Um Sistema Automático de Classificação de Folhas Baseado em Características da Forma

  • Larissa Britto Universidade Federal Rural de Pernambuco
  • Luciano Pacífico Universidade Federal Rural de Pernambuco
  • Teresa Ludermir Universidade Federal de Pernambuco

Resumo


As plantas são peças indispensáveis para nossos ecossistemas, provendo recursos insubistituíveis para os animais. Porém, a identificação de espécies de plantas é uma tarefa difícil, e a maioria das pessoas não esté apta ao reconhecimento correto de muitas espécies de plantas. Neste trabalho, uma abordagem para o reconhecimento de espécies de plantas é desenvolvida, baseada na extração de características de forma das imagens de suas folhas. Uma base de dados de plantas medicinais é proposta, e quatro classificadores são testados como módulo de reconhecimento do sistema automático proposto. Os resultados experimentais mostram que os melhores classificadores são capazes de obter uma acurácia média acima de 98% na base de dados proposta.

Palavras-chave: Classificação Automática de Espécies de Plantas, Reconhecimento da Folha, Visão Computacional, Extração de Características

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Publicado
15/10/2019
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BRITTO, Larissa; PACÍFICO, Luciano; LUDERMIR, Teresa. Um Sistema Automático de Classificação de Folhas Baseado em Características da Forma. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 16. , 2019, Salvador. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 1008-1019. DOI: https://doi.org/10.5753/eniac.2019.9353.

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