a way to automate the manual recognition process,
    this work aimed to implement a Model of Recognition
    and Classification of Images of barbers found in the Lower
    Tocantins region in order to recognize the genus of the insect
    through the use of Artificial Neural Networks Perceptron
    Multi-layered and performing training with Backpropagation
    algorithm, helping to identify the transmitters. In the
    middle of this recognition, the Digital Image Processing is
    performed to extract important characteristics relevant to the
    classification. This entire process is performed in MATLAB
    software through scripts and the creation of the Artificial
    Neural Network in the toolbox called Pattern Recognition
    App.

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