Filtros : "Paiva, Jônatas" Limpar


  • Source: Hybrid soft computing for image segmentation. Unidade: ICMC

    Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SANTOS, Anderson et al. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms. Hybrid soft computing for image segmentation. Tradução . Cham: Springer International Publishing, 2016. p. 321 . Disponível em: https://doi.org/10.1007/978-3-319-47223-2_8. Acesso em: 08 maio 2024.
    • APA

      Santos, A., Paiva, J., Toledo, C. F. M., & Pedrini, H. (2016). Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms. In Hybrid soft computing for image segmentation (p. 321 ). Cham: Springer International Publishing. doi:10.1007/978-3-319-47223-2_8
    • NLM

      Santos A, Paiva J, Toledo CFM, Pedrini H. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms [Internet]. In: Hybrid soft computing for image segmentation. Cham: Springer International Publishing; 2016. p. 321 .[citado 2024 maio 08 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8
    • Vancouver

      Santos A, Paiva J, Toledo CFM, Pedrini H. Improved human skin segmentation using fuzzy fusion based on optimized thresholds by genetic algorithms [Internet]. In: Hybrid soft computing for image segmentation. Cham: Springer International Publishing; 2016. p. 321 .[citado 2024 maio 08 ] Available from: https://doi.org/10.1007/978-3-319-47223-2_8

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